diff --git "a/config.json" "b/config.json" --- "a/config.json" +++ "b/config.json" @@ -1,5 +1,4 @@ { - "_name_or_path": "facebook/bart-large-mnli", "_num_labels": 3, "activation_dropout": 0.0, "activation_function": "gelu", @@ -26,708 +25,156 @@ "forced_eos_token_id": 2, "gradient_checkpointing": false, "id2label": { - "0": "FileParser: Extracts valuable information from a specific file format.\nSearchEngine: Search for specific information on the web.\nPhoneNumberExtractor: Extract phone number from the text.\nEmailExtractor: Extract email addresses from text.\nFinish: Used to end the task.", - "1": "SpreadsheetGenerator: Creates spreadsheets and populates them with data from scratch.\nFileParser: Extracts valuable information from a specific file format.\nSearchEngine: Search for specific information on the web.\nPhoneNumberExtractor: Extract phone number from the text.\nEmailExtractor: Extract email addresses from text.\nFinish: Used to end the task.", - "2": "ImageClassifier: classifies images.\nFolderManager: Create and manage folders.\nEmailNotifier: Sends a notification to the specified mailbox.\nPhoneNumberExtractor: Extract phone number from the text.\nFileOrganizer: organizes documents according to specified rules.\nFinish: Used to end the task.", - "3": "SpreadsheetGenerator: Creates spreadsheets and populates them with data from scratch.\nFileParser: Extracts valuable information from a specific file format.\nSearchEngine: Search for specific information on the web.\nPhoneNumberExtractor: Extract phone number from the text.\nEmailExtractor: Extract email addresses from text.\nFinish: Used to end the task.\nDatasetBuilder: Used to create datasets.", - "4": "Content Summarizer: provides a summary of the text.\nText Analysis: Performs text analysis and returns insights about the text.\nLanguage Generation: Generate text according to the given constraints.\nTable Extractor: Extracts data from a table.\nFinish: Used to end the task.", - "5": "DocumentClassifier: Classify documents from text.\nSentimentAnalyzer: analyzes emotional tendencies from text.\nSpamDetector: detects spam in text.\nFinish: Used to end the task.", - "6": "WordSearcher: Checks whether the text contains a specific word.\nSummarizer: summarizes the content of the text.\nTranslator: translates the text.\nFinish: Used to end the task.", - "7": "WebsiteCrawler: Crawling data from a specific website.\nFileParser: Extracts valuable information from a specific file format.\nWIKIPEDIA: An encyclopedic database containing a wealth of information on a wide range of subjects, including country/region information.\nFinish: Used to end the task.", - "8": "WikiSummarizer: generates article summaries from Wikipedia pages.\nTranslationTool: Translate text.\nGrammarCorrector: Checks for grammatical errors and provides suggestions for corrections.\nLanguageModel: Generate natural language text.\nFinish: Used to end the task.", - "9": "APICaller: Access to third-party services via API.\nCalendar: Manage appointments and events.\nEmail: Send and receive e-mail.\nFileParser: Extracts valuable information from a specific file format.\nMicrosoft Word: for writing and editing documents.\nFinish: Used to end the task.", - "10": "WebsiteCrawler: Crawling data from a specific website.\nFileParser: Extracts valuable information from a specific file format.\nSearchEngine: Search for specific information on the web.\nAIRLINEDATABASE: A database containing aircraft information (manufacturer, model, range, etc.).\nFinish: Used to end the task.", - "11": "WordCounter: statistics on the frequency of occurrence of each word in the text.\nTextSummarizer: Summarizes the text content and generates a summary.\nTranslator: translates text into another language.\nFinish: Used to end the task.", - "12": "ImgGen: generates images based on text descriptions.\nTextSentiment: Analyzing emotional tendencies from text.\nTextSummarizer: summarizes the main elements of the text.\nFinish: Used to end the task.", - "13": "SearchEngine: searching the web for specific information\nNewsExtractor: extracts key news information from text\nTextSummarizer: automatic summarization of text content\nFinish: Used to end the task.", - "14": "EmailPhoneExtractor: Extract email addresses and phone numbers from text.\nPerformanceTester: test the system performance, generate performance analysis report.\nFinish: Used to end the task.", - "15": "EntityRecognizer: from the text to extract the names of people, places, organizations and other entities.\nSentimentAnalyzer: analyzes emotional tendencies from text.\nSpamDetector: detects spam in text.\nFinish: Used to end the task.", - "16": "TextRewriterTool: According to the given source text to generate different styles of text.\nSentimentAnalysisTool: Analyze the sentiment of the text.\nSummarizationTool: Summarizes the text.\nFinish: Used to end the task.", - "17": "JewelryExpert: Provides expert advice on jewelry design and production.\nTutorialVideo: Provides tutorial videos on various topics.\nSketchbookApp: an application for creating and modifying sketches and designs.\nFinish: Used to end the task.", - "18": "FileSearcher: Finds lines in a file.\nLineCounter: statistics file in the number of lines.\nDuplicationAnalyzer: Analyzes duplicate lines in a file.\nFinish: Used to end the task.", - "19": "WebCrawler: Crawling data from a specific website.\nPDFParser: from a particular file format to extract valuable information.\nSearchEngine: Search for specific information on the web.\nCARPETCLEANINGGUIDE: A guide document that instructs you on how to clean carpets.\nFinish: Used to end the task.", - "20": "HealthScanner: Scans and diagnoses system health.\nTaskManager: View currently running applications and processes, manage applications or processes.\nSystemMonitor: Real-time monitoring of system performance, including memory usage, CPU utilization and network connectivity.\nPerformanceTester: test the system performance, generate performance analysis report.\nFinish: Used to end the task.", - "21": "PinyinConverter: can convert Chinese text to Pinyin.\nFormatter: can convert the text format.\nTranslator: can translate text.\nFinish: Used to end the task.", - "22": "StockDataExtractor: Extracts historical stock data from a stock data source.\nDataVisualizer: visualization and analysis of data, generating charts.\nReportGenerator: Generates reports based on data.\nFinish: Used to end the task.", - "23": "WebsiteCrawler: Crawling data from a specific website.\nFileParser: Extracts valuable information from a specific file format.\nSearchEngine: Search for specific information on the web.\nDatabase: Finds information from a relational database or similar data structure.\nFinish: Used to end the task.", - "24": "APICaller: Access to third-party services via API.\nCodex: a large multimodal model capable of generating texts in different languages and styles.\nFileParser: Extracts valuable information from a specific file format.\nShellExecutor: Executes shell commands and returns a response.\nFinish: Used to end the task.", - "25": "GradeCalculator: Calculates a student's course grade and total points.\nDataFormatter: Convert data to table format.\nPrinter: Prints the document.\nFinish: Used to end the task.", - "26": "PDFConverter: PDF can be converted to Word.\nImageExtractor: can extract text from images.\nTextSummarizer: can summarize text.\nWordGenerator: You can generate Word documents based on the text.\nFinish: Used to end the task.", - "27": "Canva: a graphic design platform offering a variety of design templates and elements.\nCopy.ai: a copywriting tool that helps generate creative copy and taglines.\nWordPress: a website building platform that offers a variety of themes and plugins.\nMailchimp: an email marketing platform for creating and sending email campaigns.\nFinish: Used to end the task.", - "28": "LogAnalyzer: Analyzes log files to extract key information.\nTaskManager: View currently running applications and processes, manage applications or processes.\nSystemMonitor: Real-time monitoring of system performance, including memory usage, CPU utilization and network connectivity.\nPerformanceTester: test the system performance, generate performance analysis report.\nFinish: Used to end the task.", - "29": "Deduplicator: can be de-duplicated text files to generate the de-duplicated file.\nWordCounter: can count the number of words in the text file.\nFinish: Used to end the task.", - "30": "JSONParser: Parses a JSON-formatted text file and extracts its fields and values.\nDataVisualizer: visualization and analysis of data, generating charts.\nPerformanceTester: test the system performance, generate performance analysis report.\nFinish: Used to end the task.", - "31": "SpreadsheetGenerator: Creates spreadsheets and populates them with data from scratch.\nFileParser: Extracts valuable information from a specific file format.\nWebSearch: Search for specific information on the Web.\nFinish: Used to end the task.", - "32": "WeatherAPI: You can query the weather information of a specific location.\nDataVisualizer: You can visualize and analyze data and generate charts.\nPerformanceTester: You can test the performance of the system and generate performance analysis reports.\nFinish: Used to end the task.", - "33": "HTTrack: website downloader\nwget: command line download tool\naria2c: command line download tool\njDownloader: graphical download manager\nFinish: Used to end the task.", - "34": "KeywordExtractor: can extract keywords from the text.\nFinish: Used to end the task.", - "35": "Houzz: a home design website offering interior design ideas and professional services.\nPinterest: a social media platform that allows users to create and share visual content.\nBooks: Publications in print or digital format, containing text and images.\nFinish: Used to end the task.", - "36": "Translator: can translate text.\nFormatter: can convert the text format.\nFinish: Used to end the task.", - "37": "SlideCreator: You can create slide presentations.\nImageSearcher: You can search and download images.\nTextSummarizer: can summarize text.\nFinish: Used to end the task.", - "38": "PDFExtractor: PDF files can be extracted from the form.\nDataVisualizer: You can visualize and analyze data and generate charts.\nPerformanceTester: You can test the performance of the system and generate performance analysis reports.\nFinish: Used to end the task.", - "39": "Invoice Generator: Can generate invoices.\nFormatter: can convert the text format.\nCheck grammar: You can check grammar.\nFinish: Used to end the task.", - "40": "Jasper: a powerful AI copywriter and content generator that provides multilingual writing, grammar checking and plagiarism detection.\nGrammarly: a tool that focuses on English grammar and style checking, providing instant feedback and writing advice.\nHemingway Editor: an editor that improves the clarity and conciseness of writing, providing readability analysis and style suggestions.\nFinish: Used to end the task.", - "41": "TextConverter: can convert text format.\nUpperCaser: Converts text to uppercase.\nFinish: Used to end the task.", - "42": "JSONParser: Parses JSON-formatted text and extracts its fields and values.\nDataVisualizer: visualization and analysis of data, generating charts.\nPerformanceTester: test the system performance, generate performance analysis report.\nFinish: Used to end the task.", - "43": "RecipeGenerator: Can generate recipes based on given dietary restrictions and taste preferences.\nSummarizer: can summarize long texts into a more concise form.\nFinish: Used to end the task.", - "44": "ImageOCR: Convert text in images to editable text.\nSentimentAnalyzer: analyzes emotional tendencies from text.\nTextSummarizer: Summarizes the main elements of the text.\nFinish: Used to end the task.", - "45": "WebCrawler: Crawling data from a specific website.\nRepairGuideDATABASE: Provides documentation on how to repair various products.\nFinish: Used to end the task.", - "46": "SentimentAnalyzer: analyzes emotional tendencies from text.\nSpamDetector: detects spam in text.\nLabelClassifier: classifies text.\nFinish: Used to end the task.", - "47": "ImageProcessor: Can process images, including face and object detection.\nFileManager: can manage files.\nFinish: Used to end the task.", - "48": "CSVReader: Read CSV file and extract text data.\nDataFormatter: Formatting text data.\nTextSummarizer: summarizes text data.\nFinish: Used to end the task.", - "49": "DataTool: for collecting and analyzing scientific data\nWritingTool: for writing reports\nTranslateTool: for translation of reports\nReviewTool: for reviewing reports and obtaining feedback\nSubmitTool: for submitting reports\nFinish: used to end the task", - "50": "SupportTool: used to collect and categorize client issues\nAssignTool: Used to assign issues to relevant support staff based on the type of issue\nIssueTool: for tracking the status of issues and updating clients\nEvaluationTool: to assess the performance of support staff and provide feedback\nFinish: used to end the task", - "51": "AudienceTool: used to identify target audiences for fundraising activities\nResearchTool: for researching and selecting types of fundraising activities\nPlanningTool: used to prepare activity plans and determine budgets\nVolunteerTool: for recruiting volunteers and assigning tasks\nPromotionTool: for publicizing events and attracting donations\nTrackingTool: for tracking the progress of activities and evaluating their effectiveness\nFinish: used to end the task", - "52": "DiscoveryTool: for identifying user needs and pain points\nDesignTool: for functional prototyping\nDevelopmentTool: used to develop functionality and perform unit testing\nIntegrationTool: for integrating functionality into existing systems\nUATTool: used for user acceptance testing\nDeploymentTool: for deploying features and monitoring their performance\nFinish: used to end the task", - "53": "GoalTool: Used to define goals and key performance indicators for the sales team\nRecruitTool: for recruitment and training of sales staff\nProcessTool: for the development of sales processes and sales tactics\nTrackingTool: for tracking sales performance and providing guidance\nMeetingTool: used to organize sales team meetings and develop sales strategies\nIncentiveTool: for developing incentives and recognizing sales personnel\nFinish: used to end the task", - "54": "AuthTool: used to implement user registration and login functions\nProductTool: Used to create product catalogs and allow users to browse and search for products.\nOrderTool: used to manage orders, including placing orders, tracking orders and processing returns\nFinanceTool: for financial management, including income and expenditure tracking and financial statement generation\nAPITool: used to create and manage application interfaces\nSecurityTool: Used to enhance the security of an application.\nFinish: used to end the task", - "55": "MissionTool: used to define the organization's mission, vision and core values\nSWOTTool: for environmental scanning and identification of opportunities and challenges\nGoalTool: for the development of strategic objectives\nActivityTool: Used to identify activities required to achieve objectives\nReportTool: for writing strategic plan reports\nFinish: used to end the task", - "56": "WireframeTool: used to determine the layout and navigation structure of the site\nDesignTool: for designing the visual elements of the website\nResponsiveTool: used to optimize the display of the site on different devices\nDeployTool: for deploying and testing websites\nFinish: used to end the task", - "57": "DataLoadingTool: for loading and cleaning data sets\nEDAtool: for exploratory data analysis\nPatternTool: used to identify patterns and trends in data\nVisualizationTool: for designing and creating interactive visualization dashboards\nFinish: used to end the task", - "58": "MarketResearchTool: for conducting market research and identifying target audiences\nKeywordTool: for identifying and optimizing key phrases for use in digital marketing campaigns\nContentTool: for creating and optimizing content for digital marketing campaigns\nSocialMediaTool: for managing social media accounts and running social media marketing campaigns\nEmailTool: for managing e-mail lists and running e-mail marketing campaigns\nAnalyticsTool: for tracking and analyzing the performance of digital marketing campaigns\nFinish: used to end the task", - "59": "ResearchTool: for research on definitions and principles of CSR\nAnalysisTool: to analyze the impact of CSR on corporate reputation and financial performance\nImpactTool: for exploring the positive social and environmental impacts of CSR\nWritingTool: for the preparation and revision of draft reports\nFinalizeTool: for finalizing reports\nFinish: used to end the task", - "60": "ScopeTool: Used to define the scope and objectives of client services\nChannelTool: used to establish support channels and set up self-service options\nTrainingTool: used to train customer service staff and create a knowledge base\nTrackingTool: for tracking customer interactions and analyzing customer feedback\nImprovementTool: used to improve customer service processes based on customer feedback\nFinish: used to end the task", - "61": "DataIntegrationTool: for extracting and integrating customer data from different sources\nAIAnalysisTool: for analyzing customer data and recognizing patterns using AI techniques\nCampaignTool: used to generate personalized campaigns based on customer data and patterns\nMarketingTool: for automating the distribution and execution of marketing campaigns\nAnalyticsTool: for tracking and analyzing the performance of marketing campaigns\nFinish: used to end the task", - "62": "DataCollectionTool: used to collect and organize data on customer issues and conversations\nNLPTool: for training AI models to understand natural language\nChatbotTool: for the design and development of chatbot interfaces\nDeploymentTool: for deploying and monitoring chatbots\nFinish: used to end the task", - "63": "SWOTTool: used to analyse the current organizational situation and the external environment\nVisionTool: to define the organization's vision, mission and values\nGoalTool: for the development of strategic objectives and the identification of indicators to achieve them.\nPlanTool: used to develop action plans to achieve strategic objectives\nEvaluationTool: for periodic evaluation and adjustment of the strategic plan\nFinish: used to end the task", - "64": "AuthTool: used to design and implement user registration and login processes\nSocialTool: for integrating social media platforms\nRecommendationTool: used to provide personalized recommendations based on user preferences and behaviour\nNotificationTool: used to set up push notifications\nAppDevelopmentTool: for the development of mobile applications\nSecurityTool: Used to enhance the security of an application.\nFinish: used to end the task", - "65": "GoalTool: used to define project goals and scope\nTaskTool: used to break down projects and create task lists\nEstimateTool: used to estimate the duration and cost of tasks\nScheduleTool: used to create project schedules\nTrackingTool: for tracking project progress and updating plans\nFinish: used to end the task", - "66": "DataCollectionTool: used to collect and organize customer data\nInteractionTool: used to manage customer interactions and track customer activity\nAnalyticsTool: used to analyze client data to identify patterns and trends\nCXTool: for optimizing customer experience and increasing customer satisfaction\nAutomationTool: for automating the sales process to improve efficiency\nFinish: used to end the task", - "67": "DataCollectionTool: used to collect and organize customer information\nInteractionTrackingTool: for tracking customer interactions\nSupportTool: used to manage customer support requests\nAnalyticsTool: for analyzing customer data and identifying trends and patterns\nMarketingTool: for the development and implementation of targeted marketing campaigns\nFinish: used to end the task", - "68": "WebAnalyticsTool: for collecting and analyzing data on website and social media activity\nDataVisualizationTool: Used to visualize and create reports on collected data.\nEmailTool: used to send emails to target audiences\nFinish: used to end the task", - "69": "KeywordTool: for keyword research, to determine the target keywords\nContentTool: for optimizing website content\nStructureTool: for optimizing website structure and internal links\nBacklinkTool: for building high-quality outbound links\nAnalyticsTool: for tracking website SEO performance and making adjustments\nFinish: used to end the task", - "70": "DataCollectionTool: for collecting and organizing product information\nStorytellingTool: for turning product information into compelling stories and examples\nContentCreationTool: used to create interactive content such as quizzes, games and simulations\nModuleTool: for integrating content into training modules and adding navigation\nDeploymentTool: for deploying training modules and tracking participation and effectiveness\nFinish: used to end the task", - "71": "ProcessAnalyzerTool: used to analyze the current transportation process\nOptimizationTool: for designing optimized transport solutions\nPrototypingTool: for creating prototypes\nTestingTool: for testing prototypes and collecting feedback\nImprovementTool: used to improve solutions based on feedback\nDeploymentTool: for deployment and monitoring of the final solution\nFinish: used to end the task", - "72": "ProductTool: for determining product information and creating product catalogs\nCartTool: Used to set up the shopping cart function, so that users can add and remove products\nPaymentTool: used to integrate payment gateways and process online payments\nOrderTool: Used to provide order tracking functionality, allowing users to understand the status of the order\nDesignTool: for designing website layouts and optimizing the user experience\nAnalyticsTool: for analysis of website traffic and optimization of website performance\nFinish: used to end the task", - "73": "KeywordTool: for keyword research\nContentTool: for optimizing website content\nOutreachTool: for obtaining backlinks\nAnalyticsTool: for analyzing website performance\nFinish: used to end the task", - "74": "JobDescriptionTool: for writing job descriptions\nJobPostingTool: for posting jobs to job boards\nResumeScreeningTool: for screening resumes and scheduling interviews\nInterviewTool: used to conduct interviews and assess candidates\nOfferTool: for making offers and completing the onboarding process\nFinish: used to end the task", - "75": "DocumentTool: for collecting and organizing documentary research information\nOutlineTool: for creating and optimizing thesis outlines\nWritingTool: for writing the first draft of a paper\nEditingTool: for touching up and proofreading the first draft of the paper\nCitationTool: used to cite literature and generate reference lists\nFinish: used to end the task", - "76": "ExtractTool: Extraction of financial data and financial analysis, including calculation of ratios and indicators\nTrendTool: identify trends in key indicators in the financial statements\nInsightTool: recommendations for improvement based on financial analysis\nReportTool: create financial reports and visualize analysis results\nFinish: used to end the task", - "77": "BrainstormingTool: for brainstorming and idea generation\nResearchTool: for collecting and analyzing market data\nEmailTool: for creating and sending emails\nFeedbackTool: used to collect and analyze customer feedback\nFinish: used to end the task", - "78": "WebsiteBuilderTool: basic structure and design for building websites\nOrderingTool: for integrating online ordering functionality\nMenuTool: for adding menus and dish information\nReviewTool: for setting up a review and rating system\nPaymentTool: for processing online payments\nSecurityTool: for enhanced website security\nFinish: used to end the task", - "79": "GatherTool: for gathering and organizing existing knowledge and resources\nTaxonomyTool: used to create classification and labeling systems\nKnowledgeTool: platform for the design and development of knowledge bases\nImportTool: for importing and organizing knowledge base content\nPromoteTool: to promote and train staff in the use of the knowledge base\nFinish: used to end the task", - "80": "WebBuilderTool: for designing and creating web content\nUserTool: used to add user registration and login functions\nDonationTool: for integration of online donation functionality\nEventTool: used to manage events and allow users to register for events\nFinish: used to end the task", - "81": "DesignTool: for designing website page layouts and navigation\nContentTool: for writing content for websites\nImageTool: for image optimization\nSEOToo: for the implementation of SEO strategies\nHostingTool: for selecting and managing web hosting services\nFinish: used to end the task", - "82": "DataPreprocessingTool: for data preprocessing and cleansing\nClusteringTool: for clustering\nLabelingTool: used to label clusters based on features\nAnalyticsTool: used to analyze tagging results\nFinish: used to end the task", - "83": "BrainstormingTool: for brainstorming and generating ideas\nCompetitiveAnalysisTool: for researching competitors\nLogoDesignTool: for designing brand logos\nColorTool: for color selection\nFontTool: for selecting fonts\nDesignTool: for integrating all elements\nFinish: used to end the task", - "84": "EventTool: for planning events and identifying target audiences\nDonorTool: for managing the donor database and collecting contributions\nExecutionTool: used to execute activities and ensure that they run smoothly\nEvaluationTool: to assess the effectiveness of activities and draw lessons learned\nFinish: used to end the task", - "85": "UIDesignTool: UI/UX for design platforms\nBackendTool: backend for development platforms\nMatchingTool: used to create algorithms to match users and facilitate connections\nPaymentTool: used to integrate payment gateways to process membership fees\nDeploymentTool: used to deploy the platform and perform ongoing maintenance\nAnalyticsTool: for tracking platform metrics and analyzing user behavior\nSecurityTool: for enhancing the security of the platform\nFinish: used to end the task", - "86": "FeedbackTool: for collecting and analyzing customer feedback\nPainPointTool: used to identify customer pain points based on customer feedback\nSolutionTool: for designing and implementing solutions to address customer pain points\nPerformanceTool: for regular monitoring and evaluation of the performance of the customer service system.\nFinish: used to end the task", - "87": "DataPreprocessingTool: Preprocessing and cleansing of data sets\nFeatureExtractionTool: Extract features from data\nModelTrainingTool: training machine learning models\nModelEvaluationTool: Evaluate model performance\nDeploymentTool: deployment of trained models\nMissingPersonSearchTool: search for missing persons in the database\nFinish: used to end the task", - "88": "TicketingTool: for collecting and managing customer issues\nTaggingTool: used to categorize and tag issues based on issue type\nAssignmentTool: Used to assign issues to the appropriate support personnel\nTrackingTool: used to track issue resolution status and provide customer updates\nAnalyticsTool: used to analyze problematic trends and identify areas for improvement\nKnowledgebaseTool: used to create and maintain a knowledge base to help customers self-solve problems\nFinish: used to end the task", - "89": "DataCollectionTool: used to collect and organize customer data\nDataAnalysisTool: used to analyze client data to identify opportunities and risks\nStrategyTool: used to develop marketing and sales strategies based on customer analysis\nCRMTool: for implementing the CRM system and training staff in its use.\nMonitoringTool: Used to monitor the use of the CRM system and make improvements.\nFinish: used to end the task", - "90": "MarketAnalysisTool: for analyzing market data and trends\nAudienceSegmentationTool: for target audience segmentation\nContentCreationTool: for creating marketing content\nSocialMediaMarketingTool: for implementing social media marketing campaigns\nEmailMarketingTool: for executing email marketing campaigns\nSearchEngineMarketingTool: for the implementation of search engine marketing campaigns\nAnalyticsTool: for tracking and analyzing the results of marketing campaigns\nFinish: used to end the task", - "91": "ProductTool: for designing product catalogs and adding product information\nCartTool: Used to create shopping baskets and implement the checkout process.\nOrderTool: for processing orders and managing inventory\nCustomerTool: for managing customer information and providing customer support\nFinish: used to end the task", - "92": "SpeakerTool: for inviting and scheduling guest speakers\nVenueTool: for booking and setting up the venue for the event\nRegistrationTool: to manage participant registration and check-in\nMaterialTool: for the preparation and distribution of meeting materials\nTechTool: for on-site technical support for meetings\nFollowUpTool: for summarizing and following up after meetings\nFinish: used to end the task", - "93": "AnalyticsTool: used to analyze the current performance of the website and identify areas for improvement\nKeywordTool: Used to conduct keyword research to identify target keywords\nContentTool: Used to optimize the content of a website to make it relevant to the targeted keywords.\nBacklinkTool: Used to build quality backlinks to increase the credibility of a website.\nRankTrackerTool: Used to track the ranking and traffic of websites\nFinish: used to end the task", - "94": "DataLoadTool: Used to load data from a data source\nDataPreprocessTool: used to preprocess data and perform feature engineering\nMachineLearningTool: for modeling data using machine learning algorithms\nDataAnalysisTool: used to analyze data and extract insights based on model results\nVisualizationTool: for creating interactive dashboards to visualize insights and data\nFinish: used to end the task", - "95": "KeywordTool: for keyword research to determine the target keywords of the site\nContentTool: used to optimize website content to incorporate targeted keywords\nSiteStructureTool: used to optimize site structure and internal links to improve crawlability\nLinkBuildingTool: Used to build high-quality external links to enhance the authority of the site\nAnalyticsTool: for tracking SEO performance and continuous optimization\nFinish: used to end the task", - "96": "DataPrepTool: for preparing and exploring data sets\nModelTool: for selecting and training machine learning models\nEvaluationTool: for evaluation and selection of the most suitable model\nDeploymentTool: for deployment of machine learning models\nFinish: used to end the task", - "97": "MarketResearchTool: for industry and competitor research and analysis\nBrandPositioningTool: for determining brand positioning and brand personality\nLogoDesignTool: for designing brand identities, including logos, fonts and color schemes\nBrandGuideTool: Used to prepare a brand guide that explains the use and meaning of the brand logo.\nDeploymentTool: for deploying brand identity to company websites, social media and marketing materials\nFinish: used to end the task", - "98": "WebsiteBuilderTool: for the design and development of user-friendly websites\nPaymentTool: Used to set up payment gateways to process orders\nLiveChatTool: used to provide live chat support to clients\nEmailTool: for tracking order status and sending updates via email\nAnalyticsTool: used to analyze website data to optimize the user experience\nFinish: used to end the task", - "99": "PaperAnalyzer: extracts key information from research papers\nReferenceExtractor: identifies other relevant studies cited in the paper\nSummarizer: short summary based on given inputs\nArgumentAnalyzer: Critical assessment of the arguments in a paper\nDataAnalyzer: use the given data to analyze and provide new insights\nFinish: used to end the task", - "100": "Interviewer: used to conduct user interviews\nNLPAnalyzer: used to analyze textual data and identify themes and patterns\nSuggestionGenerator: Suggests improvements based on the given inputs.\nInterfaceEditor: used to implement improvement suggestions in product prototypes\nInteractiveDemoCreator: for creating interactive demos\nUserTester: used to perform user tests\nFinish: used to end the task", - "101": "DataCollector: used to collect qualitative and quantitative data\nDataAnalyzer: used to analyze collected data\nMarketingPlanner: for the development of marketing plans\nCampaignManager: for implementation and management of marketing campaigns\nAnalyticsTool: for tracking and analyzing the effectiveness of marketing campaigns\nFinish: used to end the task", - "102": "FileRetriever: used to get text files\nTrendAnalyzer: used to analyze trends\nSuggestionGenerator: Suggests improvements based on the given inputs.\nInterfaceEditor: used to implement suggestions for improvements in presentations\nInteractiveDemoCreator: for creating interactive demos\nUserTester: used to perform user tests\nTrendAnalyzer: used to analyze user test results\nFinish: used to end the task", - "103": "Text2Prototyper: Generate product prototypes from text descriptions\nEvaluator: Evaluating and improving prototypes based on user feedback\nPresentationCreator: create presentations based on improved prototypes\nUserTester: user testing based on presentation content\nReportWriter: Writes a summary report describing the findings and improvements made throughout the process.\nFinish: used to end the task", - "104": "AudienceProfiler: used to analyze the characteristics and behavior of the target audience\nMarketingPlanner: used to develop marketing strategies\nContentCreator: for creating marketing content\nCampaignManager: for marketing campaigns\nAnalyticsTool: for analyzing the results of marketing campaigns\nFinish: used to end the task", - "105": "Crawler: for crawling website content\nIndexer: used to generate searchable indexes\nSearchEngine: used to implement the search function\nFilter: used to implement advanced search functions\nRanker: used to sort search results\nTester: for testing the search function\nMonitor: Used to monitor the use of the search function.\nFinish: used to end the task", - "106": "Interviewer: used to conduct user interviews\nQualitativeAnalyzer: used to analyze interview responses\nSuggestionGenerator: Suggests improvements based on the given inputs.\nInterfaceEditor: used to implement improvement suggestions in prototypes\nInteractiveDemoCreator: for creating interactive demos\nUserTester: used to perform user tests\nFinish: used to end the task", - "107": "DataFilter: used to filter data sets\nClusteringTool: for clustering data items\nDataVisualizer: used to visualize data items\nDataReorganizer: used to reorganize visualization results\nFinish: used to end the task", - "108": "SurveyCreator: used to create user surveys\nSurveyAnalyzer: used to analyze the results of user surveys\nSuggestionGenerator: Suggests improvements based on the given inputs.\nInterfaceEditor: used to implement improvement suggestions in product prototypes\nInteractiveDemoCreator: for creating interactive demos\nUserTester: used to perform user tests\nFinish: used to end the task", - "109": "AppDesigner: for the design and development of mobile applications\nMLAnalyzer: for analysing data and providing personalized recommendations\nFeedbackCollector: used to collect user feedback\nThirdPartyIntegrator: for integration of third-party services\nAppDeployer: used to deploy mobile applications\nFinish: used to end the task", - "110": "Interviewer: used to conduct user interviews\nFeedbackAnalyzer: used to analyze user feedback\nSuggestionGenerator: Suggests improvements based on the given inputs.\nPrototypeBuilder: for creating prototypes of social media platforms\nUserTester: used to perform user tests\nFinish: used to end the task", - "111": "ObjectDetector: recognizes objects in an image\nLocationIdentifier: according to the recognized object, determine the location of the picture taken\nTagger: Tagging images\nImageDescriber: Generate a text describing the image based on the content of the image.\nStyleTransfer: re-generate an image as an art style version of the original image\nFinish: used to end the task", - "112": "NER: Recognition of named entities in text, such as names of people, places, organizations, etc.\nTableGenerator: presents data in table form\nSummarizer: automatic summarization of long texts\nSentenceExtractor: according to the given summary, from the text to extract the relevant sentences\nFinish: used to end the task", - "113": "SocialMediaDataCollector: used to collect social media data\nDataAnalyzer: used to analyze data\nReportGenerator: used to generate reports\nPresentationCreator: for creating presentations\nPresentationViewer: for displaying presentations\nFinish: used to end the task", - "114": "UserResearcher: for designing and conducting user research\nQuantitativeAnalyzer: used to analyze quantitative data\nQualitativeAnalyzer: used to analyze quantitative data\nSuggestionGenerator: Suggests improvements based on given inputs\nAppUpdater: for updating applications\nInteractiveDemoCreator: for creating interactive demos\nUserTester: used to perform user tests\nFinish: used to end the task", - "115": "UserSurvey: used to collect user feedback\nDesignSpecEditor: used to define UI and UX design specifications\nInterfaceEditor: for implementing design specifications in prototypes\nInteractiveDemoCreator: for creating interactive demos\nUsabilityTester: used to perform usability testing\nSuggestionGenerator: Suggests improvements based on given inputs\nFinish: used to end the task", - "116": "EntityExtractor: Extract entities and their attributes from text data.\nKnowledgeGraphBuilder: Builds a knowledge graph based on the extracted entities and their attributes.\nGraphVisualizer: visualizes the knowledge graph and provides an interactive interface.\nGraphEditor: allows users to edit and update the knowledge graph.\nFinish: Used to end the task.", - "117": "InformationExtractor: recognizes key information in the text\nEventExtractor: extracts key events and episodes from the text\nTextSummarizer: automatic summarization of long texts\nTranslator: translation of text\nFinish: used to end the task", - "118": "NER: Identifies named entities in text, such as names of people, places, organizations, etc.\nTextSummarizer: automatic summarization of long texts\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nRiskIdentifier: Identifies potential risk factors in the text.\nOpportunityIdentifier: Identifies potential opportunities in the text.\nFinish: used to end the task", - "119": "RequirementExtractor: extracts requirements from documents\nSpecGenerator: generating product specifications on demand\nSpecWriter: Write product specification sheets\nSpecReviewer: review and validation of product specification sheets\nFinish: used to end the task", - "120": "NER: Identification of named entities in text, such as names of persons, places, organizations, etc.\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nTextSummarizer: automatic summarization of long texts\nFinish: used to end the task\nChartGenerator: generates visualization charts based on given data", - "121": "BrandAnalyzer: analyzing a company's brand and values\nLogoCreator: designing a logo concept\nUserTester: Perform user tests\nLogoRefiner: Revise and refine the logo design based on user feedback.\nLogoGenerator: generates final logo design files\nFinish: used to end the task", - "122": "PaperReader: for reading and extracting information from academic papers\nDataExtractor: used to extract data from text\nReportWriter: for writing reports\nExperimentDesigner: for designing experiments\nExperimentExecutor: used to perform experiments\nResultAnalyzer: used to analyze the results of experiments\nFinish: used to end the task", - "123": "CodeSyntaxChecker: checking code syntax\nSecurityAuditor: detecting and fixing security vulnerabilities\nCodeAnalyzer: code analysis tool for analyzing code structure, readability and efficiency\nSuggestionGenerator: Suggests improvements based on given inputs\nCodeEditor: fixing code based on suggestions for improvement\nFinish: used to end the task", - "124": "MachineTranslator: translating Chinese text into English\nNER: Recognition of named entities in text, such as names of people, places, organizations, etc.\nTextSummarizer: automatic summarization of long texts\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nSlideCreator: create interactive slide presentations\nFinish: used to end the task", - "125": "RegexMatcher: matches regular expressions in text\nMachineLearningClassifier: subject classification of text\nInformationExtractor: Extracts key information from text based on topic classification\nTranslator: translation of text into the target language\nFinish: used to end the task", - "126": "SocialMediaFeedbackCollector: collects user feedback from social media platforms\nFeedbackAnalyzer: analyzing user feedback\nSuggestionGenerator: Suggests improvements based on the given inputs.\nSurveyDesigner: designing user questionnaires\nSurveyResultAnalyzer: analyzes results of user surveys\nInterfaceEditor: Implementing improvement suggestions in prototypes\nInteractiveDemoCreator: creating interactive demos\nFinish: used to end the task", - "127": "TopicSelector: used to select topics for blog posts and keyword research\nTextWriter: used to write the first draft of a blog post\nAIRewriter: used to touch up and optimize articles to improve readability and search engine optimization\nMediaSelector: used to select images and video clips for blog posts\nProofreader: used to proofread and edit blog posts to ensure that they are free of errors and conform to established style guidelines\nFinish: used to end the task", - "128": "KeywordResearchTool: used to analyze the behavior and interests of target audiences on social media platforms\nContentCalendarCreator: for creating content calendars\nSocialMediaManager: used to create and schedule social media posts\nSocialMediaAnalyticsTool: for monitoring the performance of social media campaigns\nSuggestionGenerator: Suggests improvements based on given inputs\nFinish: used to end the task", - "129": "TaskManager: used to create and manage task lists\nCollaborationTool: used to share task lists with other users\nTaskOrganizer: used to sort and filter tasks\nReminder: used to set reminders for tasks\nProgressTracker: used to track the completion of tasks\nFinish: used to end the task", - "130": "Searcher: used to search for relevant information\nSorter: for sifting and organizing information\nReportWriter: for writing reports\nProofreader: for proofreading reports\nTranslator: for translation of reports\nFinish: used to end the task", - "131": "DatabaseConnector: Used to connect to the product database and get data\nFeatureExtractor: used to identify key features and benefits from product data\nPresentationDesigner: for designing presentation templates\nPresentationCreator: for creating presentations using templates\nUserTester: used to perform user tests\nInteractiveDemoCreator: for creating interactive demos\nFinish: used to end the task", - "132": "TaskManager: Provides an interface for users to create and manage tasks.\nNaturalLanguageProcessor: allows users to use natural language input tasks\nTaskSummarizer: Automatically generates task summaries based on user input.\nSpeechRecognizer: allows users to control applications using voice commands\nHelpSystem: Provides a help system for the application so that users can easily find the information they need.\nFinish: used to end the task", - "133": "ProjectIdentifier: Identifies the project associated with the email based on the subject and sender information.\nMachineTranslator: translation of e-mail into Chinese\nActionItemExtractor: according to the content of the mail, extract action items, and prioritization\nReplyComposer: Compose a reply, with associated action items.\nMachineTranslator: translation of replies into English\nEmailSender: send the reply to the sender\nFinish: used to end the task", - "134": "AIWritingAssistant: recognizes problem areas in copywriting and generates copywriting ideas and suggestions\nToneAnalyzer: analyzing the tone and style of the text\nLanguageTranslator: translates text into multiple languages\nImpactEstimator: assessing the impact of texts\nFinish: used to end the task", - "135": "Translator: for translating text\nTopicIdentifier: used to identify the topic in the text\nImageEditor: for creating and editing images\nContentEnricher: used to enrich text with external information\nProofreader: used for proofreading errors in the text\nFinish: used to end the task", - "136": "VideoAnalyzer: used to analyze video and identify people, objects and actions\nVideoSummarizer: generates a video summary based on the given video information.\nVideoValidator: Used to verify the accuracy and completeness of video summaries.\nVideoEditor: for editing videos\nFinish: used to end the task", - "137": "DateNumberRecognizer: recognize dates and numbers in text\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nTextSummarizer: automatic summarization of long texts\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nSummarizerCustomizer: customizing text summaries to specific audiences\nFinish: used to end the task", - "138": "IntentClassifier: Used to identify customer issues or requests\nKnowledgeSearcher: searching the knowledge base based on client questions or requests\nResponseGenerator: generates responses to client questions using a natural language generator\nMessenger: used to send the response to the client\nFeedbackAnalyzer: analytical tool to analyze feedback\nFinish: used to end the task", - "139": "KeywordExtractor: extract keywords and key phrases in Chinese text\nTextSummarizer: automatic summarization of Chinese text\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nTranslator: translating Chinese text into English\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nTextSummarizer: automatic summarization of English text\nFinish: used to end the task", - "140": "NER: Identifies named entities in text, such as names of people, places, organizations, etc.\nTextClassifier: subject classification of text\nKeywordExtractor: extract keywords from text\nSearcher: search for relevant documents based on given topics and keywords\nEntityDeduplicator: de-duplication of entities\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nVisualizationTool: visualization of the data\nFinish: used to end the task", - "141": "TutorialGenerator: Write a tutorial on a given topic\nDataProcessor: processes data and performs calculations\nReportWriter: generates a report based on the given inputs\nFinish: used to end the task", - "142": "ResumeBuilder: helps prepare resumes and cover letters\nJobPoster: posting resumes and cover letters on job boards\nInterviewSimulator: practice for common interview questions\nApplicationTracker: tracking the progress of job applications\nTimeManager: managing time and effort\nFinish: used to end the task", - "143": "SearchEngine: for searching for books on specific topics\nBookInspector: Used to check if books match reading preferences\nCandidateListManager: Used to manage the list of candidate books.\nBookRanker: used to sort books according to reading preferences\nOnlineShopping: for the purchase of books\nFinish: used to end the task", - "144": "NER: Identifies named entities in text, such as names of people, places, organizations, etc.\nTextSummarizer: automatic summarization of long texts\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nEntityCorrector: verifies the correctness of entity mentions and frequency statistics in the text.\nFinish: used to end the task", - "145": "CorpusCollector: for collecting a corpus of texts\nPreprocessor: used to preprocess text documents\nSummarizer: for training and use of text summarization models\nEvaluator: used to evaluate the text summarization model\nFinish: used to end the task", - "146": "NER: Identifies named entities in text, such as names of people, places, organizations, etc.\nTextSummarizer: automatic summarization of long texts\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nFinish: used to end the task", - "147": "FinancialDataExtractor: Extracting key financial indicators from financial statements\nFinancialRatioCalculator: Calculation of financial ratios using financial indicators\nDataVisualizer: visualization of financial ratios using charts and graphs\nLinearRegressionModeler: Using linear regression models to predict future financial performance\nReportGenerator: generating reports using forecast results\nFinish: used to end the task", - "148": "ObjectDetector: detects objects in the image\nFaceDetector: Detecting faces in images\nAgeGenderEstimator: Estimation of the age and gender of a face\nEntityFrequencyCounter: counts the frequency of specific entities in an image\nImageSummarizer: summarizes the main elements of an image\nFinish: used to end the task", - "149": "FirewallInstaller: Installs the firewall.\nPortManager: Manages ports.\nAccessController: Manages access control.\nAutoUpdater: Manages automatic system updates.\nReportGenerator: Generates a report with completed tasks.\nFinish: Used to end the task.", - "150": "TextTool: Processes text files, including replacing text content.\nFindTool: Find a specific word or phrase in a file.\nFileTool: Manages files and directories, including moving files.\nFinish: Used to end the task.", - "151": "MetadataInspector: Checks the metadata properties of a file.\nPermissionManager: Updates permissions on files and directories.\nFileExplorer: Open and browse folders, group and sort files.\nDiffTool: Compares the differences between two folders and generates a report file.\nArchiver: Archives the contents of a folder into a zip file.\nFileZipper: Compresses the contents of a folder into a zip file.\nFinish: Used to end the task.", - "152": "FindFiles: Find files according to the given conditions.\nCheckFileAge: Checks the creation time of a file and determines if it exceeds the specified threshold.\nDeleteFile: Deletes a file.\nHomeDirLister: Lists the home directories of all users on the system.\nFinish: Used to end the task.", - "153": "RootExplorer: A tool for accessing and managing system catalogs.\nFolderManager: a tool for managing folders and files.\nPermissionModifier: a tool to change the permissions of files and directories.\nDeleter: A tool for deleting files and directories.\nFinish: used to end the task.", - "154": "Mkdir: Creates a directory structure in a Windows environment.\nICACLS: Set access rights for directories and files.\nNotepad: A text editor with basic text editing capabilities.\nFinish: Used to end the task.", - "155": "SystemPreferences: System settings management tool.\nTerminal: command-line tool.\nAddRemoveUtility: A tool to manage boot-up programs.\nFinish: used to end the task.", - "156": "FileManager: A file management tool for creating, deleting, copying, moving, and renaming files and directories.\nTerminal: A terminal emulator for executing commands.\ncd: A tool to change the current working directory.\ntouch: a tool to create a new file.\nFinish: Used to end the task.", - "157": "sudo: a tool for elevating privileges.\nGRUBCustomizer: A tool for customizing the GRUB boot menu.\nBootOrderSwapper: a tool for adjusting the boot order.\nFinish: used to end the task.", - "158": "Restart: for restarting the computer\nShutdown: for shutdown\nTaskManager: used to view the current status of the computer\nDiskCleanup: for cleaning disks\nFinish: used to end the task", - "159": "UserSettingsManager: Modify user settings on Linux systems.\nStartupManager: Manages the startup items for Linux systems.\nFinish: Used to end the task.", - "160": "FileExplorer: Opens and browses folders.\nDiffTool: Compare the differences between two folders.\nFileManager: Moves a folder to another folder.\nFinish: Used to end the task.", - "161": "FileExplorer: Manages files and folders on Windows systems.\nFolderPermissionEditor: Edit folder permissions in Windows.\nFolderEncrypter: Encrypts folders on Windows systems.\nPasswordManager: Save and manage passwords in Windows.\nFinish: Used to end the task.", - "162": "StartupManager: Manages system startup items.\nMemoryOptimizer: manages virtual memory settings.\nDiskCleaner: Cleans up disk space.\nReportGenerator: Generates a report with completed tasks.\nFinish: Used to end the task.", - "163": "FileLister: Lists all files on the system.\nFileStatusChecker: Checks the enabled/disabled status of a specified file.\nFileEnabler: Enables the specified file.\nListGenerator: Generates a list containing the required information.\nFinish: Used to end the task.", - "164": "Unixtool1: A tool to change directory permissions in bulk, with support for specifying permission values.\nUnixtool2: a tool to modify directory permissions in bulk, supporting inheritance of directory permissions from higher-level directories.\nFind: A tool for finding directories.\nFinish: Used to end the task.", - "165": "DependencyChecker: Checks for package dependencies on the current operating system.\nPackageManager: Install packages in a Linux environment.\nFinish: Used to end the task.", - "166": "Reboot: Reboot the machine in a Linux environment.\nSystemSetting: Modify system settings under Linux environment, including boot settings.\nFinish: Used to end the task.", - "167": "find: A tool that can be used in Linux environments to find files and directories\nmv: a tool for moving files and directories in a Linux environment\nFinish: Used to end the current task.", - "168": "runas: A tool in the Windows environment for running programs as a specified user.\nicacls: A tool for modifying the permissions of files and folders in a Windows environment.\nExplorer: A tool for managing files and folders in a Windows environment.\nFinish: Used to end the task.", - "169": "ServiceController: Control service start, stop, restart and other operations in the Windows environment.\nAutoruns: Sets the boot-up autostart of the service.\nShortcutCreator: Creates desktop shortcuts.\nFinish: Used to end the task.", - "170": "ControlPanel: A tool for managing and viewing user settings in a Windows environment.\nRegistryEditor: A tool for managing and viewing registry configurations in a Windows environment.\nFinish: Used to end the task.", - "171": "ls: a tool for getting the contents of a file in a Linux environment\nvim: a tool for creating and editing the contents of files in the Linux environment\ngrep: a text search tool for Linux environments\nsed: a tool for text editing in the Linux environment\nFinish: A tool for ending tasks using the Linux environment.", - "172": "chmod: a tool for managing file and directory permissions in a Linux environment\ncat: a tool for reading and writing the contents of files in a Linux environment\ntouch: A tool for creating or updating files in a Linux environment.\nls: a tool for getting the contents of a file in a Linux environment\nFinish: A tool for ending tasks using the Linux environment.", - "173": "PackageInstaller: Installs packages on Windows systems.\nEnvironmentManager: Manage environment variables of Windows system.\nFinish: Used to end the task.", - "174": "KernelUpdater: Updates the kernel version on Linux systems.\nKernelDownloader: Download kernel update packages on Linux systems.\nRestart: Restarts the computer in a Linux system.\nFinish: Used to end the task.", - "175": "MetadataInspector: Checks the metadata properties of a file.\nPermissionManager: Updates permissions on files and directories.\nFileExplorer: Open and browse folders, group and sort files.\nDiffTool: Compares the differences between two folders and generates a report file.\nArchiver: Archives the contents of a folder into a zip file.\nFinish: Used to end the task.", - "176": "CopyFile: Copy the file.\nOpenFile: Opens a file.\nCreateFile: Creates a new file.\nWriteFile: Write a file.\nFinish: Used to end the task.", - "177": "Yum: Install/update software app in CentOS environment.\nKernel: Managing kernel versions in a CentOS environment.\nRm: Deleting files in a CentOS environment.\ncloudApp: a hypothetical software app.\nFinish: Used to end the task.", - "178": "DiskPartitionManager: Resize partitions to allocate more space for EFI system partitions.\nBootRepairTool: Repair corrupted boot configuration data.\nSystemInfoTool: View and analyze system configuration information, including detailed information on hardware and software components.\nSystemRestoreTool: Restore the system to a specific previous point in time.\nFinish: Used to end the task.", - "179": "WindowsUpdate: can be used to update the kernel of the computer.\nFirewallManager: can be used to manage the firewall settings of your computer.\nPowerShell: can be used to execute advanced system commands.\nFinish: Used to end the task.", - "180": "OSTool1: Disable file recovery privilege protection.\nOSTool2: Empty all files in the Recycle Bin.\nOSTool3: Enable file recovery privilege protection.\nFinish: Used to end the task.", - "181": "SystemControl: Controls the boot, shutdown, and reboot operations of the computer in the macOS environment.\nCrontab: Setting up timed tasks in a macOS environment.\nFinish: Used to end the task.", - "182": "Find: Finds files in a given directory that meet certain criteria.\nSetCurrentDirectory: Changes the current working directory of the system.\nFinish: Used to end the task.", - "183": "UserDataExtractor: Used to parse the department name and original user name from the file.\nStringModifier: used to modify the string, such as adding prefixes.\nUserRenamer: Used to rename users.\nFinish: Used to end the task.", - "184": "AutorunEditor: A tool to manage boot items in Windows environment.\nTaskScheduler: a tool for creating and managing scheduled tasks in a Windows environment.\nFinish: Used to end the task.", - "185": "KernelUpdater: Updates/installs the kernel.\nBootloader: Modifies the bootloader to use the new kernel.\nFinish: Used to end the task.", - "186": "Installer: Installs software in the macOS environment.\nMover: Move files or folders in macOS environment.\nSystemControl: Set system preferences in macOS environment.\nOpener: Open a file or folder in macOS environment.\nFinish: Used to end the task.", - "187": "Mactool1: Query the kernel version.\nMactool2: Upgrade the kernel version.\nFinish: Used to end the task.", - "188": "control: a tool in the Windows environment that allows access to and modification of system settings and configurations\ndate: a tool for getting and setting date and time information in a Windows environment\nFinish: A tool for ending tasks using the Windows environment.", - "189": "SystemPreferences: Used to modify system preferences.\nEnergySaver: Used to manage power settings, such as optimizing power saving strategies for monitors and hard drives, adjusting the system's behavior in response to low power, and other related power management options.\nFinish: Used to end the task.", - "190": "PortLister: Lists all ports on the computer.\nUsageFinder: Identifies the program or process that is using the port.\nReportGenerator: Generates a report containing the required information.\nFilterDuplicateRemover: Removes duplicates from the list.\nFinish: Used to end the task.", - "191": "FileSorter: Sort files and folders by size.\nMaxFinder: Finds the largest file or folder in a file or folder.\nFileOperator: Performs operations on files and folders, such as deleting, moving or copying.\nFinish: Used to end the task.", - "192": "TextEditor: Open and browse text files.\nRegexTool: Used to search and replace specific text patterns.\nDiffTool: Compare the differences between two text files.\nFinish: Used to end the task.", - "193": "Updater: Updates the system in the macOS environment.\nAutoLogin: Set up automatic login on boot in macOS environment.\nFinish: Used to end the task.", - "194": "SystemControl: Controls the boot, shutdown, and reboot operations of the computer in the macOS environment.\nAppStore: Install software APP in macOS environment.\nTerminal: Managing kernel versions in a macOS environment.\ntestApp: a hypothetical software app.\nFinish: Used to end the task.", - "195": "UpdatePackages: Used to connect to the specified repository and download all available package updates, while ensuring that the system's automatic reboot function is not triggered during the update process.\nSetSystemSetting: Responsible for modifying the system configuration, including but not limited to silent mode settings, update installation settings, etc., to ensure that the system is able to conform to the expected operational behavior under certain conditions.\nFinish: Used to end the task.", - "196": "ExcelParser: used to parse and read Excel table data, processing different data types and multiple formats.\nFilter: Selects and extracts the specified columns from the parsed data, ensuring that the extracted data meets the requirements.\nDataCleaner: Used to clean extracted data, remove invalid records, correct data errors and standardize data formats.\nAggregator: Performs statistics and aggregation on the cleaned data, generating detailed statistical reports and data analysis results.\nCSVWriter: Exports processed and aggregated data to a CSV file, ensuring that the data can be easily analyzed and shared later.\nFinish: Used to end the task.", - "197": "TextModeBoot: Boot the system in text mode.\nNetworkConfigurator: Configures network settings.\nWifiConnector: Connects to a Wi-Fi network.\nFinish: Used to end the task.", - "198": "FirewallConfigurator: Used to manage and adjust network protection measures and set access rights.\nNetworkMonitor: Used to monitor the activity of network devices and collect traffic information.\nLogAnalyzer: Used to analyze system event logs and identify exceptions and errors.\nEmailNotifier: Used to set up an automated notification mechanism to send email alerts.\nTrafficShaper: Used to optimize network resource allocation and control bandwidth usage.\nSystemHealthChecker: Conducts comprehensive system checks to ensure that services are functioning properly.\nFinish: Marks the completion status of the task.", - "199": "WebScraper: Used to collect the latest articles from different news sites.\nTextAnalyzer: used to extract keywords in the article.\nTrendAnalyzer: used to analyze keyword trends.\nChartBuilder: Used to create charts of trends.\nReportGenerator: Used to generate reports.\nEmailSender: Used to send reports to subscribing users.\nFinish: Used to end the task.", - "200": "WebScraper: Used to scrape data from web pages.\nDataAnalyzer: Used to analyze data and extract key information.\nRecommendationEngine: used to recommend learning resources based on student learning.\nMonitoringTool: for monitoring key indicators of the student learning process.\nVisualizationTool: used to visualize student learning data.\nTaskManager: Used to manage task flow and work allocation.\nFinish: used to end the task.", - "201": "Scraper: Used to crawl website content on a regular basis.\nDiffChecker: Used to compare differences between old and new content.\nSentimentAnalyzer: Sentiment analysis of text.\nReportGenerator: generates analytical reports.\nDatabaseManager: stores and manages analytical reports.\nVisualizer: provides a visual interface to the data.\nFinish: Used to end the task.\nWeatherChecker: a tool for checking current weather conditions.", - "202": "FormBuilder: Used to create custom forms to collect user information.\nRecommendationEngine: Used to analyze user information and generate a list of recommended travel destinations.\nSearchEngine: Provides query functionality that allows users to filter destinations based on specific requirements.\nPerformanceMonitor: Used to monitor and record system performance.\nDatabase: Provides a database for storing user information and system records.\nFinish: Used to end the task.", - "203": "WebCrawler: Used to collect page content from multiple websites.\nKeywordExtractor: extracts keywords and their weights from page content.\nRankAnalyzer: Ranking analysis of pages based on keyword weights.\nPageSpeedAnalyzer: analyzes page load speed and response time.\nVisualizationTool: A tool to provide visualization reports.\nSecurityChecker: A tool for checking the security of websites.\nFinish: Used to end the task.", - "204": "FormCollector: Used to collect form data and store it in the database.\nRecommendationEngine: Provides personalized recommendation algorithms to generate travel recommendations based on user preferences.\nPreferenceEditor: Allows users to query and modify their personal preferences.\nPerformanceMonitor: monitors system performance and provides alert services.\nUserDataManager: Used to store and manage user information and recommendation results.\nEmailSender: Sends email notifications.\nFinish: Used to end the task.", - "205": "Scraper: Used to scrape content from different websites.\nSentimentAnalyzer: analyzes the emotional tendencies of a text.\nClassifier: Classifies news according to the results of sentiment analysis.\nReportGenerator: generates reports and stores them.\nDatabaseManager: Used to manage and store data.\nTranslator: Used to translate texts in different languages.\nPlotter: used to generate charts and visualize data.\nFinish: Used to end the task.", - "206": "DataExtractor: Extracts user data from various sources (e.g. browsing history, shopping history).\nFeatureExtractor: Extracts consumer features from user data.\nSaleDataExtractor: Get historical product sales data.\nRecommender: personalized recommendations based on user characteristics and product attributes.\nFinish: Used to end the task.", - "207": "ContentExtractor: Extracts content from web pages, documents and online materials.\nAnalyzer: Analyzes the extracted content and identifies the main themes.\nSummarizer: generates a summary based on the results of the analysis.\nFinish: Used to end the task.", - "208": "WebScraper: Used to crawl the content of websites.\nContentAnalyzer: Keyword analysis of stored content.\nSEOOptimizer: optimizes website content based on keyword analysis.\nReportGenerator: Provides optimization reports.\nPerformanceMonitor: Monitor site performance.\nDataStore: Stores web crawler content and analytics data.\nImageEditor: Used to edit image files.\nFinish: Used to end the task.", - "209": "CPU-Z: Used to analyze the hardware configuration of the computer.\nGeekbench: Used to run benchmark tests to evaluate the performance of a computer.\nExcel: Used to record test results and generate reports.\nNoteTaker: Used to create and manage notes, you can record text, add tags and categorize.\nErrorLogger: Used to log and manage errors.\nFinish: Used to end the task.", - "210": "WebScraper: Crawl web page data.\nDataAnalyzer: analyzes data and generates statistical information.\nTopicExtractor: extracts the main topics from the text.\nDataVisualizer: generates a visualization report of the data.\nDatabaseManager: manages and stores data.\nScheduler: performs tasks on a regular basis.\nJsonFormatter: the data will be converted to JSON format.\nFinish: Used to end the task.", - "211": "BrowserDataExtractor: Browser Data Extractor: Browser Data Extractor is a tool that extracts information from user's browsing history and shopping data.\nMLRecommender: a machine learning recommendation system that predicts product recommendations based on user data.\nFashionMatcher: A clothing matcher that compares the characteristics of different garments and provides matching suggestions.\nFinish: Used to end the task.", - "212": "NLPAnalyzer: Used to analyze key information in text data, such as keywords of interest.\nElasticSearch: provides powerful full-text search and analysis functions for searching related books.\nRecommendationEngine: the implementation of the recommendation system, according to user preferences and search results for recommendation.\nMySQL: Provides a scalable relational database for storing user preferences and recommendation results.\nWebCrawler: Used to crawl book information and reviews from the web.\nFinish: Used to end the task.", - "213": "SpeedChecker: used to check the loading speed of websites\nSecurityAnalyzer: used to analyze websites for security vulnerabilities\nSEOChecker: for checking the SEO status of websites\nOptimizationAdvisor: provides optimization advice\nReportGenerator: generates detailed reports\nPDFExporter: save the report as a PDF file\nJsonFormatter: output the processed data in the specified Json format.\nEmailSender: for sending emails\nFinish: used to end the task", - "214": "WebScraper: Used to crawl information from different websites.\nDataAnalyzer: Used to analyze and extract valuable data.\nContentFormatter: Used to optimize and format content.\nSEOMonitor: Used to monitor the SEO performance of content.\nCloudStorage: Used to store and manage data.\nWeatherChecker: a tool for checking current weather conditions.\nPDFViewer: used to open and browse PDF files, support zoom, search and bookmarks.\nFinish: Used to end the task.", - "215": "WebFetcher: Crawls web content and extracts keywords.\nSearchIndexer: indexes and sorts web page content according to keywords.\nRankTool: Sort web content by relevance and time.\nFinish: Used to end the task.", - "216": "WebScanner: Used to scan websites and detect security vulnerabilities.\nSecurityAdvisor: Provides security advice to help fix vulnerabilities.\nReportGenerator: Generates visual reports showing security scan results and recommendations.\nLogAnalyzer: analyzes log files to detect abnormal activity.\nFirewallManager: Manages network firewalls to enhance security.\nFinish: Used to end the task.", - "217": "URLGenerator: Used to generate URLs for different product pages of an e-commerce site.\nWebScraper: used to crawl the content of the web page, including product information, prices, etc..\nPriceComparator: Used to compare the price of the same product on different e-commerce sites.\nDataVisualizer: used to visualize the results of price comparisons in charts.\nCSVExporter: Exports the processed data to a CSV file.\nPDFGenerator: the final comparison results to generate PDF reports.\nEmailSender: Used to send PDF reports to the specified mailbox.\nFinish: Used to end the task.", - "218": "PriceGrabber: Used to compare prices of the same product on different websites.\nProductReviewer: Used to view and analyze product reviews and ratings.\nPriceTracker: Used to track changes in product prices.\nNoteTaker: Used to create and manage notes, you can record text, add tags and categorize.\nErrorLogger: Used to log and manage errors.\nFinish: Used to end the task.", - "219": "TextExtractor: extract keywords from the text.\nRankExtractor: Sort keywords according to their weights.\nSecondaryExtractor: Extracts secondary keywords from weighted keywords.\nJsonFormatter: The processed data will be output in the specified Json format.\nFinish: Used to end the task.", - "220": "WebCrawler: crawls and analyzes web content.\nContentExtractor: Extract text content from web pages.\nDuplicationRemover: Removes duplicate page content.\nResultExporter: Exports the collected content locally.\nFinish: Used to end the task.", - "221": "SpeedChecker: Used to check the loading speed of a website.\nKeywordAnalyzer: Used to analyze the keyword optimization of the website.\nBacklinkChecker: Used to check the website's backlink situation.\nSEOReportGenerator: Used to generate reports on SEO improvement recommendations.\nPDFConverter: the report will generate PDF files.\nEmailSender: Used to send PDF reports to the specified mailbox.\nSiteMapGenerator: used to generate site maps.\nFinish: Used to end the task.", - "222": "WebScraper: used to collect content from website pages\nSEOAnalyzer: used to analyze key SEO data and generate optimization recommendations\nReportGenerator: used to generate SEO reports\nEmailSender: used to send reports to administrators\nPerformanceMonitor: for monitoring and reporting on SEO optimization results\nWeatherChecker: tool for checking current weather conditions\nNoteTaker: Used to create and manage notes, with the ability to record text, add tags and categorize them\nFinish: used to end the task", - "223": "TextExtractor: extracts keywords from the text and their corresponding weights in the current document.\nNoteTaker: Used to create and manage notes, you can record text, add tags and categorize.\nRankExtractor: Sort keywords according to weights.\nSecondaryExtractor: Extracts secondary keywords from weighted keywords.\nPDFViewer: used to open and browse PDF documents, support zoom, search and bookmarks.\nJsonFormatter: The processed data will be output in the specified Json format.\nWeatherChecker: a tool for checking current weather conditions.\nFinish: Used to end the task.", - "224": "SocialMediaCrawler: Crawls posts on social media platforms.\nSentimentAnalyzer: analyzes the sentiment of post content.\nFactorExtractor: Identifies factors that influence the sentiment of a post.\nResultAggregator: Aggregation analysis result.\nVisualizationTool: Visualize the results of the analysis.\nFinish: Used to end the task.", - "225": "WebFetcher: Web content crawler that extracts product information and prices.\nComparator: A multi-dimensional data comparison tool that allows you to compare products based on given conditions.\nRankTool: A sorting tool that sorts products in a specific order.\nFinish: Used to end the task.", - "226": "Grammarly: a grammar and spell-checking tool\nGoogleDocs: document creation and collaboration tools\nCanva: graphic design tool\nGoogleSearch: for performing Web-based online searches\nJasper: LLM assisted writing tool\nFinish: used to end the task", - "227": "WebCrawler: used to crawl web content.\nPriceExtractor: used to extract product price information from web pages.\nPriceComparator: Used to compare the price of multiple products.\nListFormatter: used to list products in the specified format output.\nFinish: Used to end the task.", - "228": "WebCrawler: crawls and analyzes web content.\nPriceExtractor: extracts price information from web pages.\nResultComparator: compares prices from different websites.\nFinish: Used to end the task.", - "229": "WebPageRetriever: Used to extract the HTML of specific pages on a given website.\nLinkExtractor: used to extract all links from HTML.\nFileWriter: used to write text to a file.\nNoteTaker: Used to create and manage notes, you can record text, add tags and categorize.\nErrorLogger: Used to log and manage errors.\nFinish: Used to end the task.", - "230": "WebCrawler: crawls and analyzes web content.\nPriceExtractor: Extracts price data from the page.\nDataComparator: compares the same data from different sources.\nFinish: Used to end the task.", - "231": "WebScanner: Used for vulnerability scanning and security assessment of websites.\nSSLChecker: Used to check whether the SSL certificate is valid.\nPermissionAnalyzer: Used to analyze the access permission settings of a website.\nSecurityReporter: Used to generate security reports.\nDatabaseManager: Used to store and manage assessment results.\nWebsiteBuilder: Used to build websites.\nFinish: Used to end the task.", - "232": "Octoparse: a web data collection tool that supports web crawling, data extraction and export.\nImport.io: a web data collection tool that supports web crawling, data extraction and export.\nApify: a web data collection tool that supports web crawling, data extraction and export.\nParseHub: a web data collection tool that supports web crawling, data extraction and export.\nDexi.io: a web data collection tool that supports web crawling, data extraction and export.\nPhantombuster: a web data collection tool that supports web crawling, data extraction and export.\nFinish: Used to end the task.", - "233": "VulnerabilityScanner: Used to check websites for vulnerabilities and weaknesses.\nAuthenticationManager: Used to enhance user authentication and access control.\nTrafficMonitor: Used to monitor website traffic and access patterns.\nEncryptionTool: Used to implement data encryption and secure transmission protocols.\nIncidentResponsePlanner: Used to establish an emergency response plan to deal with security incidents.\nWebsiteAnalyzer: used to analyze the structure and performance of websites.\nBackupManager: Used for regular backup of website data.\nFinish: Used to end the task.", - "234": "BeautifulSoup: Python library for extracting data from HTML or XML files.\nSelenium: Used to simulate user actions in the browser and support web automation.\nPandas: Python library for data cleansing and formatting.\nMatplotlib: Python library for drawing graphs for data visualization.\nFlask: lightweight Python framework for building web applications.\nDocker: A tool for containerizing applications for deployment.\nAWS S3: Object storage service for storing data and reports.\nFinish: Used to end the task.", - "235": "Glue: Provides data integration and ETL capabilities.\nLambda: Provides serverless computing capabilities and API gateway support.\nAppSync: Provides a GraphQL API for building real-time and offline applications.\nCloudWatch: Provides monitoring and alerting capabilities.\nDynamoDB: provides a fast and flexible serverless database.\nFinish: Used to end the task.", - "236": "SocialDataAnalyzer: Social data analyzer that analyzes and extracts user social media data.\nRecommenderEngine: Recommendation engine that generates personalized recommendations based on user data.\nInterfaceGenerator: Interface generator that creates user interfaces based on data.\nFinish: Used to end the task.", - "237": "WebSearcher: searching for information on web pages based on keywords\nUrlExtractor: extracts URLs from web pages\nTitleExtractor: extracts titles from web pages\nFilter: Filter results based on specific conditions\nMerge: combining multiple results into a single list\nFinish: Used to end the task.", - "238": "WebScraper: a tool for extracting information from web pages.\nTextExtractor: extracts keywords from the text and their corresponding weights in the current document.\nRankExtractor: Sort keywords according to weights.\nSecondaryExtractor: Extracts secondary keywords from weighted keywords.\nUserPreferenceAnalyzer: Analyzes user preferences and browsing history.\nJsonFormatter: The processed data will be output in the specified Json format.\nImageDownloader: Used to download images from web pages.\nFinish: Used to end the task.", - "239": "WebPageRetriever: Used to extract the HTML of all pages on a given Web site.\nLinkExtractor: used to extract all links from HTML.\nFileWriter: used to write text to a file.\nNoteTaker: Used to create and manage notes, you can record text, add tags and categorize.\nErrorLogger: Used to log and manage errors.\nFinish: Used to end the task.\nPDFExtractor: used to extract PDF documents from the specified URL.", - "240": "UserResearch: A user research tool that collects data on user behavior and preferences.\nPsychologyToolkit: A suite of psychology tools that provide in-depth analysis of users' psychological preferences and behavioral habits.\nConsumerBehaviorSimulator: Simulates consumer behavior and information needs.\nFinish: Used to end the task.", - "241": "WebCrawler: crawls and analyzes web content.\nLinkChecker: Checks the validity of all links on a web page.\nFinish: Used to end the task.", - "242": "MusicAnalyzer: music analyzer, can analyze music data.\nRecommenderEngine: Recommendation engine that generates personalized recommendations based on user data.\nStreamingServiceAPI: Streaming Service Application Programming Interface that allows access to data from music streaming services.\nWebInterfaceGenerator: Web interface generator , you can create a Web interface based on the data .\nFinish: Used to end the task.", - "243": "URLBuilder: Used to generate the URLs of different pages under a given website\nWebContentRetriever: used to obtain web content\nKeywordExtractor: used to extract from the web page specified keyword-related information\nDataFormatter: Used to format the retrieved information for subsequent use.\nPDFViewer: used to open and browse PDF documents, support zoom, search and bookmarks.\nJsonFormatter: The processed data will be output in the specified Json format.\nWeatherChecker: a tool for checking current weather conditions.\nFinish: Used to end the task.", - "244": "ImageEmotionAnalyzer: An image emotion analyzer that analyzes and extracts emotions from images.\nMusicGenerator: music generator, can generate music according to the conditions provided.\nInterfaceGenerator: Interface generator that creates user interfaces based on data.\nWebAudioPlayer: Web audio player, can play audio files.\nFinish: Used to end the task.", - "245": "Selenium: Web automation testing framework for automating interactions with web pages.\nBeautifulSoup: library for parsing HTML and XML documents.\nPandas: library for data manipulation and analysis.\nRequests: Library for sending HTTP requests.\nFinish: Used to end the task.", - "246": "WebScraper: crawls and analyzes web content.\nTextAnalyzer: analyzes text data and identifies its sentiment.\nSentimentSummarizer: Summarizes the results of the sentiment analysis of the text data.\nFinish: Used to end the task.", - "247": "WebPageTest: Web page performance testing tool that analyzes page loading speed and generates optimization recommendations.\nImageOptimizer: Image optimization tool that compresses and optimizes images in web pages to reduce page load time.\nFinish: Used to end the task.", - "248": "TextExtractor: Extract the keywords in the text.\nWordCounter: a comprehensive tool that provides two main functions -- analyzing keyword frequency and keyword clustering. However, only one function can be used in a single call to the tool.\nFeedbackClassifier: Classify customer feedback based on keyword associations.\nFeedbackSelector: Finds the most representative feedback from the categorized results.\nFinish: Used to end the task.", - "249": "PlantDataExtractor: Extracts plant names and characteristics from the database.\nFeatureAnalyzer: a comprehensive tool that provides two main functions - calculating plant frequencies and feature distributions, and performing similarity analysis - and can only be used for one function per invocation.\nSimilarityMapper: Generate plant classification maps based on similarity analysis.\nPlantRecommender: Recommends plant combinations suitable for different environments based on plant classification maps.\nFinish: Used to end the task.", - "250": "TextAnalyzer: a comprehensive tool that provides two main functions - extracting keywords from text and extracting topics from text. However, only one function can be used in a single call to the tool.\nImageClassifier: Classify images based on keywords.\nImageSelector: extracts representative images from the classification results.\nReportGenerator: Generates reports containing keywords, images and topics.\nFinish: Used to end the task.", - "251": "DataExtractor: a comprehensive tool that extracts specific information from text, such as customer sentiment, product and service information, but a single call to the tool can only extract one aspect of the information.\nDataAnalyzer: analyzes structured data to identify trends and themes.\nDataVisualizer: visualizes the results of the analysis, generating charts and graphs.\nReportGenerator: Generates reports based on the results of the analysis.\nFinish: Used to end the task.", - "252": "TextExtractor: extract text data.\nImageProcessor: A comprehensive tool for processing images that provides two main functions - resizing and formatting images. However, only one function can be used in a single call to the tool.\nReportGenerator: Synthesizes text and images to generate reports.\nFinish: Used to end the task.", - "253": "Extractor: Extracts the specified information from the input data.\nSorter: Sorts the data according to the specified fields.\nFilter: A comprehensive tool that provides three functions: filtering data according to specified conditions, summing data, and averaging data. However, a call to the tool can only use a function.\nAnalyzer: Analyzes text data to identify keywords or themes.\nFinish: Used to end the task.", - "254": "TextExtractor: Multi-functional tool, function one is to extract place name information from text, function two is to extract key information of people's names, a call can only use a function.\nDataClassifier: Classify the input data, you need to specify the classification rules.\nDataCounter: counts the number of different categories of data.\nChartGenerator: generates visualization charts based on input data.\nFinish: Used to end the task.", - "255": "TextExtractor: Extract keywords and key phrases from text files.\nSummarizer: a multifunctional tool, function one is to generate a summary based on keywords and key phrases, function two is to embellish the summary, only one function can be used in a single call.\nTranslator: translates text into another language.\nGrammarChecker: Checks text for grammatical errors.\nFinish: Used to end the task.", - "256": "KeywordExtractor: extract the keywords of the given document.\nDataAnalyzer: a multifunctional tool to analyze time-series data, function one is to count the amount of data in different time periods, function two is to analyze the relationship and distribution between different entities (such as authors), a call can only use a function.\nFinish: Used to end the task.", - "257": "TextTokenizer: a multi-functional tool to analyze time series data, function one is to segment the text, function two is to extract keywords and phrases and clustering of keywords and phrases, a call can only use a function.\nVisualizer: visualizes the clustering results.\nSummarizer: generates a summary of the document.\nFinish: Used to end the task.", - "258": "DataExtractor: Multi-functional tool to extract any specified data from the input data set, only one column at a time.\nDataCalculator: Multi-functional tool to calculate the input data, function one for the sum, function two for the average, a call can only use a function.\nFileSaver: Saves the data to the specified file.\nFinish: Used to end the task.", - "259": "ClusteringTool: Multi-function tool, function one is to extract keywords from the text, function two is to input keywords for clustering analysis, a call can only use a function.\nSummarizer: summarizes text based on clustering results.\nFileSaver: Saves summary results to a new text file.\nFinish: Used to end the task.", - "260": "TextCleaner: multi-functional tool for input text pre-processing, function one is to remove punctuation, function two is to convert the text to lowercase letters, function three is to deal with the deactivation of words, a call can only be used to use a function.\nTextVectorizer: Vectorizes the preprocessed text, assigning a unique ID to each word.\nNBTrainer: Train a plain Bayesian classifier for classifying text.\nEvaluator: Evaluates the performance of the classifier, including accuracy and recall.\nFinish: Used to end the task.", - "261": "TemperaturePlotter: Generates a monthly temperature profile for the city.\nClimateCalculator: a comprehensive tool that provides two main functions - calculating average annual temperature and precipitation, and analyzing urban climate types - with only one function available per call.\nCropRecommender: Recommends suitable agricultural crops according to climate type.\nSummaryGenerator: Summarizes the climatic characteristics of each city and generates results.\nFinish: Used to end the task.", - "262": "EntityExtractor: Multi-functional tool, function one is to extract entities from text and audio, function two is to categorize the extracted entities, only one function can be used in one call.\nKnowledgeMatcher: Match the extracted entities with the knowledge base to add more information.\nReportGenerator: generates a structured report based on the extracted entities.\nFinish: Used to end the task.", - "263": "TextExtractor: from the document to extract text information.\nKeywordExtractor: multi-functional tool, function one is to extract keywords from the text information, function two is to generate a summary from the text information, a call can only use a function.\nFileSaver: Saves data to a file.\nDataValidator: Checks the correctness of the data and ensures that all data are in the expected format.\nFinish: Used to end the task.", - "264": "NER: Entity recognition and classification tool.\nLinker: a multifunctional tool, function 1 being a tool for linking people's names entities to the knowledge base, and function 2 being a tool for linking place names entities to the knowledge base, with only one function available for a single invocation.\nVisualizer: a tool for visualizing entities and linking results.\nValidator: a tool for checking the correctness of entities and link results.\nFinish: Used to end the task.", - "265": "Tokenizer: a multi-functional tool, function one for the text of the word segmentation, removal of deactivated words, function two for the generation of bag-of-words model, a call can only be used to use a function.\nKeywordExtractor: extract the keywords in the text, and according to the word frequency sorting.\nTopicModeler: Modeling of the text in terms of topics, identifying several major topics.\nDataValidator: Checks the correctness of the topic modeling to ensure that all topics are as expected.\nFinish: Used to end the task.", - "266": "DataCleaner: multi-functional tools, function one for the input data cleaning, such as de-emphasis, removal of null values, function two for the input data numbering, a call can only use a function.\nTextAnalyzer: Performs thematic analysis of text data, identifying the topic of each line of text.\nReportGenerator: Generates a report based on the data entered.\nFinish: Used to end the task.", - "267": "TextClassifier: multi-functional tool, function one for the text of the subject classification, and the results will be exported to a new data table, function two for the input data statistics, a call can only use a function.\nFastTranslate: a lightweight translation tool that supports fast translation in multiple languages. It can only process one sentence per translation and does not preserve the formatting and style of the original text.\nDataVisualizer: Visualizes data as bar charts, pie charts, etc. Only one visualization type is supported per visualization and cannot be directly classified or counted.\nFinish: Used to end the task.", - "268": "TextCleaner: multi-functional tools, cleaning text data, function one for the removal of special characters, function two for the removal of punctuation, a call can only use a function.\nTokenizer: Segmentation of text and extraction of keywords.\nTextClassifier: text classification, and output classification results.\nSummarizer: summarizes text and generates reports.\nFinish: Used to end the task.", - "269": "EntityExtractor: Multi-function tool, function one is to extract entities from text, function two is to classify entities, a call can only use a function.\nSummarizer: generates summaries for entities.\nDeduplicator: De-duplication of data.\nClusterer: Clustering of data.\nFinish: Used to end the task.", - "270": "DataAnalyzer: multifunctional tool, function one is to analyze the text, extract keywords and statistics frequency, function two is to analyze the image, extract keywords and statistics frequency, a call can only use a function.\nCluster: Clustering based on the similarity of keywords, each time only a group of keywords for clustering.\nReportGenerator: Generates reports based on keywords and topics entered.\nFinish: Used to end the task.", - "271": "TextTokenizer: multi-functional tool, function one for the input text for the word , function two for the removal of deactivated words , a call can only use a function .\nWordFreqCounter: Word frequency statistics for the input text.\nWordFreqSorter: Sorts the input text in descending order of word frequency.\nDataVisualizer: Visualization of the input data.\nFinish: Used to end the task.", - "272": "WordExtractor: Extract the keywords in the text file, the output keyword list.\nWordCounterEx: multi-functional tool, function one is to count the frequency of keywords, function two is to generate reports, a call can only use a function.\nFinish: Used to end the task.", - "273": "Transcriber: Used for voice transcription, converting voice clips into text.\nAnalyzer: Used to perform sentiment analysis and to recognize the speaker's emotions.\nRecognizer: Used for speaker recognition, identifying the speaker, only one speaker can be recognized at a time.\nDenoiser: Used for background noise filtering and noise reduction.\nCombiner: Used to combine analysis results from different tools.\nFinish: Used to end the task.", - "274": "KeywordExtractor: extracts keywords from text files and counts the frequency of each keyword.\nWordCloudGenerator: multi-functional tool, function one is based on the frequency of keywords to generate keyword word cloud, function two is to customize the layout and style of the word cloud and provides a variety of settings so that users can adjust the appearance of the word cloud according to their own needs and preferences, a call can only be used to use a function.\nImageSaver: Saves keyword word clouds as images.\nFinish: Used to end the task.", - "275": "TextAnalyzer: extracts the subject and keywords of the text content.\nImageAnalyzer: Recognizes brands and products in images.\nReportGenerator: Multi-functional tool, function one for the specified text, documents and images to generate a report, function two to create a summary of the text, a call can only use a function.\nFinish: Used to end the task.", - "276": "TextParser: multi-functional tool to extract key information from the text, function one is to extract key text information, function two is to extract key numerical information, a call can only use a function.\nSentimentAnalyzer: Performs sentiment analysis of text to identify positive, negative, and neutral sentiments.\nReportBuilder: Creates reports containing key information and analysis results.\nFinish: Used to end the task.", - "277": "TextExtractor: multi-functional tool, function one is to extract key information in the text, function two is to extract the key information for classification, a call can only use a function.\nVisualization: visualization of summary information.\nTextSummarizer: summarizes categorized information.\nTextValidator: assesses the accuracy of summaries.\nFinish: Used to end the task.", - "278": "TextCleaner: multi-function tool, function one is to remove illegal characters in the given text data, function two is to remove all punctuation marks in the text data, a call can only use a function.\nTokenizer: text data for the classification of words, each time only a paragraph of text for the classification.\nWordCounter: statistical text data in the word frequency.\nWordCloudGenerator: generates word clouds based on word frequency.\nFinish: Used to end the task.", - "279": "Extractor: Multi-function tool, function one is to extract text data from the input data, function two is to extract digital data from the input data, a call can only use a function.\nCalculator: Performs calculations such as addition, subtraction, multiplication, and division on input data.\nSorter: Sorts the input data by the specified column.\nExporter: Exports data to a specified file or format.\nAggregator: Summarizes input data, e.g., sums, averages, etc.\nFinish: Used to end the task.", - "280": "KeywordExtractor: Multi-functional tool, function one is to extract keywords from input data for text data, function two is to extract keywords from input data for video and image data, only one function can be used in one call.\nObjectDetector: Recognizes objects in images and videos.\nContentInspector: Checks text, image and video content for sensitive information.\nFinish: Used to end the task.", - "281": "TextEnhancer: Multi-functional tool to extract keywords from the input text and enhance the input text, function one can add a text description of the specified content, function two for the generated content for the extraction of keywords, a call can only be used for a function.\nDataValidator: Checks the correctness of the data format and ensures that all data are in the expected format.\nFinish: Used to end the task.", - "282": "DataCleaner: Cleans the input data, such as de-weighting, removing nulls, formatting, percenting, etc., only one of the requirements can be cleaned at a time.\nDataJoiner: Associate two or more data tables and merge them according to specified conditions.\nDataCalculator: Perform calculations on the input data, such as summing, averaging, maximizing, minimizing, etc., only one of the requirements can be calculated at a time.\nDataAnalyzer: a multifunctional tool that analyzes input data and generates specified statistical information, function one generates pass rate information, function two generates average score information, and only one function can be used in a single call.\nReportGenerator: generates analytical reports, such as charts, tables, etc., and outputs them in a specified format.\nFinish: used to end the task.", - "283": "RegExtractor: extract keywords from text data according to regular expressions.\nCounter: multi-functional tool, function one is to count the number of occurrences of keywords in the text, function two is to specify the conditions of the data in ascending or descending order of the sort, a call can only be used to a function.\nReportGenerator: generates reports to visualize data.\nFinish: Used to end the task.", - "284": "KeywordExtractor: multi-functional tool, function one for the extraction of keywords in the text, function two can be extracted keyword statistics word frequency, a call can only use a function.\nSummarizer: summarizes the text according to the frequency of keywords.\nEvaluator: assesses the quality of the summaries and compares them with the original text.\nDataCleaner: Cleans the input data, such as removing null values, formatting, etc..\nFinish: Used to end the task.", - "285": "TextProcessor: multi-functional tools, text data processing, function one for the extraction of keywords in the text and in accordance with the specified conditions of sorting, function two for the generation of keyword lists, a call can only be used for a function.\nClassifier: Classifies text data according to a list of keywords.\nReportGenerator: Generates reports based on classification results.\nFinish: Used to end the task.", - "286": "KeywordExtractor: multi-functional tool, function one for the extraction of keywords in the specified text, function two for the extraction of all the phrases in the specified text, a call can only use a function.\nTopicModeler: analyzes the relevance of keywords to the subject matter of the text.\nAudienceAnalyzer: Determines the potential audience for the text.\nReportGenerator: Generates a text summary report, requiring keywords and audience analysis.\nFinish: Used to end the task.", - "287": "DataCleaner: Multi-functional tool to clean the input data, function one is to format the input data into a format that can be used for analysis, function two is to classify the text according to the specified rules, a call can only be used to use a function.\nDataAggregator: Aggregation and statistics on the input data, only one aggregation or statistics can be operated at a time.\nDataValidator: Checks the correctness of the data format and ensures that all data are in the expected format.\nFinish: Used to end the task.", - "288": "KeywordExtractor: multi-functional tool, function one is to extract the keywords in the given data, function two is to count the number of times the keywords appear, a call can only use a function.\nDocumentClassifier: according to the keywords for the classification of documents, and output classification results.\nFinish: Used to end the task.", - "289": "DataCleaner: multi-functional tool to clean the input data, function one is to specify the data to be de-emphasized, function two is to specify the content of the data formatting, a call can only be used to a function.\nDataAggregator: Performs data aggregation on formatted data.\nDataAnalyst: Performs data analysis on the aggregated data, such as calculating averages, percentages, and so on.\nChartGenerator: generates relevant visualization charts using the results of the analysis.\nTableau: Used to display visualization charts.\nFinish: Used to end the task.", - "290": "DataCleaner: Multi-functional tools, cleaning and formatting of input data, date data and currency data can be processed, but only one type of data can be processed in one call.\nDataValidator: Checks the correctness of the data format and ensures that all data are in the expected format.\nDataAnalyzer: Summarizes and analyzes data to generate reports.\nFinish: Used to end the task.", - "291": "DataModifier: Replaces the specified content with HTML character encoding.\nDataAnalyzer: Multi-functional tool to analyze data, function one is to calculate the specific day of the week based on date data, function two is based on the name and data to infer the gender of the character, a call can only be used to use a function.\nDataFormatter: data formatting, such as alignment, bolding, etc., each time only one of the requirements for formatting.\nFinish: Used to end the task.", - "292": "WordCounter: multi-functional tool, function one is to count the number of words in the text, function two is to count the number of times the text of the most TopN words, a call can only use a function.\nWordSearcher: searches the text for the presence of a particular word.\nFinish: Used to end the task.", - "293": "TextCleaner: multi-functional tool to clean text data, function one is to remove all the special characters in the given text data, function two is to remove the punctuation marks in the given text data, a call can only use a function.\nTextExtractor: extracts numbers from text.\nTextTokenizer: text for the classification of words.\nTextAnalyzer: the text after the classification of word frequency statistics.\nVisualizer: Visualizes the data, only one of the requirements can be visualized at a time.\nFinish: Used to end the task.", - "294": "ImagePreprocessor: Preprocesses images to remove noise and normalize size.\nFeatureExtractor: A comprehensive tool that provides two main functions - extracting image features, and generating feature vectors, only one function can be used per call.\nClusterAnalyzer: Clusters images using feature vectors to identify groups of similar animals.\nDescriptionGenerator: Generates animal descriptions and summarizes typical features based on clustering results.\nRepresentativeImageSelector: Outputs a representative image of each type of animal.\nFinish: Used to end the task.", - "295": "Deidentifier: multi-functional tools, desensitization of sensitive information in the text, function one is to desensitize the text information, function two is to desensitize the digital information, a call can only use a function.\nKeywordExtractor: used to extract keywords from the text.\nWordCounter: used for keyword frequency statistics.\nAuditor: Used to audit the desensitized information to ensure that the desensitization meets the requirements.\nFinish: Used to end the task.", - "296": "DataExtractor: multi-functional tool to extract data from a given data table in the specified format , function one for the extraction of phone number information , function two for the extraction of e-mail information , a call can only use a function .\nDataSummarizer: Summarizes data according to given rules.\nEmailSender: Sends the given content to the specified e-mail address.\nFinish: Used to end the task.", - "297": "DataCleaner: Cleans the input data, such as de-weighting, removing nulls, formatting, percenting, etc., only one of the requirements can be cleaned at a time.\nDataAnomalyDetector: Multi-functional tool to detect outliers in the data, function one is to mark the null value, function two is to mark other outliers, only one function can be used in one call.\nDataValidator: Checks the correctness of the data format and ensures that all data are in the expected format.\nFinish: Used to end the task.", - "298": "LangID: A fast language detection tool with good recognition rates for most mainstream languages, but may not be accurate enough for a few languages.\nLangDetect: a probabilistic model-based language detection tool that is accurate for European languages but performs poorly on other languages.\nPolyglot: Supports multilingual detection, especially optimized for recognition of non-mainstream languages.\nFastText: a language detection tool using deep learning models, slower in execution but highly accurate in multiple languages.\nFinish: Used to end the task.", - "299": "fastparse: used to parse SQL queries, fast, but the ability to handle complex queries is weak.\nSQLParser: Focus on parsing and modifying SQL queries , the ability to deal with complex queries , but a little slower , and can not handle nested queries .\npeewee: a lightweight ORM framework , focusing on simplicity and ease of use , high implementation efficiency , but does not support complex query logic .\nExParser: SQL conversion tool based on a large model, with powerful SQL query parsing capabilities, support for a variety of complex query logic, including nested queries, running slower, higher requirements for system resources\nFinish: Used to end the task.", - "300": "TextBlob: a simple and easy-to-use sentiment analysis tool, fast analysis speed, but the ability to recognize complex text and subtle sentiment is weak.\nVADER: a sentiment analysis tool specialized in social media texts, capable of identifying subtle sentiments in the text, but with a slow analysis speed.\nFlair: a sentiment analysis tool based on the Transformer model, which is good at recognizing complex text and nuanced sentiment, but takes a long time to fine-tune for the dataset.\nPolyglot: a multilingual sentiment analysis tool that is fast but weak in recognizing subtle sentiments.\nFinish: Used to end the task.", - "301": "spaCy: an open-source natural language processing library that provides entity recognition functionality, supports multiple languages, and has higher recognition accuracy but lower efficiency.\nNLTK: A widely used natural language processing library that also provides entity recognition, supports multiple languages, and has a similar recognition rate to spaCy, but is more efficient.\nHugging Face Transformers: a deep learning framework that provides a variety of pre-trained models, including those for entity recognition, with the highest recognition accuracy, but the lowest efficiency and higher system resource requirements.\nPolyglot NER: a library focusing on multilingual entity recognition, supporting multiple languages, with higher recognition accuracy and better efficiency than deep learning models, but still slower.\nFinish: Used to end the task.", - "302": "ImageMagick: a powerful image processing tools, conversion speed, but the conversion quality may be lower, and higher resource consumption.\nGraphicsMagick: a tool that focuses on image conversion, conversion speed is slower, but the conversion quality is higher, the resource consumption is also higher.\nPillow: a Python image processing library , conversion speed is moderate , conversion quality is moderate , resource consumption is moderate and easy to operate .\nOpenCV: a computer vision library, conversion speed is slow, but the conversion quality is high, the operation is complex.\nFinish: Used to end the task.", - "303": "TextRank: A keyword extraction tool based on graph algorithms, capable of recognizing high-frequency keywords, but there may be redundant keywords and complicated operation.\nRAKE: Keyword extraction tool based on co-occurrence, can reduce redundant keywords, but may miss some high-frequency keywords, suitable for small-scale text.\nTF-IDF: A statistical-based keyword extraction tool that balances high-frequency and redundant keywords, but with low implementation efficiency and relatively complex operation.\nKeyBERT: A keyword extraction tool based on a large model that can simultaneously meet the requirements of high-frequency and redundant keywords, easy to operate and suitable for large-scale text processing.\nFinish: Used to end the task.", - "304": "Spacy: A widely used natural language processing library that provides entity recognition capabilities, but recognizes a limited number of entity types and cannot recognize granular entity classes.\nStanza: A natural language processing toolkit developed by Stanford University that provides entity recognition capabilities and recognizes a more comprehensive set of entity types than Spacy, but with limited support for fine-grained entity classes.\nFlair: a natural language processing library that focuses on sequence annotation, providing entity recognition functionality that recognizes entity types between Spacy and Stanza, with general support for fine-grained entity classes.\nAllenNLP: A natural language processing toolkit developed by the Allen Institute for Artificial Intelligence that provides entity recognition functionality with a comprehensive range of recognized entity types and the ability to recognize granular entity classes.\nFinish: Used to end the task.", - "305": "TextBlob: A fast, dictionary-based sentiment analysis tool that is fast enough to recognize basic types of sentiment, but has low depth of analysis and accuracy.\nVADER: a rule-based sentiment analysis tool, faster, more accurate analysis, but the depth is not enough, suitable for slightly more complex sentiment analysis.\nFlair: a deep learning-based sentiment analysis tool, slower, higher depth of analysis and accuracy, suitable for complex sentiment analysis.\nFinish: Used to end the task.", - "306": "Sumy: a summary generation tool based on text similarity, good at extracting the key information of the document, but poor performance in terms of conciseness, not suitable for medium-length documents.\nTextRank: A summary generation tool based on graph theory algorithms that recognizes important sentences in a document, but sometimes produces lengthy summaries that are not suitable for processing medium-length documents.\nGensim: a topic-model-based summary generation tool that produces semantically coherent and concise summaries for medium-length documents.\ntransformers: a tool for generating summaries based on a large language model, capable of generating high-quality and diverse summaries, but with high demands on system resources.\nFinish: Used to end the task.", - "307": "random: Python built-in random number generation library, providing basic random number generation function, but the distribution of uniformity is poor, the generation speed is slow, write the file speed in general.\nnumpy: a scientific computing library, providing high-performance random number generation function, distribution uniformity is good, generate and write files very fast.\nscikit-learn: a machine learning library that provides functions for generating random numbers with good distribution uniformity, but average speed for generating and writing files.\nFinish: Used to end the task.", - "308": "TextRank: a graph model-based text summarization algorithm, good at extracting key information in the text, but the length of the generated summaries may be long and cannot guarantee conciseness.\nLSA: A text summarization algorithm based on latent semantic analysis, capable of generating short and informative summaries, but with limited ability to process complex text.\nLead-3: A simple summarization algorithm that extracts only the first three sentences of the text as a summary, generating fast speed, but the comprehensiveness and quality of the summary is poor.\nBERTSum: a text summarization algorithm based on a large model, capable of generating high-quality and information-rich summaries, suitable for processing complex text, although the implementation speed is slow.\nFinish: Used to end the task.", - "309": "RAKE: A keyword extraction tool based on graph theory, which is fast, but weak in topic recognition and unable to handle complex texts.\nTextRank: a keyword and topic extraction tool based on graph theory, slightly slower, better extraction results, but the effect of complex text processing in general.\nLDA: a probabilistic model based topic extraction tool, slower, stronger topic recognition ability, but weak support for keyword extraction, can not deal with complex text.\nBERT-Extractor: a keyword and topic extraction tool based on a large model, slower, with the best results, suitable for processing complex text.\nFinish: Used to end the task.", - "310": "Summarizer: a statistical model-based text summarization tool that automatically generates summaries, but sometimes deviates from the original text and usually produces longer summaries.\nTextTeaser: a machine learning-based text summarization tool that generates summaries that are faithful to the original text, but are sometimes too long and difficult to control within 50 words.\nQanta: a text summarization tool based on a question-and-answer system that generates summaries based on a given question, but is less effective in generating summaries when there is no clear question and the number of words is more difficult to control.\nT5 Summarization: a large model-based text summarization tool that generates high-quality summaries that are faithful to the original text, yet concise and clear, and can be limited to 50 words or less.\nFinish: Used to end the task.", - "311": "PDFCreator: a free PDF conversion tool, you can convert a variety of file formats to PDF, conversion speed, but may not be able to perfectly retain the original format, especially complex multimedia content.\nAdobe Acrobat: a paid PDF editing and conversion tools, can retain the original format with high precision, especially complex multimedia content, but the conversion speed is relatively slow.\nAspose.PDF: a cloud-based PDF conversion service, support for a variety of file format conversion, conversion quality, but need to pay to use, and processing complex multimedia content may be slower.\njPDFConverter: an open source Java library , you can convert a variety of file formats to PDF, conversion speed, but the complexity of the multimedia content support is limited, can not be converted to high precision .\nFinish: Used to end the task.", - "312": "Google Translate: a full-fledged translation tool, supports multiple languages, high quality translation, but slower when dealing with Chinese and German.\nDeepL: a neural network-based translation tool with high quality and exceptionally good support for Chinese and German, and very fast translation speeds.\nMicrosoft Translator: a translation tool developed by Microsoft, the translation quality is good and fast, but the performance is average when dealing with Chinese and German.\nAmazon Translate: a translation tool developed by Amazon, translation quality and speed are relatively balanced, but in the translation of Chinese and German is not as good as the mainstream program.\nFinish: Used to end the task.", - "313": "Sumy: a tool for summarization based on text similarity that generates short, accurate summaries and supports fast batch processing.\nTextRank: a tool for summarization based on graph algorithms that identifies important sentences in the text and generates comprehensive summaries, but is slow in batch processing.\nGensim: a tool for summarization based on topic modeling, capable of extracting topics from text and generating topic-based summaries, with slow single processing speed and insufficient batch processing capability.\nFinish: Used to end the task.", - "314": "TF-IDF: A classic text feature extraction method with high accuracy but slow execution speed, especially in multilingual environments.\nBM25: An improved text feature extraction method with high accuracy and speed that maintains good performance in multilingual environments.\nFastText: a deep learning-based text feature extraction method, the execution speed is fast, but the accuracy rate is slightly lower in multi-language environments.\nLucene: a full-text search engine that provides efficient text retrieval, but has weak support for multilingual text feature extraction and low accuracy.\nFinish: Used to end the task.", - "315": "TextBlob: A rule-based sentiment analysis library that is simple to use, but has weak support for medical terminology and cannot handle long texts.\nVADER: Focuses on sentiment analysis of social media texts, with good support for slang and informal terms, but limited understanding of medical terminology and long texts.\nFlair: a deep learning-based sentiment analysis library with good support for medical terminology, but less efficient for processing long texts.\nBERT-based model: A pre-trained model is used for sentiment analysis, which has better comprehension and processing capabilities for both medical terminology and long texts, but requires higher computational resources.\nFinish: Used to end the task.", - "316": "Audacity: an open source audio editing software, provides basic noise reduction functions, processing speed is slower, especially for high-frequency noise processing effect is poor.\nAdobe Audition: a professional audio editing software, provides advanced noise reduction algorithms, processing speed is medium, but the effect of high-frequency noise processing in general.\niZotope RX: a specialized noise reduction software with industry-leading noise reduction technology, excellent high-frequency noise processing, faster processing speeds, and the ability to meet low-latency requirements.\nFinish: Used to end the task.", - "317": "re: a text processing tool, support for regular expressions, can quickly match and extract numbers, but the processing efficiency of large files is low, the recognition of scientific notation is not comprehensive.\nNumPy: a powerful number processing library , provides a variety of ways to extract numbers from text , including scientific notation , and large files with high efficiency .\nPandas: a data analysis library, provides a read_csv () method, you can read the text file and extract the number, but mainly used for structured data, large file processing efficiency is not high.\nFinish: Used to end the task.", - "318": "DocParser: a document parsing tool that specializes in extracting information from plain text documents, but is unable to synthesize image content and has limited accuracy in multimodal documents.\nImageOCR: An optical character recognition tool that can extract text from images, but cannot process document structure and extract comprehensive information.\nVisionAI: A computer vision tool that recognizes objects and scenes in images, but is weak at extracting textual information, making it difficult to integrate the two types of information.\nGemini: A multimodal AI tool that extracts information from text and images and has the ability to synthesize and correlate both types of information, making it suitable for processing complex multimodal documents.\nFinish: Used to end the task.", - "319": "YOLOv5: A fast and accurate object detection model with high recognition rate for common objects, but may not perform well when dealing with small objects and complex backgrounds.\nFaster R-CNN: An object detection model based on a region suggestion network, which has a high accuracy in recognizing small objects and complex backgrounds, and can accurately recognize objects under different sizes, angles and lighting conditions.\nMask R-CNN: An instance segmentation model based on Faster R-CNN, which is able to detect and segment objects in an image at the same time, but it is slower and less effective when dealing with complex backgrounds.\nU-Net: A semantic segmentation model that is capable of pixel-level segmentation, but is less accurate in recognizing small objects and complex backgrounds.\nFinish: Used to end the task.", - "320": "PhoneNumber: a regular expression-based phone number extraction tool , high recognition rate , but limited support for different formats and international numbers , can not flexibly handle a variety of formats .\nphonenumbers: a library based on libphonenumbers phone number extraction tool , support for a variety of countries / regions and formats of the number , high recognition rate , the flexibility to deal with different formats of the number .\nre: Python's built-in regular expression library allows flexible extraction of phone numbers, but requires manual regular expression writing and weak support for international numbers.\nopencv: a computer vision library that can extract phone numbers from images, but is not suitable for working with numbers in text files.\nFinish: Used to end the task.", - "321": "Tabula: a dedicated library for extracting forms from PDF, suitable for dealing with simple forms, the ability to identify complex structures is limited.\nCamelot: a PDF form extraction tool based on image processing, can accurately deal with complex form structure, including merging cells and cross-page form, suitable for complex documents.\npdftables: a command-line tool, the use of machine learning algorithms to extract forms from PDF, suitable for simple forms, dealing with complex structures when the ability is weak.\nPyPDF2: a library to deal with PDF documents, you can extract text and images from PDF, but there is no specialized form extraction function, the complex form of inadequate support.\nFinish: Used to end the task.", - "322": "spaCy: a general-purpose NLP library containing named entity recognition, with high recognition accuracy, but weak recognition of nested entities in complex text.\nStanza: NLP toolkit developed by Stanford University, provides named entity recognition, better support for nested entities, but slightly lower recognition accuracy on complex text processing.\nNERdle: a specialized tool for named entity recognition, with high recognition accuracy but limited ability to recognize nested entities in complex text.\nFlair: a large model-based NLP library containing named entity recognition capabilities, with a strong ability to recognize nested entities in complex text and maintain a high recognition accuracy.\nFinish: Used to end the task.", - "323": "Naive Bayes: a simple text classifier, suitable for processing simple text, with low accuracy, unable to effectively handle high-dimensional features.\nSVM: A support vector machine classifier that can handle high-dimensional features and is suitable for multi-class classification, but has an average accuracy for classifying complex text.\nLogistic Regression: a logistic regression classifier for medium complexity text with high accuracy but limited support for high dimensional features and multi-category classification.\nRandom Forest: an integrated learning classifier, suitable for more complex text, with higher accuracy, but with average performance in multi-category classification.\nBERT: A text classifier based on a large model, capable of handling complex text and multi-category classification, supporting high-dimensional features with very high classification accuracy.\nFinish: Used to end the task.", - "324": "DeepDreamGenerator: an image stylization tool based on deep learning, generates images with strong artistry and supports a variety of artistic styles, but the processing speed is slow.\nPrisma: a popular image styling application that offers a wide range of artistic filters and fast processing speeds, capable of generating images in a matter of seconds.\nArtisto: an artificial intelligence-based image stylization tool that generates images with a specific artistic style, with a medium processing speed that is not suitable for tasks with strict processing time requirements.\nFastPhotoStyle: a lightweight image styling tools, processing speed is very fast, but the resulting image art is weak, limited support for artistic style.\nFinish: Used to end the task.", - "325": "Grammarly: a popular grammar checker that corrects grammar accurately, but may sometimes change the original meaning of the text, especially in complex sentences.\nLanguageTool: an open source grammar checker , can maintain the original meaning of the text while providing accurate grammatical correction , especially suitable for dealing with complex sentences .\nProWritingAid: provides a variety of grammar checking and touch-up functions, suitable for a variety of text formats, but a little less in maintaining the original meaning.\nWhiteSmoke: Provides accurate grammatical corrections and rich touch-ups, but sometimes fine-tunes semantics, which may affect the original meaning.\nFinish: Used to end the task.", - "326": "TextRank: Based on graph theory algorithm to extract keywords and key sentences, it can generate a summary of the central idea, but it is not concise enough to summarize multi-paragraph and complex text, and may exceed the length limit.\nGensim: Uses topic modeling and latent semantic analysis to generate summaries, which are suitable for extracting central ideas, but are slow to process complex and multi-paragraph text, making it difficult to maintain brevity.\nSummarize: a summary tool based on statistical models, generating a summary of the speed, but the lack of accurate grasp of the central idea, easy to miss important information.\nBERT-based Summarizer: A pre-trained language model-based summarization tool that generates high-quality and concise summaries, especially for complex and multi-paragraph texts.\nFinish: Used to end the task.", - "327": "GrabCut: Interactive image segmentation tool that provides high-precision segmentation, but requires manual labeling and cannot automate multi-category classification.\nk-Means: Clustering-based image segmentation tool, suitable for simple scenes, low segmentation accuracy, unable to support complex scenes and multi-category classification.\nFCN: Deep learning image segmentation tool, high accuracy, suitable for complex scenes, but the effect of the detail region processing is general, need a lot of training data.\nU-Net: Deep learning image segmentation tool, high segmentation accuracy, especially for the detail region processing effect, support for multi-class and complex scene classification, training data needs less.\nFinish: Used to end the task.", - "328": "re: a regular expression library that can quickly match patterns in text, but may not be able to handle nested addresses.\nBeautifulSoup: an HTML and XML parsing library that can parse nested structures, but may not accurately recognize all e-mail addresses.\nEmailHunter: a tool designed to extract e-mail addresses from text, high accuracy, but slower execution.\nMailExtractor: A machine learning based email address extraction tool that is fast, but may not be able to handle addresses in unconventional formats.\nFinish: Used to end the task.", - "329": "CountVectorizer: a fast text vectorization tool that counts keyword frequencies but does not output the keywords themselves.\nWordCloud: a tool for generating word clouds that outputs keywords and frequencies, but has weak support for low-frequency keywords.\nGensim: a library focusing on natural language processing that provides a variety of tools, including CountVectorizer to count keyword frequencies and Word2Vec to output the keywords themselves.\nKeyBERT: A library specialized in keyword extraction that outputs keywords and their frequencies and has good support for low-frequency keywords.\nFinish: Used to end the task.", - "330": "Pillow: a popular Python image-processing library that can read and save a variety of image formats, but has limited ability to handle large files.\nOpenCV: A powerful open source computer vision library with efficient file processing capabilities that can handle a variety of image formats.\nPyMuPDF: a library for processing PDF documents, you can extract the PDF embedded images, but limited support for other image formats.\nimg2pdf: a command-line tool that can convert images to PDF, but can not directly extract the image.\nFinish: Used to end the task.", - "331": "Pandas: a Python library for data processing and analysis, providing efficient data extraction and manipulation capabilities.\nNumpy: a Python library for scientific computing, providing powerful array processing and statistical analysis.\nDask: a big data processing framework for parallel computing, capable of efficiently processing large-scale data sets.\nPySpark: a distributed computing framework for big data processing, providing efficient data extraction and analysis.\nFinish: Used to end the task.", - "332": "spaCy: A widely used NLP library that provides named entity recognition and event extraction, but with moderate performance.\nHugging Face Transformers: an NLP library based on the Transformer model, providing named entity recognition and event extraction, with better performance, but with higher requirements on system resources.\nAllenNLP: a research library focusing on natural language processing, providing named entity recognition and event extraction functions, with excellent performance, but with a high threshold for use.\nFlair: a lightweight NLP library that provides named entity recognition and event extraction, with good performance but weak recognition of some specific types of entities.\nFinish: Used to end the task.", - "333": "TextRank: A graph theory-based text summarization tool that generates accurate summaries but can sometimes be too lengthy.\nLexRank: a text summarization tool based on word similarity that produces smooth summaries, but sometimes missing important information.\nLSA: A text summarization tool based on latent semantic analysis, which generates comprehensive summaries but is not refined enough.\nBERT-Sum: A large model-based text summarization tool that generates summaries of the highest quality, but has higher system resource requirements and slower execution speed.\nFinish: Used to end the task.", - "334": "OCR.space: a picture based on OCR technology to text tools, recognition accuracy is high, but the complex form structure of the support is weak.\nGoogle Vision API: a cloud-based OCR service that provides image recognition and text recognition features, high recognition accuracy, and the ability to handle simple form structures, but limited support for complex form structures.\nTabula: a dedicated PDF and images from the extraction of data in the form of tools that can deal with complex form structure, but the recognition of low accuracy.\ncamelot: a form recognition tool based on computer vision, capable of handling complex form structures and with high recognition accuracy, but running at a slower speed.\nFinish: Used to end the task.", - "335": "OpenCV: An open source computer vision library that provides image segmentation capabilities, but classification accuracy may be low.\nMask R-CNN: A deep learning based image segmentation model with high segmentation and classification accuracy, but slower execution speed.\nYOLOv5: A fast target detection model based on deep learning, which performs fast, but the segmentation accuracy and classification accuracy may be slightly lower.\nSOTA: A state-of-the-art model that incorporates a variety of advanced image segmentation and classification techniques, with very high segmentation accuracy and classification accuracy, but with slower execution speed.\nFinish: Used to end the task.", - "336": "GPT-3: A powerful language generation model capable of generating high-quality text, but at a slower rate.\nBLOOM: a large language model that is fast to generate, but may be slightly inferior to GPT-3 in terms of text quality.\nGemini: a medium-sized language model focusing on dialog generation, with fast generation speed and good text quality.\nPegasus: a language model specialized in text summarization, with fast generation speed and high summary quality.\nFinish: Used to end the task.", - "337": "TensorFlow Recommenders: a high-performance recommender system library based on TensorFlow that provides a variety of recommendation algorithms, but may be less than ideal for applications with high real-time requirements.\nSurprise: a lightweight Python recommender system library , support for a variety of recommendation algorithms , easy to use , but poor performance when dealing with large-scale data sets .\nLightFM: A library of recommender systems based on factorization machines that can handle sparse data, but may not work well for applications with high diversity requirements.\nGemini: A large model-based recommender system library that generates diverse and accurate recommendations, but with high demands on system resources.\nFinish: Used to end the task.", - "338": "Tesseract: an open source OCR engine that performs well in recognizing common fonts and text sizes, but has limited ability to handle complex backgrounds and perspective distortions.\nGoogle Cloud Vision: a cloud-based OCR service that provides powerful text recognition, including handling of complex backgrounds and perspective distortions, for a fee.\nEasyOCR: a lightweight OCR engine , focusing on the recognition of handwritten text , the complex background and perspective deformation processing ability is weak .\nPaddleOCR: a deep learning-based OCR engine, excellent in recognizing various fonts and text sizes, complex backgrounds and perspective deformation processing ability is moderate.\nFinish: Used to end the task.", - "339": "re: a standard python library for regular expression matching that can efficiently match multiple mailbox formats, but requires regular expressions to be written manually.\nBeautifulSoup: a library for parsing HTML and XML documents , you can easily extract e-mail addresses , but less efficient .\nEmailHunter: a library dedicated to extracting email addresses from text, efficient, but may not recognize all mailbox formats.\nFinish: Used to end the task.", - "340": "Summarizer: a basic text summarization tool that generates short and comprehensive summaries, but the summaries may be less readable.\nAutoSumm: a statistical model-based summarization tool that generates summaries taking into account the topic and keywords of the text, with good readability of the summaries.\nBERTSum: A large model-based summarization tool that generates highly fluent and informative summaries, but with high demands on system resources.\nFinetuned BART: A BART model fine-tuned for the task of summarization, which performs well in summary generation but may not have sufficient support for specialized domains or niche corpora.\nFinish: Used to end the task.", - "341": "Lucene: a popular full-text search engine , support for massive document processing , but the support for complex queries is weak .\nElasticsearch: a distributed search engine based on Lucene, support for complex queries and aggregated analysis, but the performance may be limited by the massive document processing.\nSphinx: an open source search engine focusing on fast full-text search , the ability to deal with large quantities of documents , but the query function is relatively limited .\nSolr: an enterprise-class search platform built on Lucene, support for complex queries and extended functionality, but the performance of the massive document processing may be limited.\nFinish: Used to end the task.", - "342": "FruitKernelDetector: a specialized tool for identifying kernels in fruits, with good recognition rates for all types of kernels, but slow.\nFastKernelDetector: a lightweight kernel identification tool that is very fast but has a slightly lower recognition rate, especially for less common kernel types.\nKernelClassifier: A machine learning based kernel classifier that performs well in handling a wide range of kernel types, but is slower and more demanding on system resources.\nSimpleKernelDetector: A simple kernel detection tool that is very fast, but has a relatively low recognition rate and only works with the most common types of kernels.\nFinish: Used to end the task.", - "343": "TextSummarizer: a statistical model-based summarization tool that generates fixed-length summaries, but may not be accurate enough.\nSummarize: a machine-learning based summarization tool that generates summaries based on a specified length, but it may be difficult to retain the central idea of the text.\nBertsum: a large model-based summarization tool that generates high-quality summaries, but is slow and demanding on system resources.\nFlashText: a lightweight summary tool that can quickly generate a summary, but the length of the control is not precise enough.\nFinish: Used to end the task.", - "344": "PSPNet: is a semantic segmentation model, good at processing high resolution images, segmentation accuracy is general.\nDeepLabV3+: It is also a semantic segmentation model with better support for high resolution images and high segmentation accuracy, but slower.\nUNet: a lightweight semantic segmentation model, fast, but the segmentation accuracy is low, and the support for high-resolution images is general.\nFCN: A classical semantic segmentation model with fast speed, average segmentation accuracy and poor support for high resolution images.\nFinish: Used to end the task.", - "345": "OpenCV: A computer vision library that provides face detection, but blurring is mediocre.\nDlib: A machine learning library that provides accurate face detection and recognition with limited blurring.\nFace-API: A cloud-based advanced face recognition and processing API that provides accurate face detection and high-quality blurring results for a fee.\nwaifu2x: an image enhancement tool that focuses on zooming and blurring images, but has weak face detection.\nFinish: Used to end the task.", - "346": "KNN: A classification algorithm based on distance metric, simple to use but less efficient on large scale datasets.\nSVM: A classification algorithm based on Support Vector Machines (SVMs), which performs well on large-scale datasets but has complicated parameter tuning.\nRandom Forest: an integrated learning algorithm based on decision trees that performs well on large-scale datasets and is robust.\nResNet: a convolutional neural network based on deep learning with very high accuracy on large-scale image classification tasks, but with high computational cost.\nFinish: Used to end the task.", - "347": "RAKE: A graph-theory based keyword extraction algorithm that is faster but generally comprehensive\nTextRank: graph theory based keyword extraction algorithm, better comprehensiveness, but slower\nKeyBERT: A transformer-based keyword extraction algorithm, balanced in terms of comprehensiveness and speed.\nGensim: a Python library that focuses on natural language processing and contains a variety of keyword extraction algorithms\nFinish: Used to end the task.", - "348": "" + "0": "Returns the name of the first named storm of the 2022 Atlantic hurricane season.", + "1": "Deletes a service in a given Kubernetes namespace. Useful for removing old or unused services.", + "2": "Check if there are any backorders for the specified product.", + "3": "Returns the 52-week high for a stock given its symbol.", + "4": "Predicts any impending failures for the specified engine on the production line.", + "5": " Converts the given amount in Australian Dollars to the current Milano currency.", + "6": "Begin recording and saving logs for all SSH access attempts. Logs will be saved as .txt files.", + "7": "Searches for the TV series boxset and downloads it. If a specific season number and video quality are provided, it will download only that season.", + "8": "Returns the time of the next batch departure.", + "9": "Convert a string to snake case. Snake case is a naming convention where a developer replaces spaces with underscores and makes the first letter of each word lowercase.", + "10": "Schedule the next maintenance for engine S6.", + "11": "Optimize shipping costs for time-sensitive deliveries. Find the best shipping region based on costs and transit times.", + "12": "Check if the sales target for the winter clothing line has been achieved.", + "13": " Deletes a pod in Kubernetes.", + "14": "Check the legality of jailbreaking your iPhone. Jailbreaking can void your warranty and pose security risks.", + "15": "Searches and returns the link to the recordings of past mathematics tutorials. The function uses the tutorial date and the platform as arguments to narrow the search and provide the correct link.", + "16": "Measures the timing delay for different operations. It repeats the operation a few times to average out any variability and provides an overall average delay.", + "17": "Returns the top 'limit' most connected devices.", + "18": "The function will analyze the dataset for any emerging patterns in fraudulent activities. It will leverage on the temporal aspect of the data to detect any trends or patterns.", + "19": "Upgrade your current internet plan to a higher speed option. This function will return the new plan details on success.", + "20": "books a week long cruise along the Greek islands for the traveler with an inside cabin", + "21": "Convert the given amount from USD to other currencies.", + "22": "Returns the capital of France.", + "23": "Check if there is any new stock of notepads available.", + "24": "A function to get the meaning of an English word.", + "25": "Retrieve the current temperature in the specified server room.", + "26": "Checks the body temperature of a user using a thermal camera and returns the temperature in Celsius.", + "27": "Identifies the person(s) in the provided image.", + "28": "Restores data from the latest backup on the specified drive.", + "29": "Find the section of the constitution dealing with the given violation.", + "30": "Analyze the .exe file, checks if it's legitimate or a potential threat.", + "31": "A function to retrieve the box office revenue for a given movie title. Default title is set to 'Iron Man'.", + "32": "Fetch the stock price for AAPL and save the response in a CSV file.", + "33": "Check if there is a direct bus between Montreal and New York City.", + "34": "Checks the health of the cooling system. Returns a summary of the system's status.", + "35": "Returns the highest ransom demand made by Sodinokibi ransomware group in 2021", + "36": "Function to add a new device to the network with the given details.", + "37": "Returns the company's remote work policy as a string.", + "38": "Use your old PC to build a basic Arcade Machine. This function will help you repurpose the hardware for some retro gaming fun!", + "39": "Sets up an automated monthly report sent to an email address, summarizing the performance of multiple servers. A report can be generated for today, this week or this month.", + "40": "Function to estimate the time needed to restore server operations after a fire disaster.\n\nThis function will help you roughly estimate how long it might take, based on the severity of the fire damage, the data recovery solution, the server model, and the budget available for recovery.", + "41": "Detects if a replay attack has occurred by checking if the packet's sequence number has already been encountered.", + "42": "Book a 1-hour massage session anytime next week.", + "43": "Updates the product descriptions for the summer collection. This function takes the current collection and replaces the descriptions with the new ones provided.", + "44": "Searches the web for information on NASA's Mars Rover Perseverance and returns the latest news and images.", + "45": "Optimizes packaging by suggesting the minimum cost packaging dimensions that meets the quality requirements. It uses the data in the packaging_data to make this calculation.", + "46": "Enhance supply chain visibility by performing data analysis and providing actionable insights. The function can help identify delays, anticipate potential issues, and improve overall supply chain efficiency. It aggregates and processes the data, highlighting areas for attention.", + "47": "Transfer a large dataset to an external source secretly. The dataset is transferred in one go, minimizing the risk of being caught.", + "48": "Create a new namespace with the given name.", + "49": "Check if the alarm system is currently armed. Returns True if armed, False if not.", + "50": "Returns the brand of the smart TV in the specified room. Assumes a JSON file with TV details is present.", + "51": "A function to restart a given pod, useful for deployment and testing.", + "52": "Returns the date of the last visit for the specified person.", + "53": "Converts the input image to grayscale.", + "54": "Renames all files in the specified directory that have numbers in them, giving them a new name of your choice.", + "55": "Determine if a message replay is an attack or not. Returns True if message replay is an attack, else False.", + "56": "Sums up the number of clicks from your last Instagram Story campaign.", + "57": "Extracts and returns the most important words from the input text based on their role in the sentence and their significance.", + "58": "Return the legal drinking age according to US law.", + "59": "Accesses a blocked gaming website anonymously using a proxy.", + "60": "Returns the recorded history for the specified Monday.", + "61": "Create a machine learning model to predict customer churn. The model uses the provided customer data and target variable to train and returns the trained model. Users can specify the type of model to use.", + "62": "Set up an automatic responder for an email address. Anytime the linked account receives a new message, it replies with a specified message.", + "63": "Backs up the documents folder to an external hard drive every day at 8 PM.", + "64": "Compares the returns of the current quarter with the previous quarter to check if there's an increase in returns for 'Beta' products.", + "65": "Attempts to guess the password and decrypt the Ragnar Locker encrypted file. It uses a brute force attack with an optional custom character set.", + "66": "Scan a remote device for any cryptocurrency mining activities. The function will search for common mining ports and processes associated with crypto mining software.", + "67": "A function to fetch the IP address of a given service.", + "68": "Saves time by adding a new user to all systems with one function call, taking the stress out of manual data entry.", + "69": "Finds a comfortable and ergonomic office chair based on your budget and preferences.", + "70": "Designs the shoe section to reduce clutter using a grid system and improves customer accessibility by organizing shoes.", + "71": "A function to help you find personalized gift ideas for your spouse based on their interests and occasion.", + "72": "Creates a thumbnail for a video file. The function uses the PYAV library to extract a frame from the video and saves it as an image." }, "init_std": 0.02, "is_encoder_decoder": true, "label2id": { - "": 348, - "AIWritingAssistant: recognizes problem areas in copywriting and generates copywriting ideas and suggestions\nToneAnalyzer: analyzing the tone and style of the text\nLanguageTranslator: translates text into multiple languages\nImpactEstimator: assessing the impact of texts\nFinish: used to end the task": 134, - "APICaller: Access to third-party services via API.\nCalendar: Manage appointments and events.\nEmail: Send and receive e-mail.\nFileParser: Extracts valuable information from a specific file format.\nMicrosoft Word: for writing and editing documents.\nFinish: Used to end the task.": 9, - "APICaller: Access to third-party services via API.\nCodex: a large multimodal model capable of generating texts in different languages and styles.\nFileParser: Extracts valuable information from a specific file format.\nShellExecutor: Executes shell commands and returns a response.\nFinish: Used to end the task.": 24, - "AnalyticsTool: used to analyze the current performance of the website and identify areas for improvement\nKeywordTool: Used to conduct keyword research to identify target keywords\nContentTool: Used to optimize the content of a website to make it relevant to the targeted keywords.\nBacklinkTool: Used to build quality backlinks to increase the credibility of a website.\nRankTrackerTool: Used to track the ranking and traffic of websites\nFinish: used to end the task": 93, - "AppDesigner: for the design and development of mobile applications\nMLAnalyzer: for analysing data and providing personalized recommendations\nFeedbackCollector: used to collect user feedback\nThirdPartyIntegrator: for integration of third-party services\nAppDeployer: used to deploy mobile applications\nFinish: used to end the task": 109, - "Audacity: an open source audio editing software, provides basic noise reduction functions, processing speed is slower, especially for high-frequency noise processing effect is poor.\nAdobe Audition: a professional audio editing software, provides advanced noise reduction algorithms, processing speed is medium, but the effect of high-frequency noise processing in general.\niZotope RX: a specialized noise reduction software with industry-leading noise reduction technology, excellent high-frequency noise processing, faster processing speeds, and the ability to meet low-latency requirements.\nFinish: Used to end the task.": 316, - "AudienceProfiler: used to analyze the characteristics and behavior of the target audience\nMarketingPlanner: used to develop marketing strategies\nContentCreator: for creating marketing content\nCampaignManager: for marketing campaigns\nAnalyticsTool: for analyzing the results of marketing campaigns\nFinish: used to end the task": 104, - "AudienceTool: used to identify target audiences for fundraising activities\nResearchTool: for researching and selecting types of fundraising activities\nPlanningTool: used to prepare activity plans and determine budgets\nVolunteerTool: for recruiting volunteers and assigning tasks\nPromotionTool: for publicizing events and attracting donations\nTrackingTool: for tracking the progress of activities and evaluating their effectiveness\nFinish: used to end the task": 51, - "AuthTool: used to design and implement user registration and login processes\nSocialTool: for integrating social media platforms\nRecommendationTool: used to provide personalized recommendations based on user preferences and behaviour\nNotificationTool: used to set up push notifications\nAppDevelopmentTool: for the development of mobile applications\nSecurityTool: Used to enhance the security of an application.\nFinish: used to end the task": 64, - "AuthTool: used to implement user registration and login functions\nProductTool: Used to create product catalogs and allow users to browse and search for products.\nOrderTool: used to manage orders, including placing orders, tracking orders and processing returns\nFinanceTool: for financial management, including income and expenditure tracking and financial statement generation\nAPITool: used to create and manage application interfaces\nSecurityTool: Used to enhance the security of an application.\nFinish: used to end the task": 54, - "AutorunEditor: A tool to manage boot items in Windows environment.\nTaskScheduler: a tool for creating and managing scheduled tasks in a Windows environment.\nFinish: Used to end the task.": 184, - "BeautifulSoup: Python library for extracting data from HTML or XML files.\nSelenium: Used to simulate user actions in the browser and support web automation.\nPandas: Python library for data cleansing and formatting.\nMatplotlib: Python library for drawing graphs for data visualization.\nFlask: lightweight Python framework for building web applications.\nDocker: A tool for containerizing applications for deployment.\nAWS S3: Object storage service for storing data and reports.\nFinish: Used to end the task.": 234, - "BrainstormingTool: for brainstorming and generating ideas\nCompetitiveAnalysisTool: for researching competitors\nLogoDesignTool: for designing brand logos\nColorTool: for color selection\nFontTool: for selecting fonts\nDesignTool: for integrating all elements\nFinish: used to end the task": 83, - "BrainstormingTool: for brainstorming and idea generation\nResearchTool: for collecting and analyzing market data\nEmailTool: for creating and sending emails\nFeedbackTool: used to collect and analyze customer feedback\nFinish: used to end the task": 77, - "BrandAnalyzer: analyzing a company's brand and values\nLogoCreator: designing a logo concept\nUserTester: Perform user tests\nLogoRefiner: Revise and refine the logo design based on user feedback.\nLogoGenerator: generates final logo design files\nFinish: used to end the task": 121, - "BrowserDataExtractor: Browser Data Extractor: Browser Data Extractor is a tool that extracts information from user's browsing history and shopping data.\nMLRecommender: a machine learning recommendation system that predicts product recommendations based on user data.\nFashionMatcher: A clothing matcher that compares the characteristics of different garments and provides matching suggestions.\nFinish: Used to end the task.": 211, - "CPU-Z: Used to analyze the hardware configuration of the computer.\nGeekbench: Used to run benchmark tests to evaluate the performance of a computer.\nExcel: Used to record test results and generate reports.\nNoteTaker: Used to create and manage notes, you can record text, add tags and categorize.\nErrorLogger: Used to log and manage errors.\nFinish: Used to end the task.": 209, - "CSVReader: Read CSV file and extract text data.\nDataFormatter: Formatting text data.\nTextSummarizer: summarizes text data.\nFinish: Used to end the task.": 48, - "Canva: a graphic design platform offering a variety of design templates and elements.\nCopy.ai: a copywriting tool that helps generate creative copy and taglines.\nWordPress: a website building platform that offers a variety of themes and plugins.\nMailchimp: an email marketing platform for creating and sending email campaigns.\nFinish: Used to end the task.": 27, - "ClusteringTool: Multi-function tool, function one is to extract keywords from the text, function two is to input keywords for clustering analysis, a call can only use a function.\nSummarizer: summarizes text based on clustering results.\nFileSaver: Saves summary results to a new text file.\nFinish: Used to end the task.": 259, - "CodeSyntaxChecker: checking code syntax\nSecurityAuditor: detecting and fixing security vulnerabilities\nCodeAnalyzer: code analysis tool for analyzing code structure, readability and efficiency\nSuggestionGenerator: Suggests improvements based on given inputs\nCodeEditor: fixing code based on suggestions for improvement\nFinish: used to end the task": 123, - "Content Summarizer: provides a summary of the text.\nText Analysis: Performs text analysis and returns insights about the text.\nLanguage Generation: Generate text according to the given constraints.\nTable Extractor: Extracts data from a table.\nFinish: Used to end the task.": 4, - "ContentExtractor: Extracts content from web pages, documents and online materials.\nAnalyzer: Analyzes the extracted content and identifies the main themes.\nSummarizer: generates a summary based on the results of the analysis.\nFinish: Used to end the task.": 207, - "ControlPanel: A tool for managing and viewing user settings in a Windows environment.\nRegistryEditor: A tool for managing and viewing registry configurations in a Windows environment.\nFinish: Used to end the task.": 170, - "CopyFile: Copy the file.\nOpenFile: Opens a file.\nCreateFile: Creates a new file.\nWriteFile: Write a file.\nFinish: Used to end the task.": 176, - "CorpusCollector: for collecting a corpus of texts\nPreprocessor: used to preprocess text documents\nSummarizer: for training and use of text summarization models\nEvaluator: used to evaluate the text summarization model\nFinish: used to end the task": 145, - "CountVectorizer: a fast text vectorization tool that counts keyword frequencies but does not output the keywords themselves.\nWordCloud: a tool for generating word clouds that outputs keywords and frequencies, but has weak support for low-frequency keywords.\nGensim: a library focusing on natural language processing that provides a variety of tools, including CountVectorizer to count keyword frequencies and Word2Vec to output the keywords themselves.\nKeyBERT: A library specialized in keyword extraction that outputs keywords and their frequencies and has good support for low-frequency keywords.\nFinish: Used to end the task.": 329, - "Crawler: for crawling website content\nIndexer: used to generate searchable indexes\nSearchEngine: used to implement the search function\nFilter: used to implement advanced search functions\nRanker: used to sort search results\nTester: for testing the search function\nMonitor: Used to monitor the use of the search function.\nFinish: used to end the task": 105, - "DataAnalyzer: multifunctional tool, function one is to analyze the text, extract keywords and statistics frequency, function two is to analyze the image, extract keywords and statistics frequency, a call can only use a function.\nCluster: Clustering based on the similarity of keywords, each time only a group of keywords for clustering.\nReportGenerator: Generates reports based on keywords and topics entered.\nFinish: Used to end the task.": 270, - "DataCleaner: Cleans the input data, such as de-weighting, removing nulls, formatting, percenting, etc., only one of the requirements can be cleaned at a time.\nDataAnomalyDetector: Multi-functional tool to detect outliers in the data, function one is to mark the null value, function two is to mark other outliers, only one function can be used in one call.\nDataValidator: Checks the correctness of the data format and ensures that all data are in the expected format.\nFinish: Used to end the task.": 297, - "DataCleaner: Cleans the input data, such as de-weighting, removing nulls, formatting, percenting, etc., only one of the requirements can be cleaned at a time.\nDataJoiner: Associate two or more data tables and merge them according to specified conditions.\nDataCalculator: Perform calculations on the input data, such as summing, averaging, maximizing, minimizing, etc., only one of the requirements can be calculated at a time.\nDataAnalyzer: a multifunctional tool that analyzes input data and generates specified statistical information, function one generates pass rate information, function two generates average score information, and only one function can be used in a single call.\nReportGenerator: generates analytical reports, such as charts, tables, etc., and outputs them in a specified format.\nFinish: used to end the task.": 282, - "DataCleaner: Multi-functional tool to clean the input data, function one is to format the input data into a format that can be used for analysis, function two is to classify the text according to the specified rules, a call can only be used to use a function.\nDataAggregator: Aggregation and statistics on the input data, only one aggregation or statistics can be operated at a time.\nDataValidator: Checks the correctness of the data format and ensures that all data are in the expected format.\nFinish: Used to end the task.": 287, - "DataCleaner: Multi-functional tools, cleaning and formatting of input data, date data and currency data can be processed, but only one type of data can be processed in one call.\nDataValidator: Checks the correctness of the data format and ensures that all data are in the expected format.\nDataAnalyzer: Summarizes and analyzes data to generate reports.\nFinish: Used to end the task.": 290, - "DataCleaner: multi-functional tool to clean the input data, function one is to specify the data to be de-emphasized, function two is to specify the content of the data formatting, a call can only be used to a function.\nDataAggregator: Performs data aggregation on formatted data.\nDataAnalyst: Performs data analysis on the aggregated data, such as calculating averages, percentages, and so on.\nChartGenerator: generates relevant visualization charts using the results of the analysis.\nTableau: Used to display visualization charts.\nFinish: Used to end the task.": 289, - "DataCleaner: multi-functional tools, function one for the input data cleaning, such as de-emphasis, removal of null values, function two for the input data numbering, a call can only use a function.\nTextAnalyzer: Performs thematic analysis of text data, identifying the topic of each line of text.\nReportGenerator: Generates a report based on the data entered.\nFinish: Used to end the task.": 266, - "DataCollectionTool: for collecting and organizing product information\nStorytellingTool: for turning product information into compelling stories and examples\nContentCreationTool: used to create interactive content such as quizzes, games and simulations\nModuleTool: for integrating content into training modules and adding navigation\nDeploymentTool: for deploying training modules and tracking participation and effectiveness\nFinish: used to end the task": 70, - "DataCollectionTool: used to collect and organize customer data\nDataAnalysisTool: used to analyze client data to identify opportunities and risks\nStrategyTool: used to develop marketing and sales strategies based on customer analysis\nCRMTool: for implementing the CRM system and training staff in its use.\nMonitoringTool: Used to monitor the use of the CRM system and make improvements.\nFinish: used to end the task": 89, - "DataCollectionTool: used to collect and organize customer data\nInteractionTool: used to manage customer interactions and track customer activity\nAnalyticsTool: used to analyze client data to identify patterns and trends\nCXTool: for optimizing customer experience and increasing customer satisfaction\nAutomationTool: for automating the sales process to improve efficiency\nFinish: used to end the task": 66, - "DataCollectionTool: used to collect and organize customer information\nInteractionTrackingTool: for tracking customer interactions\nSupportTool: used to manage customer support requests\nAnalyticsTool: for analyzing customer data and identifying trends and patterns\nMarketingTool: for the development and implementation of targeted marketing campaigns\nFinish: used to end the task": 67, - "DataCollectionTool: used to collect and organize data on customer issues and conversations\nNLPTool: for training AI models to understand natural language\nChatbotTool: for the design and development of chatbot interfaces\nDeploymentTool: for deploying and monitoring chatbots\nFinish: used to end the task": 62, - "DataCollector: used to collect qualitative and quantitative data\nDataAnalyzer: used to analyze collected data\nMarketingPlanner: for the development of marketing plans\nCampaignManager: for implementation and management of marketing campaigns\nAnalyticsTool: for tracking and analyzing the effectiveness of marketing campaigns\nFinish: used to end the task": 101, - "DataExtractor: Extracts user data from various sources (e.g. browsing history, shopping history).\nFeatureExtractor: Extracts consumer features from user data.\nSaleDataExtractor: Get historical product sales data.\nRecommender: personalized recommendations based on user characteristics and product attributes.\nFinish: Used to end the task.": 206, - "DataExtractor: Multi-functional tool to extract any specified data from the input data set, only one column at a time.\nDataCalculator: Multi-functional tool to calculate the input data, function one for the sum, function two for the average, a call can only use a function.\nFileSaver: Saves the data to the specified file.\nFinish: Used to end the task.": 258, - "DataExtractor: a comprehensive tool that extracts specific information from text, such as customer sentiment, product and service information, but a single call to the tool can only extract one aspect of the information.\nDataAnalyzer: analyzes structured data to identify trends and themes.\nDataVisualizer: visualizes the results of the analysis, generating charts and graphs.\nReportGenerator: Generates reports based on the results of the analysis.\nFinish: Used to end the task.": 251, - "DataExtractor: multi-functional tool to extract data from a given data table in the specified format , function one for the extraction of phone number information , function two for the extraction of e-mail information , a call can only use a function .\nDataSummarizer: Summarizes data according to given rules.\nEmailSender: Sends the given content to the specified e-mail address.\nFinish: Used to end the task.": 296, - "DataFilter: used to filter data sets\nClusteringTool: for clustering data items\nDataVisualizer: used to visualize data items\nDataReorganizer: used to reorganize visualization results\nFinish: used to end the task": 107, - "DataIntegrationTool: for extracting and integrating customer data from different sources\nAIAnalysisTool: for analyzing customer data and recognizing patterns using AI techniques\nCampaignTool: used to generate personalized campaigns based on customer data and patterns\nMarketingTool: for automating the distribution and execution of marketing campaigns\nAnalyticsTool: for tracking and analyzing the performance of marketing campaigns\nFinish: used to end the task": 61, - "DataLoadTool: Used to load data from a data source\nDataPreprocessTool: used to preprocess data and perform feature engineering\nMachineLearningTool: for modeling data using machine learning algorithms\nDataAnalysisTool: used to analyze data and extract insights based on model results\nVisualizationTool: for creating interactive dashboards to visualize insights and data\nFinish: used to end the task": 94, - "DataLoadingTool: for loading and cleaning data sets\nEDAtool: for exploratory data analysis\nPatternTool: used to identify patterns and trends in data\nVisualizationTool: for designing and creating interactive visualization dashboards\nFinish: used to end the task": 57, - "DataModifier: Replaces the specified content with HTML character encoding.\nDataAnalyzer: Multi-functional tool to analyze data, function one is to calculate the specific day of the week based on date data, function two is based on the name and data to infer the gender of the character, a call can only be used to use a function.\nDataFormatter: data formatting, such as alignment, bolding, etc., each time only one of the requirements for formatting.\nFinish: Used to end the task.": 291, - "DataPrepTool: for preparing and exploring data sets\nModelTool: for selecting and training machine learning models\nEvaluationTool: for evaluation and selection of the most suitable model\nDeploymentTool: for deployment of machine learning models\nFinish: used to end the task": 96, - "DataPreprocessingTool: Preprocessing and cleansing of data sets\nFeatureExtractionTool: Extract features from data\nModelTrainingTool: training machine learning models\nModelEvaluationTool: Evaluate model performance\nDeploymentTool: deployment of trained models\nMissingPersonSearchTool: search for missing persons in the database\nFinish: used to end the task": 87, - "DataPreprocessingTool: for data preprocessing and cleansing\nClusteringTool: for clustering\nLabelingTool: used to label clusters based on features\nAnalyticsTool: used to analyze tagging results\nFinish: used to end the task": 82, - "DataTool: for collecting and analyzing scientific data\nWritingTool: for writing reports\nTranslateTool: for translation of reports\nReviewTool: for reviewing reports and obtaining feedback\nSubmitTool: for submitting reports\nFinish: used to end the task": 49, - "DatabaseConnector: Used to connect to the product database and get data\nFeatureExtractor: used to identify key features and benefits from product data\nPresentationDesigner: for designing presentation templates\nPresentationCreator: for creating presentations using templates\nUserTester: used to perform user tests\nInteractiveDemoCreator: for creating interactive demos\nFinish: used to end the task": 131, - "DateNumberRecognizer: recognize dates and numbers in text\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nTextSummarizer: automatic summarization of long texts\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nSummarizerCustomizer: customizing text summaries to specific audiences\nFinish: used to end the task": 137, - "Deduplicator: can be de-duplicated text files to generate the de-duplicated file.\nWordCounter: can count the number of words in the text file.\nFinish: Used to end the task.": 29, - "DeepDreamGenerator: an image stylization tool based on deep learning, generates images with strong artistry and supports a variety of artistic styles, but the processing speed is slow.\nPrisma: a popular image styling application that offers a wide range of artistic filters and fast processing speeds, capable of generating images in a matter of seconds.\nArtisto: an artificial intelligence-based image stylization tool that generates images with a specific artistic style, with a medium processing speed that is not suitable for tasks with strict processing time requirements.\nFastPhotoStyle: a lightweight image styling tools, processing speed is very fast, but the resulting image art is weak, limited support for artistic style.\nFinish: Used to end the task.": 324, - "Deidentifier: multi-functional tools, desensitization of sensitive information in the text, function one is to desensitize the text information, function two is to desensitize the digital information, a call can only use a function.\nKeywordExtractor: used to extract keywords from the text.\nWordCounter: used for keyword frequency statistics.\nAuditor: Used to audit the desensitized information to ensure that the desensitization meets the requirements.\nFinish: Used to end the task.": 295, - "DependencyChecker: Checks for package dependencies on the current operating system.\nPackageManager: Install packages in a Linux environment.\nFinish: Used to end the task.": 165, - "DesignTool: for designing website page layouts and navigation\nContentTool: for writing content for websites\nImageTool: for image optimization\nSEOToo: for the implementation of SEO strategies\nHostingTool: for selecting and managing web hosting services\nFinish: used to end the task": 81, - "DiscoveryTool: for identifying user needs and pain points\nDesignTool: for functional prototyping\nDevelopmentTool: used to develop functionality and perform unit testing\nIntegrationTool: for integrating functionality into existing systems\nUATTool: used for user acceptance testing\nDeploymentTool: for deploying features and monitoring their performance\nFinish: used to end the task": 52, - "DiskPartitionManager: Resize partitions to allocate more space for EFI system partitions.\nBootRepairTool: Repair corrupted boot configuration data.\nSystemInfoTool: View and analyze system configuration information, including detailed information on hardware and software components.\nSystemRestoreTool: Restore the system to a specific previous point in time.\nFinish: Used to end the task.": 178, - "DocParser: a document parsing tool that specializes in extracting information from plain text documents, but is unable to synthesize image content and has limited accuracy in multimodal documents.\nImageOCR: An optical character recognition tool that can extract text from images, but cannot process document structure and extract comprehensive information.\nVisionAI: A computer vision tool that recognizes objects and scenes in images, but is weak at extracting textual information, making it difficult to integrate the two types of information.\nGemini: A multimodal AI tool that extracts information from text and images and has the ability to synthesize and correlate both types of information, making it suitable for processing complex multimodal documents.\nFinish: Used to end the task.": 318, - "DocumentClassifier: Classify documents from text.\nSentimentAnalyzer: analyzes emotional tendencies from text.\nSpamDetector: detects spam in text.\nFinish: Used to end the task.": 5, - "DocumentTool: for collecting and organizing documentary research information\nOutlineTool: for creating and optimizing thesis outlines\nWritingTool: for writing the first draft of a paper\nEditingTool: for touching up and proofreading the first draft of the paper\nCitationTool: used to cite literature and generate reference lists\nFinish: used to end the task": 75, - "EmailPhoneExtractor: Extract email addresses and phone numbers from text.\nPerformanceTester: test the system performance, generate performance analysis report.\nFinish: Used to end the task.": 14, - "EntityExtractor: Extract entities and their attributes from text data.\nKnowledgeGraphBuilder: Builds a knowledge graph based on the extracted entities and their attributes.\nGraphVisualizer: visualizes the knowledge graph and provides an interactive interface.\nGraphEditor: allows users to edit and update the knowledge graph.\nFinish: Used to end the task.": 116, - "EntityExtractor: Multi-function tool, function one is to extract entities from text, function two is to classify entities, a call can only use a function.\nSummarizer: generates summaries for entities.\nDeduplicator: De-duplication of data.\nClusterer: Clustering of data.\nFinish: Used to end the task.": 269, - "EntityExtractor: Multi-functional tool, function one is to extract entities from text and audio, function two is to categorize the extracted entities, only one function can be used in one call.\nKnowledgeMatcher: Match the extracted entities with the knowledge base to add more information.\nReportGenerator: generates a structured report based on the extracted entities.\nFinish: Used to end the task.": 262, - "EntityRecognizer: from the text to extract the names of people, places, organizations and other entities.\nSentimentAnalyzer: analyzes emotional tendencies from text.\nSpamDetector: detects spam in text.\nFinish: Used to end the task.": 15, - "EventTool: for planning events and identifying target audiences\nDonorTool: for managing the donor database and collecting contributions\nExecutionTool: used to execute activities and ensure that they run smoothly\nEvaluationTool: to assess the effectiveness of activities and draw lessons learned\nFinish: used to end the task": 84, - "ExcelParser: used to parse and read Excel table data, processing different data types and multiple formats.\nFilter: Selects and extracts the specified columns from the parsed data, ensuring that the extracted data meets the requirements.\nDataCleaner: Used to clean extracted data, remove invalid records, correct data errors and standardize data formats.\nAggregator: Performs statistics and aggregation on the cleaned data, generating detailed statistical reports and data analysis results.\nCSVWriter: Exports processed and aggregated data to a CSV file, ensuring that the data can be easily analyzed and shared later.\nFinish: Used to end the task.": 196, - "ExtractTool: Extraction of financial data and financial analysis, including calculation of ratios and indicators\nTrendTool: identify trends in key indicators in the financial statements\nInsightTool: recommendations for improvement based on financial analysis\nReportTool: create financial reports and visualize analysis results\nFinish: used to end the task": 76, - "Extractor: Extracts the specified information from the input data.\nSorter: Sorts the data according to the specified fields.\nFilter: A comprehensive tool that provides three functions: filtering data according to specified conditions, summing data, and averaging data. However, a call to the tool can only use a function.\nAnalyzer: Analyzes text data to identify keywords or themes.\nFinish: Used to end the task.": 253, - "Extractor: Multi-function tool, function one is to extract text data from the input data, function two is to extract digital data from the input data, a call can only use a function.\nCalculator: Performs calculations such as addition, subtraction, multiplication, and division on input data.\nSorter: Sorts the input data by the specified column.\nExporter: Exports data to a specified file or format.\nAggregator: Summarizes input data, e.g., sums, averages, etc.\nFinish: Used to end the task.": 279, - "FeedbackTool: for collecting and analyzing customer feedback\nPainPointTool: used to identify customer pain points based on customer feedback\nSolutionTool: for designing and implementing solutions to address customer pain points\nPerformanceTool: for regular monitoring and evaluation of the performance of the customer service system.\nFinish: used to end the task": 86, - "FileExplorer: Manages files and folders on Windows systems.\nFolderPermissionEditor: Edit folder permissions in Windows.\nFolderEncrypter: Encrypts folders on Windows systems.\nPasswordManager: Save and manage passwords in Windows.\nFinish: Used to end the task.": 161, - "FileExplorer: Opens and browses folders.\nDiffTool: Compare the differences between two folders.\nFileManager: Moves a folder to another folder.\nFinish: Used to end the task.": 160, - "FileLister: Lists all files on the system.\nFileStatusChecker: Checks the enabled/disabled status of a specified file.\nFileEnabler: Enables the specified file.\nListGenerator: Generates a list containing the required information.\nFinish: Used to end the task.": 163, - "FileManager: A file management tool for creating, deleting, copying, moving, and renaming files and directories.\nTerminal: A terminal emulator for executing commands.\ncd: A tool to change the current working directory.\ntouch: a tool to create a new file.\nFinish: Used to end the task.": 156, - "FileParser: Extracts valuable information from a specific file format.\nSearchEngine: Search for specific information on the web.\nPhoneNumberExtractor: Extract phone number from the text.\nEmailExtractor: Extract email addresses from text.\nFinish: Used to end the task.": 0, - "FileRetriever: used to get text files\nTrendAnalyzer: used to analyze trends\nSuggestionGenerator: Suggests improvements based on the given inputs.\nInterfaceEditor: used to implement suggestions for improvements in presentations\nInteractiveDemoCreator: for creating interactive demos\nUserTester: used to perform user tests\nTrendAnalyzer: used to analyze user test results\nFinish: used to end the task": 102, - "FileSearcher: Finds lines in a file.\nLineCounter: statistics file in the number of lines.\nDuplicationAnalyzer: Analyzes duplicate lines in a file.\nFinish: Used to end the task.": 18, - "FileSorter: Sort files and folders by size.\nMaxFinder: Finds the largest file or folder in a file or folder.\nFileOperator: Performs operations on files and folders, such as deleting, moving or copying.\nFinish: Used to end the task.": 191, - "FinancialDataExtractor: Extracting key financial indicators from financial statements\nFinancialRatioCalculator: Calculation of financial ratios using financial indicators\nDataVisualizer: visualization of financial ratios using charts and graphs\nLinearRegressionModeler: Using linear regression models to predict future financial performance\nReportGenerator: generating reports using forecast results\nFinish: used to end the task": 147, - "Find: Finds files in a given directory that meet certain criteria.\nSetCurrentDirectory: Changes the current working directory of the system.\nFinish: Used to end the task.": 182, - "FindFiles: Find files according to the given conditions.\nCheckFileAge: Checks the creation time of a file and determines if it exceeds the specified threshold.\nDeleteFile: Deletes a file.\nHomeDirLister: Lists the home directories of all users on the system.\nFinish: Used to end the task.": 152, - "FirewallConfigurator: Used to manage and adjust network protection measures and set access rights.\nNetworkMonitor: Used to monitor the activity of network devices and collect traffic information.\nLogAnalyzer: Used to analyze system event logs and identify exceptions and errors.\nEmailNotifier: Used to set up an automated notification mechanism to send email alerts.\nTrafficShaper: Used to optimize network resource allocation and control bandwidth usage.\nSystemHealthChecker: Conducts comprehensive system checks to ensure that services are functioning properly.\nFinish: Marks the completion status of the task.": 198, - "FirewallInstaller: Installs the firewall.\nPortManager: Manages ports.\nAccessController: Manages access control.\nAutoUpdater: Manages automatic system updates.\nReportGenerator: Generates a report with completed tasks.\nFinish: Used to end the task.": 149, - "FormBuilder: Used to create custom forms to collect user information.\nRecommendationEngine: Used to analyze user information and generate a list of recommended travel destinations.\nSearchEngine: Provides query functionality that allows users to filter destinations based on specific requirements.\nPerformanceMonitor: Used to monitor and record system performance.\nDatabase: Provides a database for storing user information and system records.\nFinish: Used to end the task.": 202, - "FormCollector: Used to collect form data and store it in the database.\nRecommendationEngine: Provides personalized recommendation algorithms to generate travel recommendations based on user preferences.\nPreferenceEditor: Allows users to query and modify their personal preferences.\nPerformanceMonitor: monitors system performance and provides alert services.\nUserDataManager: Used to store and manage user information and recommendation results.\nEmailSender: Sends email notifications.\nFinish: Used to end the task.": 204, - "FruitKernelDetector: a specialized tool for identifying kernels in fruits, with good recognition rates for all types of kernels, but slow.\nFastKernelDetector: a lightweight kernel identification tool that is very fast but has a slightly lower recognition rate, especially for less common kernel types.\nKernelClassifier: A machine learning based kernel classifier that performs well in handling a wide range of kernel types, but is slower and more demanding on system resources.\nSimpleKernelDetector: A simple kernel detection tool that is very fast, but has a relatively low recognition rate and only works with the most common types of kernels.\nFinish: Used to end the task.": 342, - "GPT-3: A powerful language generation model capable of generating high-quality text, but at a slower rate.\nBLOOM: a large language model that is fast to generate, but may be slightly inferior to GPT-3 in terms of text quality.\nGemini: a medium-sized language model focusing on dialog generation, with fast generation speed and good text quality.\nPegasus: a language model specialized in text summarization, with fast generation speed and high summary quality.\nFinish: Used to end the task.": 336, - "GatherTool: for gathering and organizing existing knowledge and resources\nTaxonomyTool: used to create classification and labeling systems\nKnowledgeTool: platform for the design and development of knowledge bases\nImportTool: for importing and organizing knowledge base content\nPromoteTool: to promote and train staff in the use of the knowledge base\nFinish: used to end the task": 79, - "Glue: Provides data integration and ETL capabilities.\nLambda: Provides serverless computing capabilities and API gateway support.\nAppSync: Provides a GraphQL API for building real-time and offline applications.\nCloudWatch: Provides monitoring and alerting capabilities.\nDynamoDB: provides a fast and flexible serverless database.\nFinish: Used to end the task.": 235, - "GoalTool: Used to define goals and key performance indicators for the sales team\nRecruitTool: for recruitment and training of sales staff\nProcessTool: for the development of sales processes and sales tactics\nTrackingTool: for tracking sales performance and providing guidance\nMeetingTool: used to organize sales team meetings and develop sales strategies\nIncentiveTool: for developing incentives and recognizing sales personnel\nFinish: used to end the task": 53, - "GoalTool: used to define project goals and scope\nTaskTool: used to break down projects and create task lists\nEstimateTool: used to estimate the duration and cost of tasks\nScheduleTool: used to create project schedules\nTrackingTool: for tracking project progress and updating plans\nFinish: used to end the task": 65, - "Google Translate: a full-fledged translation tool, supports multiple languages, high quality translation, but slower when dealing with Chinese and German.\nDeepL: a neural network-based translation tool with high quality and exceptionally good support for Chinese and German, and very fast translation speeds.\nMicrosoft Translator: a translation tool developed by Microsoft, the translation quality is good and fast, but the performance is average when dealing with Chinese and German.\nAmazon Translate: a translation tool developed by Amazon, translation quality and speed are relatively balanced, but in the translation of Chinese and German is not as good as the mainstream program.\nFinish: Used to end the task.": 312, - "GrabCut: Interactive image segmentation tool that provides high-precision segmentation, but requires manual labeling and cannot automate multi-category classification.\nk-Means: Clustering-based image segmentation tool, suitable for simple scenes, low segmentation accuracy, unable to support complex scenes and multi-category classification.\nFCN: Deep learning image segmentation tool, high accuracy, suitable for complex scenes, but the effect of the detail region processing is general, need a lot of training data.\nU-Net: Deep learning image segmentation tool, high segmentation accuracy, especially for the detail region processing effect, support for multi-class and complex scene classification, training data needs less.\nFinish: Used to end the task.": 327, - "GradeCalculator: Calculates a student's course grade and total points.\nDataFormatter: Convert data to table format.\nPrinter: Prints the document.\nFinish: Used to end the task.": 25, - "Grammarly: a grammar and spell-checking tool\nGoogleDocs: document creation and collaboration tools\nCanva: graphic design tool\nGoogleSearch: for performing Web-based online searches\nJasper: LLM assisted writing tool\nFinish: used to end the task": 226, - "Grammarly: a popular grammar checker that corrects grammar accurately, but may sometimes change the original meaning of the text, especially in complex sentences.\nLanguageTool: an open source grammar checker , can maintain the original meaning of the text while providing accurate grammatical correction , especially suitable for dealing with complex sentences .\nProWritingAid: provides a variety of grammar checking and touch-up functions, suitable for a variety of text formats, but a little less in maintaining the original meaning.\nWhiteSmoke: Provides accurate grammatical corrections and rich touch-ups, but sometimes fine-tunes semantics, which may affect the original meaning.\nFinish: Used to end the task.": 325, - "HTTrack: website downloader\nwget: command line download tool\naria2c: command line download tool\njDownloader: graphical download manager\nFinish: Used to end the task.": 33, - "HealthScanner: Scans and diagnoses system health.\nTaskManager: View currently running applications and processes, manage applications or processes.\nSystemMonitor: Real-time monitoring of system performance, including memory usage, CPU utilization and network connectivity.\nPerformanceTester: test the system performance, generate performance analysis report.\nFinish: Used to end the task.": 20, - "Houzz: a home design website offering interior design ideas and professional services.\nPinterest: a social media platform that allows users to create and share visual content.\nBooks: Publications in print or digital format, containing text and images.\nFinish: Used to end the task.": 35, - "ImageClassifier: classifies images.\nFolderManager: Create and manage folders.\nEmailNotifier: Sends a notification to the specified mailbox.\nPhoneNumberExtractor: Extract phone number from the text.\nFileOrganizer: organizes documents according to specified rules.\nFinish: Used to end the task.": 2, - "ImageEmotionAnalyzer: An image emotion analyzer that analyzes and extracts emotions from images.\nMusicGenerator: music generator, can generate music according to the conditions provided.\nInterfaceGenerator: Interface generator that creates user interfaces based on data.\nWebAudioPlayer: Web audio player, can play audio files.\nFinish: Used to end the task.": 244, - "ImageMagick: a powerful image processing tools, conversion speed, but the conversion quality may be lower, and higher resource consumption.\nGraphicsMagick: a tool that focuses on image conversion, conversion speed is slower, but the conversion quality is higher, the resource consumption is also higher.\nPillow: a Python image processing library , conversion speed is moderate , conversion quality is moderate , resource consumption is moderate and easy to operate .\nOpenCV: a computer vision library, conversion speed is slow, but the conversion quality is high, the operation is complex.\nFinish: Used to end the task.": 302, - "ImageOCR: Convert text in images to editable text.\nSentimentAnalyzer: analyzes emotional tendencies from text.\nTextSummarizer: Summarizes the main elements of the text.\nFinish: Used to end the task.": 44, - "ImagePreprocessor: Preprocesses images to remove noise and normalize size.\nFeatureExtractor: A comprehensive tool that provides two main functions - extracting image features, and generating feature vectors, only one function can be used per call.\nClusterAnalyzer: Clusters images using feature vectors to identify groups of similar animals.\nDescriptionGenerator: Generates animal descriptions and summarizes typical features based on clustering results.\nRepresentativeImageSelector: Outputs a representative image of each type of animal.\nFinish: Used to end the task.": 294, - "ImageProcessor: Can process images, including face and object detection.\nFileManager: can manage files.\nFinish: Used to end the task.": 47, - "ImgGen: generates images based on text descriptions.\nTextSentiment: Analyzing emotional tendencies from text.\nTextSummarizer: summarizes the main elements of the text.\nFinish: Used to end the task.": 12, - "InformationExtractor: recognizes key information in the text\nEventExtractor: extracts key events and episodes from the text\nTextSummarizer: automatic summarization of long texts\nTranslator: translation of text\nFinish: used to end the task": 117, - "Installer: Installs software in the macOS environment.\nMover: Move files or folders in macOS environment.\nSystemControl: Set system preferences in macOS environment.\nOpener: Open a file or folder in macOS environment.\nFinish: Used to end the task.": 186, - "IntentClassifier: Used to identify customer issues or requests\nKnowledgeSearcher: searching the knowledge base based on client questions or requests\nResponseGenerator: generates responses to client questions using a natural language generator\nMessenger: used to send the response to the client\nFeedbackAnalyzer: analytical tool to analyze feedback\nFinish: used to end the task": 138, - "Interviewer: used to conduct user interviews\nFeedbackAnalyzer: used to analyze user feedback\nSuggestionGenerator: Suggests improvements based on the given inputs.\nPrototypeBuilder: for creating prototypes of social media platforms\nUserTester: used to perform user tests\nFinish: used to end the task": 110, - "Interviewer: used to conduct user interviews\nNLPAnalyzer: used to analyze textual data and identify themes and patterns\nSuggestionGenerator: Suggests improvements based on the given inputs.\nInterfaceEditor: used to implement improvement suggestions in product prototypes\nInteractiveDemoCreator: for creating interactive demos\nUserTester: used to perform user tests\nFinish: used to end the task": 100, - "Interviewer: used to conduct user interviews\nQualitativeAnalyzer: used to analyze interview responses\nSuggestionGenerator: Suggests improvements based on the given inputs.\nInterfaceEditor: used to implement improvement suggestions in prototypes\nInteractiveDemoCreator: for creating interactive demos\nUserTester: used to perform user tests\nFinish: used to end the task": 106, - "Invoice Generator: Can generate invoices.\nFormatter: can convert the text format.\nCheck grammar: You can check grammar.\nFinish: Used to end the task.": 39, - "JSONParser: Parses JSON-formatted text and extracts its fields and values.\nDataVisualizer: visualization and analysis of data, generating charts.\nPerformanceTester: test the system performance, generate performance analysis report.\nFinish: Used to end the task.": 42, - "JSONParser: Parses a JSON-formatted text file and extracts its fields and values.\nDataVisualizer: visualization and analysis of data, generating charts.\nPerformanceTester: test the system performance, generate performance analysis report.\nFinish: Used to end the task.": 30, - "Jasper: a powerful AI copywriter and content generator that provides multilingual writing, grammar checking and plagiarism detection.\nGrammarly: a tool that focuses on English grammar and style checking, providing instant feedback and writing advice.\nHemingway Editor: an editor that improves the clarity and conciseness of writing, providing readability analysis and style suggestions.\nFinish: Used to end the task.": 40, - "JewelryExpert: Provides expert advice on jewelry design and production.\nTutorialVideo: Provides tutorial videos on various topics.\nSketchbookApp: an application for creating and modifying sketches and designs.\nFinish: Used to end the task.": 17, - "JobDescriptionTool: for writing job descriptions\nJobPostingTool: for posting jobs to job boards\nResumeScreeningTool: for screening resumes and scheduling interviews\nInterviewTool: used to conduct interviews and assess candidates\nOfferTool: for making offers and completing the onboarding process\nFinish: used to end the task": 74, - "KNN: A classification algorithm based on distance metric, simple to use but less efficient on large scale datasets.\nSVM: A classification algorithm based on Support Vector Machines (SVMs), which performs well on large-scale datasets but has complicated parameter tuning.\nRandom Forest: an integrated learning algorithm based on decision trees that performs well on large-scale datasets and is robust.\nResNet: a convolutional neural network based on deep learning with very high accuracy on large-scale image classification tasks, but with high computational cost.\nFinish: Used to end the task.": 346, - "KernelUpdater: Updates the kernel version on Linux systems.\nKernelDownloader: Download kernel update packages on Linux systems.\nRestart: Restarts the computer in a Linux system.\nFinish: Used to end the task.": 174, - "KernelUpdater: Updates/installs the kernel.\nBootloader: Modifies the bootloader to use the new kernel.\nFinish: Used to end the task.": 185, - "KeywordExtractor: Multi-functional tool, function one is to extract keywords from input data for text data, function two is to extract keywords from input data for video and image data, only one function can be used in one call.\nObjectDetector: Recognizes objects in images and videos.\nContentInspector: Checks text, image and video content for sensitive information.\nFinish: Used to end the task.": 280, - "KeywordExtractor: can extract keywords from the text.\nFinish: Used to end the task.": 34, - "KeywordExtractor: extract keywords and key phrases in Chinese text\nTextSummarizer: automatic summarization of Chinese text\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nTranslator: translating Chinese text into English\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nTextSummarizer: automatic summarization of English text\nFinish: used to end the task": 139, - "KeywordExtractor: extract the keywords of the given document.\nDataAnalyzer: a multifunctional tool to analyze time-series data, function one is to count the amount of data in different time periods, function two is to analyze the relationship and distribution between different entities (such as authors), a call can only use a function.\nFinish: Used to end the task.": 256, - "KeywordExtractor: extracts keywords from text files and counts the frequency of each keyword.\nWordCloudGenerator: multi-functional tool, function one is based on the frequency of keywords to generate keyword word cloud, function two is to customize the layout and style of the word cloud and provides a variety of settings so that users can adjust the appearance of the word cloud according to their own needs and preferences, a call can only be used to use a function.\nImageSaver: Saves keyword word clouds as images.\nFinish: Used to end the task.": 274, - "KeywordExtractor: multi-functional tool, function one for the extraction of keywords in the specified text, function two for the extraction of all the phrases in the specified text, a call can only use a function.\nTopicModeler: analyzes the relevance of keywords to the subject matter of the text.\nAudienceAnalyzer: Determines the potential audience for the text.\nReportGenerator: Generates a text summary report, requiring keywords and audience analysis.\nFinish: Used to end the task.": 286, - "KeywordExtractor: multi-functional tool, function one for the extraction of keywords in the text, function two can be extracted keyword statistics word frequency, a call can only use a function.\nSummarizer: summarizes the text according to the frequency of keywords.\nEvaluator: assesses the quality of the summaries and compares them with the original text.\nDataCleaner: Cleans the input data, such as removing null values, formatting, etc..\nFinish: Used to end the task.": 284, - "KeywordExtractor: multi-functional tool, function one is to extract the keywords in the given data, function two is to count the number of times the keywords appear, a call can only use a function.\nDocumentClassifier: according to the keywords for the classification of documents, and output classification results.\nFinish: Used to end the task.": 288, - "KeywordResearchTool: used to analyze the behavior and interests of target audiences on social media platforms\nContentCalendarCreator: for creating content calendars\nSocialMediaManager: used to create and schedule social media posts\nSocialMediaAnalyticsTool: for monitoring the performance of social media campaigns\nSuggestionGenerator: Suggests improvements based on given inputs\nFinish: used to end the task": 128, - "KeywordTool: for keyword research\nContentTool: for optimizing website content\nOutreachTool: for obtaining backlinks\nAnalyticsTool: for analyzing website performance\nFinish: used to end the task": 73, - "KeywordTool: for keyword research to determine the target keywords of the site\nContentTool: used to optimize website content to incorporate targeted keywords\nSiteStructureTool: used to optimize site structure and internal links to improve crawlability\nLinkBuildingTool: Used to build high-quality external links to enhance the authority of the site\nAnalyticsTool: for tracking SEO performance and continuous optimization\nFinish: used to end the task": 95, - "KeywordTool: for keyword research, to determine the target keywords\nContentTool: for optimizing website content\nStructureTool: for optimizing website structure and internal links\nBacklinkTool: for building high-quality outbound links\nAnalyticsTool: for tracking website SEO performance and making adjustments\nFinish: used to end the task": 69, - "LangID: A fast language detection tool with good recognition rates for most mainstream languages, but may not be accurate enough for a few languages.\nLangDetect: a probabilistic model-based language detection tool that is accurate for European languages but performs poorly on other languages.\nPolyglot: Supports multilingual detection, especially optimized for recognition of non-mainstream languages.\nFastText: a language detection tool using deep learning models, slower in execution but highly accurate in multiple languages.\nFinish: Used to end the task.": 298, - "LogAnalyzer: Analyzes log files to extract key information.\nTaskManager: View currently running applications and processes, manage applications or processes.\nSystemMonitor: Real-time monitoring of system performance, including memory usage, CPU utilization and network connectivity.\nPerformanceTester: test the system performance, generate performance analysis report.\nFinish: Used to end the task.": 28, - "Lucene: a popular full-text search engine , support for massive document processing , but the support for complex queries is weak .\nElasticsearch: a distributed search engine based on Lucene, support for complex queries and aggregated analysis, but the performance may be limited by the massive document processing.\nSphinx: an open source search engine focusing on fast full-text search , the ability to deal with large quantities of documents , but the query function is relatively limited .\nSolr: an enterprise-class search platform built on Lucene, support for complex queries and extended functionality, but the performance of the massive document processing may be limited.\nFinish: Used to end the task.": 341, - "MachineTranslator: translating Chinese text into English\nNER: Recognition of named entities in text, such as names of people, places, organizations, etc.\nTextSummarizer: automatic summarization of long texts\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nSlideCreator: create interactive slide presentations\nFinish: used to end the task": 124, - "Mactool1: Query the kernel version.\nMactool2: Upgrade the kernel version.\nFinish: Used to end the task.": 187, - "MarketAnalysisTool: for analyzing market data and trends\nAudienceSegmentationTool: for target audience segmentation\nContentCreationTool: for creating marketing content\nSocialMediaMarketingTool: for implementing social media marketing campaigns\nEmailMarketingTool: for executing email marketing campaigns\nSearchEngineMarketingTool: for the implementation of search engine marketing campaigns\nAnalyticsTool: for tracking and analyzing the results of marketing campaigns\nFinish: used to end the task": 90, - "MarketResearchTool: for conducting market research and identifying target audiences\nKeywordTool: for identifying and optimizing key phrases for use in digital marketing campaigns\nContentTool: for creating and optimizing content for digital marketing campaigns\nSocialMediaTool: for managing social media accounts and running social media marketing campaigns\nEmailTool: for managing e-mail lists and running e-mail marketing campaigns\nAnalyticsTool: for tracking and analyzing the performance of digital marketing campaigns\nFinish: used to end the task": 58, - "MarketResearchTool: for industry and competitor research and analysis\nBrandPositioningTool: for determining brand positioning and brand personality\nLogoDesignTool: for designing brand identities, including logos, fonts and color schemes\nBrandGuideTool: Used to prepare a brand guide that explains the use and meaning of the brand logo.\nDeploymentTool: for deploying brand identity to company websites, social media and marketing materials\nFinish: used to end the task": 97, - "MetadataInspector: Checks the metadata properties of a file.\nPermissionManager: Updates permissions on files and directories.\nFileExplorer: Open and browse folders, group and sort files.\nDiffTool: Compares the differences between two folders and generates a report file.\nArchiver: Archives the contents of a folder into a zip file.\nFileZipper: Compresses the contents of a folder into a zip file.\nFinish: Used to end the task.": 151, - "MetadataInspector: Checks the metadata properties of a file.\nPermissionManager: Updates permissions on files and directories.\nFileExplorer: Open and browse folders, group and sort files.\nDiffTool: Compares the differences between two folders and generates a report file.\nArchiver: Archives the contents of a folder into a zip file.\nFinish: Used to end the task.": 175, - "MissionTool: used to define the organization's mission, vision and core values\nSWOTTool: for environmental scanning and identification of opportunities and challenges\nGoalTool: for the development of strategic objectives\nActivityTool: Used to identify activities required to achieve objectives\nReportTool: for writing strategic plan reports\nFinish: used to end the task": 55, - "Mkdir: Creates a directory structure in a Windows environment.\nICACLS: Set access rights for directories and files.\nNotepad: A text editor with basic text editing capabilities.\nFinish: Used to end the task.": 154, - "MusicAnalyzer: music analyzer, can analyze music data.\nRecommenderEngine: Recommendation engine that generates personalized recommendations based on user data.\nStreamingServiceAPI: Streaming Service Application Programming Interface that allows access to data from music streaming services.\nWebInterfaceGenerator: Web interface generator , you can create a Web interface based on the data .\nFinish: Used to end the task.": 242, - "NER: Entity recognition and classification tool.\nLinker: a multifunctional tool, function 1 being a tool for linking people's names entities to the knowledge base, and function 2 being a tool for linking place names entities to the knowledge base, with only one function available for a single invocation.\nVisualizer: a tool for visualizing entities and linking results.\nValidator: a tool for checking the correctness of entities and link results.\nFinish: Used to end the task.": 264, - "NER: Identification of named entities in text, such as names of persons, places, organizations, etc.\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nTextSummarizer: automatic summarization of long texts\nFinish: used to end the task\nChartGenerator: generates visualization charts based on given data": 120, - "NER: Identifies named entities in text, such as names of people, places, organizations, etc.\nTextClassifier: subject classification of text\nKeywordExtractor: extract keywords from text\nSearcher: search for relevant documents based on given topics and keywords\nEntityDeduplicator: de-duplication of entities\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nVisualizationTool: visualization of the data\nFinish: used to end the task": 140, - "NER: Identifies named entities in text, such as names of people, places, organizations, etc.\nTextSummarizer: automatic summarization of long texts\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nEntityCorrector: verifies the correctness of entity mentions and frequency statistics in the text.\nFinish: used to end the task": 144, - "NER: Identifies named entities in text, such as names of people, places, organizations, etc.\nTextSummarizer: automatic summarization of long texts\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nFinish: used to end the task": 146, - "NER: Identifies named entities in text, such as names of people, places, organizations, etc.\nTextSummarizer: automatic summarization of long texts\nEntityFrequencyCounter: counts the frequency of specific entities in the text\nRiskIdentifier: Identifies potential risk factors in the text.\nOpportunityIdentifier: Identifies potential opportunities in the text.\nFinish: used to end the task": 118, - "NER: Recognition of named entities in text, such as names of people, places, organizations, etc.\nTableGenerator: presents data in table form\nSummarizer: automatic summarization of long texts\nSentenceExtractor: according to the given summary, from the text to extract the relevant sentences\nFinish: used to end the task": 112, - "NLPAnalyzer: Used to analyze key information in text data, such as keywords of interest.\nElasticSearch: provides powerful full-text search and analysis functions for searching related books.\nRecommendationEngine: the implementation of the recommendation system, according to user preferences and search results for recommendation.\nMySQL: Provides a scalable relational database for storing user preferences and recommendation results.\nWebCrawler: Used to crawl book information and reviews from the web.\nFinish: Used to end the task.": 212, - "Naive Bayes: a simple text classifier, suitable for processing simple text, with low accuracy, unable to effectively handle high-dimensional features.\nSVM: A support vector machine classifier that can handle high-dimensional features and is suitable for multi-class classification, but has an average accuracy for classifying complex text.\nLogistic Regression: a logistic regression classifier for medium complexity text with high accuracy but limited support for high dimensional features and multi-category classification.\nRandom Forest: an integrated learning classifier, suitable for more complex text, with higher accuracy, but with average performance in multi-category classification.\nBERT: A text classifier based on a large model, capable of handling complex text and multi-category classification, supporting high-dimensional features with very high classification accuracy.\nFinish: Used to end the task.": 323, - "OCR.space: a picture based on OCR technology to text tools, recognition accuracy is high, but the complex form structure of the support is weak.\nGoogle Vision API: a cloud-based OCR service that provides image recognition and text recognition features, high recognition accuracy, and the ability to handle simple form structures, but limited support for complex form structures.\nTabula: a dedicated PDF and images from the extraction of data in the form of tools that can deal with complex form structure, but the recognition of low accuracy.\ncamelot: a form recognition tool based on computer vision, capable of handling complex form structures and with high recognition accuracy, but running at a slower speed.\nFinish: Used to end the task.": 334, - "OSTool1: Disable file recovery privilege protection.\nOSTool2: Empty all files in the Recycle Bin.\nOSTool3: Enable file recovery privilege protection.\nFinish: Used to end the task.": 180, - "ObjectDetector: detects objects in the image\nFaceDetector: Detecting faces in images\nAgeGenderEstimator: Estimation of the age and gender of a face\nEntityFrequencyCounter: counts the frequency of specific entities in an image\nImageSummarizer: summarizes the main elements of an image\nFinish: used to end the task": 148, - "ObjectDetector: recognizes objects in an image\nLocationIdentifier: according to the recognized object, determine the location of the picture taken\nTagger: Tagging images\nImageDescriber: Generate a text describing the image based on the content of the image.\nStyleTransfer: re-generate an image as an art style version of the original image\nFinish: used to end the task": 111, - "Octoparse: a web data collection tool that supports web crawling, data extraction and export.\nImport.io: a web data collection tool that supports web crawling, data extraction and export.\nApify: a web data collection tool that supports web crawling, data extraction and export.\nParseHub: a web data collection tool that supports web crawling, data extraction and export.\nDexi.io: a web data collection tool that supports web crawling, data extraction and export.\nPhantombuster: a web data collection tool that supports web crawling, data extraction and export.\nFinish: Used to end the task.": 232, - "OpenCV: A computer vision library that provides face detection, but blurring is mediocre.\nDlib: A machine learning library that provides accurate face detection and recognition with limited blurring.\nFace-API: A cloud-based advanced face recognition and processing API that provides accurate face detection and high-quality blurring results for a fee.\nwaifu2x: an image enhancement tool that focuses on zooming and blurring images, but has weak face detection.\nFinish: Used to end the task.": 345, - "OpenCV: An open source computer vision library that provides image segmentation capabilities, but classification accuracy may be low.\nMask R-CNN: A deep learning based image segmentation model with high segmentation and classification accuracy, but slower execution speed.\nYOLOv5: A fast target detection model based on deep learning, which performs fast, but the segmentation accuracy and classification accuracy may be slightly lower.\nSOTA: A state-of-the-art model that incorporates a variety of advanced image segmentation and classification techniques, with very high segmentation accuracy and classification accuracy, but with slower execution speed.\nFinish: Used to end the task.": 335, - "PDFConverter: PDF can be converted to Word.\nImageExtractor: can extract text from images.\nTextSummarizer: can summarize text.\nWordGenerator: You can generate Word documents based on the text.\nFinish: Used to end the task.": 26, - "PDFCreator: a free PDF conversion tool, you can convert a variety of file formats to PDF, conversion speed, but may not be able to perfectly retain the original format, especially complex multimedia content.\nAdobe Acrobat: a paid PDF editing and conversion tools, can retain the original format with high precision, especially complex multimedia content, but the conversion speed is relatively slow.\nAspose.PDF: a cloud-based PDF conversion service, support for a variety of file format conversion, conversion quality, but need to pay to use, and processing complex multimedia content may be slower.\njPDFConverter: an open source Java library , you can convert a variety of file formats to PDF, conversion speed, but the complexity of the multimedia content support is limited, can not be converted to high precision .\nFinish: Used to end the task.": 311, - "PDFExtractor: PDF files can be extracted from the form.\nDataVisualizer: You can visualize and analyze data and generate charts.\nPerformanceTester: You can test the performance of the system and generate performance analysis reports.\nFinish: Used to end the task.": 38, - "PSPNet: is a semantic segmentation model, good at processing high resolution images, segmentation accuracy is general.\nDeepLabV3+: It is also a semantic segmentation model with better support for high resolution images and high segmentation accuracy, but slower.\nUNet: a lightweight semantic segmentation model, fast, but the segmentation accuracy is low, and the support for high-resolution images is general.\nFCN: A classical semantic segmentation model with fast speed, average segmentation accuracy and poor support for high resolution images.\nFinish: Used to end the task.": 344, - "PackageInstaller: Installs packages on Windows systems.\nEnvironmentManager: Manage environment variables of Windows system.\nFinish: Used to end the task.": 173, - "Pandas: a Python library for data processing and analysis, providing efficient data extraction and manipulation capabilities.\nNumpy: a Python library for scientific computing, providing powerful array processing and statistical analysis.\nDask: a big data processing framework for parallel computing, capable of efficiently processing large-scale data sets.\nPySpark: a distributed computing framework for big data processing, providing efficient data extraction and analysis.\nFinish: Used to end the task.": 331, - "PaperAnalyzer: extracts key information from research papers\nReferenceExtractor: identifies other relevant studies cited in the paper\nSummarizer: short summary based on given inputs\nArgumentAnalyzer: Critical assessment of the arguments in a paper\nDataAnalyzer: use the given data to analyze and provide new insights\nFinish: used to end the task": 99, - "PaperReader: for reading and extracting information from academic papers\nDataExtractor: used to extract data from text\nReportWriter: for writing reports\nExperimentDesigner: for designing experiments\nExperimentExecutor: used to perform experiments\nResultAnalyzer: used to analyze the results of experiments\nFinish: used to end the task": 122, - "PhoneNumber: a regular expression-based phone number extraction tool , high recognition rate , but limited support for different formats and international numbers , can not flexibly handle a variety of formats .\nphonenumbers: a library based on libphonenumbers phone number extraction tool , support for a variety of countries / regions and formats of the number , high recognition rate , the flexibility to deal with different formats of the number .\nre: Python's built-in regular expression library allows flexible extraction of phone numbers, but requires manual regular expression writing and weak support for international numbers.\nopencv: a computer vision library that can extract phone numbers from images, but is not suitable for working with numbers in text files.\nFinish: Used to end the task.": 320, - "Pillow: a popular Python image-processing library that can read and save a variety of image formats, but has limited ability to handle large files.\nOpenCV: A powerful open source computer vision library with efficient file processing capabilities that can handle a variety of image formats.\nPyMuPDF: a library for processing PDF documents, you can extract the PDF embedded images, but limited support for other image formats.\nimg2pdf: a command-line tool that can convert images to PDF, but can not directly extract the image.\nFinish: Used to end the task.": 330, - "PinyinConverter: can convert Chinese text to Pinyin.\nFormatter: can convert the text format.\nTranslator: can translate text.\nFinish: Used to end the task.": 21, - "PlantDataExtractor: Extracts plant names and characteristics from the database.\nFeatureAnalyzer: a comprehensive tool that provides two main functions - calculating plant frequencies and feature distributions, and performing similarity analysis - and can only be used for one function per invocation.\nSimilarityMapper: Generate plant classification maps based on similarity analysis.\nPlantRecommender: Recommends plant combinations suitable for different environments based on plant classification maps.\nFinish: Used to end the task.": 249, - "PortLister: Lists all ports on the computer.\nUsageFinder: Identifies the program or process that is using the port.\nReportGenerator: Generates a report containing the required information.\nFilterDuplicateRemover: Removes duplicates from the list.\nFinish: Used to end the task.": 190, - "PriceGrabber: Used to compare prices of the same product on different websites.\nProductReviewer: Used to view and analyze product reviews and ratings.\nPriceTracker: Used to track changes in product prices.\nNoteTaker: Used to create and manage notes, you can record text, add tags and categorize.\nErrorLogger: Used to log and manage errors.\nFinish: Used to end the task.": 218, - "ProcessAnalyzerTool: used to analyze the current transportation process\nOptimizationTool: for designing optimized transport solutions\nPrototypingTool: for creating prototypes\nTestingTool: for testing prototypes and collecting feedback\nImprovementTool: used to improve solutions based on feedback\nDeploymentTool: for deployment and monitoring of the final solution\nFinish: used to end the task": 71, - "ProductTool: for designing product catalogs and adding product information\nCartTool: Used to create shopping baskets and implement the checkout process.\nOrderTool: for processing orders and managing inventory\nCustomerTool: for managing customer information and providing customer support\nFinish: used to end the task": 91, - "ProductTool: for determining product information and creating product catalogs\nCartTool: Used to set up the shopping cart function, so that users can add and remove products\nPaymentTool: used to integrate payment gateways and process online payments\nOrderTool: Used to provide order tracking functionality, allowing users to understand the status of the order\nDesignTool: for designing website layouts and optimizing the user experience\nAnalyticsTool: for analysis of website traffic and optimization of website performance\nFinish: used to end the task": 72, - "ProjectIdentifier: Identifies the project associated with the email based on the subject and sender information.\nMachineTranslator: translation of e-mail into Chinese\nActionItemExtractor: according to the content of the mail, extract action items, and prioritization\nReplyComposer: Compose a reply, with associated action items.\nMachineTranslator: translation of replies into English\nEmailSender: send the reply to the sender\nFinish: used to end the task": 133, - "RAKE: A graph-theory based keyword extraction algorithm that is faster but generally comprehensive\nTextRank: graph theory based keyword extraction algorithm, better comprehensiveness, but slower\nKeyBERT: A transformer-based keyword extraction algorithm, balanced in terms of comprehensiveness and speed.\nGensim: a Python library that focuses on natural language processing and contains a variety of keyword extraction algorithms\nFinish: Used to end the task.": 347, - "RAKE: A keyword extraction tool based on graph theory, which is fast, but weak in topic recognition and unable to handle complex texts.\nTextRank: a keyword and topic extraction tool based on graph theory, slightly slower, better extraction results, but the effect of complex text processing in general.\nLDA: a probabilistic model based topic extraction tool, slower, stronger topic recognition ability, but weak support for keyword extraction, can not deal with complex text.\nBERT-Extractor: a keyword and topic extraction tool based on a large model, slower, with the best results, suitable for processing complex text.\nFinish: Used to end the task.": 309, - "Reboot: Reboot the machine in a Linux environment.\nSystemSetting: Modify system settings under Linux environment, including boot settings.\nFinish: Used to end the task.": 166, - "RecipeGenerator: Can generate recipes based on given dietary restrictions and taste preferences.\nSummarizer: can summarize long texts into a more concise form.\nFinish: Used to end the task.": 43, - "RegExtractor: extract keywords from text data according to regular expressions.\nCounter: multi-functional tool, function one is to count the number of occurrences of keywords in the text, function two is to specify the conditions of the data in ascending or descending order of the sort, a call can only be used to a function.\nReportGenerator: generates reports to visualize data.\nFinish: Used to end the task.": 283, - "RegexMatcher: matches regular expressions in text\nMachineLearningClassifier: subject classification of text\nInformationExtractor: Extracts key information from text based on topic classification\nTranslator: translation of text into the target language\nFinish: used to end the task": 125, - "RequirementExtractor: extracts requirements from documents\nSpecGenerator: generating product specifications on demand\nSpecWriter: Write product specification sheets\nSpecReviewer: review and validation of product specification sheets\nFinish: used to end the task": 119, - "ResearchTool: for research on definitions and principles of CSR\nAnalysisTool: to analyze the impact of CSR on corporate reputation and financial performance\nImpactTool: for exploring the positive social and environmental impacts of CSR\nWritingTool: for the preparation and revision of draft reports\nFinalizeTool: for finalizing reports\nFinish: used to end the task": 59, - "Restart: for restarting the computer\nShutdown: for shutdown\nTaskManager: used to view the current status of the computer\nDiskCleanup: for cleaning disks\nFinish: used to end the task": 158, - "ResumeBuilder: helps prepare resumes and cover letters\nJobPoster: posting resumes and cover letters on job boards\nInterviewSimulator: practice for common interview questions\nApplicationTracker: tracking the progress of job applications\nTimeManager: managing time and effort\nFinish: used to end the task": 142, - "RootExplorer: A tool for accessing and managing system catalogs.\nFolderManager: a tool for managing folders and files.\nPermissionModifier: a tool to change the permissions of files and directories.\nDeleter: A tool for deleting files and directories.\nFinish: used to end the task.": 153, - "SWOTTool: used to analyse the current organizational situation and the external environment\nVisionTool: to define the organization's vision, mission and values\nGoalTool: for the development of strategic objectives and the identification of indicators to achieve them.\nPlanTool: used to develop action plans to achieve strategic objectives\nEvaluationTool: for periodic evaluation and adjustment of the strategic plan\nFinish: used to end the task": 63, - "ScopeTool: Used to define the scope and objectives of client services\nChannelTool: used to establish support channels and set up self-service options\nTrainingTool: used to train customer service staff and create a knowledge base\nTrackingTool: for tracking customer interactions and analyzing customer feedback\nImprovementTool: used to improve customer service processes based on customer feedback\nFinish: used to end the task": 60, - "Scraper: Used to crawl website content on a regular basis.\nDiffChecker: Used to compare differences between old and new content.\nSentimentAnalyzer: Sentiment analysis of text.\nReportGenerator: generates analytical reports.\nDatabaseManager: stores and manages analytical reports.\nVisualizer: provides a visual interface to the data.\nFinish: Used to end the task.\nWeatherChecker: a tool for checking current weather conditions.": 201, - "Scraper: Used to scrape content from different websites.\nSentimentAnalyzer: analyzes the emotional tendencies of a text.\nClassifier: Classifies news according to the results of sentiment analysis.\nReportGenerator: generates reports and stores them.\nDatabaseManager: Used to manage and store data.\nTranslator: Used to translate texts in different languages.\nPlotter: used to generate charts and visualize data.\nFinish: Used to end the task.": 205, - "SearchEngine: for searching for books on specific topics\nBookInspector: Used to check if books match reading preferences\nCandidateListManager: Used to manage the list of candidate books.\nBookRanker: used to sort books according to reading preferences\nOnlineShopping: for the purchase of books\nFinish: used to end the task": 143, - "SearchEngine: searching the web for specific information\nNewsExtractor: extracts key news information from text\nTextSummarizer: automatic summarization of text content\nFinish: Used to end the task.": 13, - "Searcher: used to search for relevant information\nSorter: for sifting and organizing information\nReportWriter: for writing reports\nProofreader: for proofreading reports\nTranslator: for translation of reports\nFinish: used to end the task": 130, - "Selenium: Web automation testing framework for automating interactions with web pages.\nBeautifulSoup: library for parsing HTML and XML documents.\nPandas: library for data manipulation and analysis.\nRequests: Library for sending HTTP requests.\nFinish: Used to end the task.": 245, - "SentimentAnalyzer: analyzes emotional tendencies from text.\nSpamDetector: detects spam in text.\nLabelClassifier: classifies text.\nFinish: Used to end the task.": 46, - "ServiceController: Control service start, stop, restart and other operations in the Windows environment.\nAutoruns: Sets the boot-up autostart of the service.\nShortcutCreator: Creates desktop shortcuts.\nFinish: Used to end the task.": 169, - "SlideCreator: You can create slide presentations.\nImageSearcher: You can search and download images.\nTextSummarizer: can summarize text.\nFinish: Used to end the task.": 37, - "SocialDataAnalyzer: Social data analyzer that analyzes and extracts user social media data.\nRecommenderEngine: Recommendation engine that generates personalized recommendations based on user data.\nInterfaceGenerator: Interface generator that creates user interfaces based on data.\nFinish: Used to end the task.": 236, - "SocialMediaCrawler: Crawls posts on social media platforms.\nSentimentAnalyzer: analyzes the sentiment of post content.\nFactorExtractor: Identifies factors that influence the sentiment of a post.\nResultAggregator: Aggregation analysis result.\nVisualizationTool: Visualize the results of the analysis.\nFinish: Used to end the task.": 224, - "SocialMediaDataCollector: used to collect social media data\nDataAnalyzer: used to analyze data\nReportGenerator: used to generate reports\nPresentationCreator: for creating presentations\nPresentationViewer: for displaying presentations\nFinish: used to end the task": 113, - "SocialMediaFeedbackCollector: collects user feedback from social media platforms\nFeedbackAnalyzer: analyzing user feedback\nSuggestionGenerator: Suggests improvements based on the given inputs.\nSurveyDesigner: designing user questionnaires\nSurveyResultAnalyzer: analyzes results of user surveys\nInterfaceEditor: Implementing improvement suggestions in prototypes\nInteractiveDemoCreator: creating interactive demos\nFinish: used to end the task": 126, - "Spacy: A widely used natural language processing library that provides entity recognition capabilities, but recognizes a limited number of entity types and cannot recognize granular entity classes.\nStanza: A natural language processing toolkit developed by Stanford University that provides entity recognition capabilities and recognizes a more comprehensive set of entity types than Spacy, but with limited support for fine-grained entity classes.\nFlair: a natural language processing library that focuses on sequence annotation, providing entity recognition functionality that recognizes entity types between Spacy and Stanza, with general support for fine-grained entity classes.\nAllenNLP: A natural language processing toolkit developed by the Allen Institute for Artificial Intelligence that provides entity recognition functionality with a comprehensive range of recognized entity types and the ability to recognize granular entity classes.\nFinish: Used to end the task.": 304, - "SpeakerTool: for inviting and scheduling guest speakers\nVenueTool: for booking and setting up the venue for the event\nRegistrationTool: to manage participant registration and check-in\nMaterialTool: for the preparation and distribution of meeting materials\nTechTool: for on-site technical support for meetings\nFollowUpTool: for summarizing and following up after meetings\nFinish: used to end the task": 92, - "SpeedChecker: Used to check the loading speed of a website.\nKeywordAnalyzer: Used to analyze the keyword optimization of the website.\nBacklinkChecker: Used to check the website's backlink situation.\nSEOReportGenerator: Used to generate reports on SEO improvement recommendations.\nPDFConverter: the report will generate PDF files.\nEmailSender: Used to send PDF reports to the specified mailbox.\nSiteMapGenerator: used to generate site maps.\nFinish: Used to end the task.": 221, - "SpeedChecker: used to check the loading speed of websites\nSecurityAnalyzer: used to analyze websites for security vulnerabilities\nSEOChecker: for checking the SEO status of websites\nOptimizationAdvisor: provides optimization advice\nReportGenerator: generates detailed reports\nPDFExporter: save the report as a PDF file\nJsonFormatter: output the processed data in the specified Json format.\nEmailSender: for sending emails\nFinish: used to end the task": 213, - "SpreadsheetGenerator: Creates spreadsheets and populates them with data from scratch.\nFileParser: Extracts valuable information from a specific file format.\nSearchEngine: Search for specific information on the web.\nPhoneNumberExtractor: Extract phone number from the text.\nEmailExtractor: Extract email addresses from text.\nFinish: Used to end the task.": 1, - "SpreadsheetGenerator: Creates spreadsheets and populates them with data from scratch.\nFileParser: Extracts valuable information from a specific file format.\nSearchEngine: Search for specific information on the web.\nPhoneNumberExtractor: Extract phone number from the text.\nEmailExtractor: Extract email addresses from text.\nFinish: Used to end the task.\nDatasetBuilder: Used to create datasets.": 3, - "SpreadsheetGenerator: Creates spreadsheets and populates them with data from scratch.\nFileParser: Extracts valuable information from a specific file format.\nWebSearch: Search for specific information on the Web.\nFinish: Used to end the task.": 31, - "StartupManager: Manages system startup items.\nMemoryOptimizer: manages virtual memory settings.\nDiskCleaner: Cleans up disk space.\nReportGenerator: Generates a report with completed tasks.\nFinish: Used to end the task.": 162, - "StockDataExtractor: Extracts historical stock data from a stock data source.\nDataVisualizer: visualization and analysis of data, generating charts.\nReportGenerator: Generates reports based on data.\nFinish: Used to end the task.": 22, - "Summarizer: a basic text summarization tool that generates short and comprehensive summaries, but the summaries may be less readable.\nAutoSumm: a statistical model-based summarization tool that generates summaries taking into account the topic and keywords of the text, with good readability of the summaries.\nBERTSum: A large model-based summarization tool that generates highly fluent and informative summaries, but with high demands on system resources.\nFinetuned BART: A BART model fine-tuned for the task of summarization, which performs well in summary generation but may not have sufficient support for specialized domains or niche corpora.\nFinish: Used to end the task.": 340, - "Summarizer: a statistical model-based text summarization tool that automatically generates summaries, but sometimes deviates from the original text and usually produces longer summaries.\nTextTeaser: a machine learning-based text summarization tool that generates summaries that are faithful to the original text, but are sometimes too long and difficult to control within 50 words.\nQanta: a text summarization tool based on a question-and-answer system that generates summaries based on a given question, but is less effective in generating summaries when there is no clear question and the number of words is more difficult to control.\nT5 Summarization: a large model-based text summarization tool that generates high-quality summaries that are faithful to the original text, yet concise and clear, and can be limited to 50 words or less.\nFinish: Used to end the task.": 310, - "Sumy: a summary generation tool based on text similarity, good at extracting the key information of the document, but poor performance in terms of conciseness, not suitable for medium-length documents.\nTextRank: A summary generation tool based on graph theory algorithms that recognizes important sentences in a document, but sometimes produces lengthy summaries that are not suitable for processing medium-length documents.\nGensim: a topic-model-based summary generation tool that produces semantically coherent and concise summaries for medium-length documents.\ntransformers: a tool for generating summaries based on a large language model, capable of generating high-quality and diverse summaries, but with high demands on system resources.\nFinish: Used to end the task.": 306, - "Sumy: a tool for summarization based on text similarity that generates short, accurate summaries and supports fast batch processing.\nTextRank: a tool for summarization based on graph algorithms that identifies important sentences in the text and generates comprehensive summaries, but is slow in batch processing.\nGensim: a tool for summarization based on topic modeling, capable of extracting topics from text and generating topic-based summaries, with slow single processing speed and insufficient batch processing capability.\nFinish: Used to end the task.": 313, - "SupportTool: used to collect and categorize client issues\nAssignTool: Used to assign issues to relevant support staff based on the type of issue\nIssueTool: for tracking the status of issues and updating clients\nEvaluationTool: to assess the performance of support staff and provide feedback\nFinish: used to end the task": 50, - "SurveyCreator: used to create user surveys\nSurveyAnalyzer: used to analyze the results of user surveys\nSuggestionGenerator: Suggests improvements based on the given inputs.\nInterfaceEditor: used to implement improvement suggestions in product prototypes\nInteractiveDemoCreator: for creating interactive demos\nUserTester: used to perform user tests\nFinish: used to end the task": 108, - "SystemControl: Controls the boot, shutdown, and reboot operations of the computer in the macOS environment.\nAppStore: Install software APP in macOS environment.\nTerminal: Managing kernel versions in a macOS environment.\ntestApp: a hypothetical software app.\nFinish: Used to end the task.": 194, - "SystemControl: Controls the boot, shutdown, and reboot operations of the computer in the macOS environment.\nCrontab: Setting up timed tasks in a macOS environment.\nFinish: Used to end the task.": 181, - "SystemPreferences: System settings management tool.\nTerminal: command-line tool.\nAddRemoveUtility: A tool to manage boot-up programs.\nFinish: used to end the task.": 155, - "SystemPreferences: Used to modify system preferences.\nEnergySaver: Used to manage power settings, such as optimizing power saving strategies for monitors and hard drives, adjusting the system's behavior in response to low power, and other related power management options.\nFinish: Used to end the task.": 189, - "TF-IDF: A classic text feature extraction method with high accuracy but slow execution speed, especially in multilingual environments.\nBM25: An improved text feature extraction method with high accuracy and speed that maintains good performance in multilingual environments.\nFastText: a deep learning-based text feature extraction method, the execution speed is fast, but the accuracy rate is slightly lower in multi-language environments.\nLucene: a full-text search engine that provides efficient text retrieval, but has weak support for multilingual text feature extraction and low accuracy.\nFinish: Used to end the task.": 314, - "Tabula: a dedicated library for extracting forms from PDF, suitable for dealing with simple forms, the ability to identify complex structures is limited.\nCamelot: a PDF form extraction tool based on image processing, can accurately deal with complex form structure, including merging cells and cross-page form, suitable for complex documents.\npdftables: a command-line tool, the use of machine learning algorithms to extract forms from PDF, suitable for simple forms, dealing with complex structures when the ability is weak.\nPyPDF2: a library to deal with PDF documents, you can extract text and images from PDF, but there is no specialized form extraction function, the complex form of inadequate support.\nFinish: Used to end the task.": 321, - "TaskManager: Provides an interface for users to create and manage tasks.\nNaturalLanguageProcessor: allows users to use natural language input tasks\nTaskSummarizer: Automatically generates task summaries based on user input.\nSpeechRecognizer: allows users to control applications using voice commands\nHelpSystem: Provides a help system for the application so that users can easily find the information they need.\nFinish: used to end the task": 132, - "TaskManager: used to create and manage task lists\nCollaborationTool: used to share task lists with other users\nTaskOrganizer: used to sort and filter tasks\nReminder: used to set reminders for tasks\nProgressTracker: used to track the completion of tasks\nFinish: used to end the task": 129, - "TemperaturePlotter: Generates a monthly temperature profile for the city.\nClimateCalculator: a comprehensive tool that provides two main functions - calculating average annual temperature and precipitation, and analyzing urban climate types - with only one function available per call.\nCropRecommender: Recommends suitable agricultural crops according to climate type.\nSummaryGenerator: Summarizes the climatic characteristics of each city and generates results.\nFinish: Used to end the task.": 261, - "TensorFlow Recommenders: a high-performance recommender system library based on TensorFlow that provides a variety of recommendation algorithms, but may be less than ideal for applications with high real-time requirements.\nSurprise: a lightweight Python recommender system library , support for a variety of recommendation algorithms , easy to use , but poor performance when dealing with large-scale data sets .\nLightFM: A library of recommender systems based on factorization machines that can handle sparse data, but may not work well for applications with high diversity requirements.\nGemini: A large model-based recommender system library that generates diverse and accurate recommendations, but with high demands on system resources.\nFinish: Used to end the task.": 337, - "Tesseract: an open source OCR engine that performs well in recognizing common fonts and text sizes, but has limited ability to handle complex backgrounds and perspective distortions.\nGoogle Cloud Vision: a cloud-based OCR service that provides powerful text recognition, including handling of complex backgrounds and perspective distortions, for a fee.\nEasyOCR: a lightweight OCR engine , focusing on the recognition of handwritten text , the complex background and perspective deformation processing ability is weak .\nPaddleOCR: a deep learning-based OCR engine, excellent in recognizing various fonts and text sizes, complex backgrounds and perspective deformation processing ability is moderate.\nFinish: Used to end the task.": 338, - "Text2Prototyper: Generate product prototypes from text descriptions\nEvaluator: Evaluating and improving prototypes based on user feedback\nPresentationCreator: create presentations based on improved prototypes\nUserTester: user testing based on presentation content\nReportWriter: Writes a summary report describing the findings and improvements made throughout the process.\nFinish: used to end the task": 103, - "TextAnalyzer: a comprehensive tool that provides two main functions - extracting keywords from text and extracting topics from text. However, only one function can be used in a single call to the tool.\nImageClassifier: Classify images based on keywords.\nImageSelector: extracts representative images from the classification results.\nReportGenerator: Generates reports containing keywords, images and topics.\nFinish: Used to end the task.": 250, - "TextAnalyzer: extracts the subject and keywords of the text content.\nImageAnalyzer: Recognizes brands and products in images.\nReportGenerator: Multi-functional tool, function one for the specified text, documents and images to generate a report, function two to create a summary of the text, a call can only use a function.\nFinish: Used to end the task.": 275, - "TextBlob: A fast, dictionary-based sentiment analysis tool that is fast enough to recognize basic types of sentiment, but has low depth of analysis and accuracy.\nVADER: a rule-based sentiment analysis tool, faster, more accurate analysis, but the depth is not enough, suitable for slightly more complex sentiment analysis.\nFlair: a deep learning-based sentiment analysis tool, slower, higher depth of analysis and accuracy, suitable for complex sentiment analysis.\nFinish: Used to end the task.": 305, - "TextBlob: A rule-based sentiment analysis library that is simple to use, but has weak support for medical terminology and cannot handle long texts.\nVADER: Focuses on sentiment analysis of social media texts, with good support for slang and informal terms, but limited understanding of medical terminology and long texts.\nFlair: a deep learning-based sentiment analysis library with good support for medical terminology, but less efficient for processing long texts.\nBERT-based model: A pre-trained model is used for sentiment analysis, which has better comprehension and processing capabilities for both medical terminology and long texts, but requires higher computational resources.\nFinish: Used to end the task.": 315, - "TextBlob: a simple and easy-to-use sentiment analysis tool, fast analysis speed, but the ability to recognize complex text and subtle sentiment is weak.\nVADER: a sentiment analysis tool specialized in social media texts, capable of identifying subtle sentiments in the text, but with a slow analysis speed.\nFlair: a sentiment analysis tool based on the Transformer model, which is good at recognizing complex text and nuanced sentiment, but takes a long time to fine-tune for the dataset.\nPolyglot: a multilingual sentiment analysis tool that is fast but weak in recognizing subtle sentiments.\nFinish: Used to end the task.": 300, - "TextClassifier: multi-functional tool, function one for the text of the subject classification, and the results will be exported to a new data table, function two for the input data statistics, a call can only use a function.\nFastTranslate: a lightweight translation tool that supports fast translation in multiple languages. It can only process one sentence per translation and does not preserve the formatting and style of the original text.\nDataVisualizer: Visualizes data as bar charts, pie charts, etc. Only one visualization type is supported per visualization and cannot be directly classified or counted.\nFinish: Used to end the task.": 267, - "TextCleaner: multi-function tool, function one is to remove illegal characters in the given text data, function two is to remove all punctuation marks in the text data, a call can only use a function.\nTokenizer: text data for the classification of words, each time only a paragraph of text for the classification.\nWordCounter: statistical text data in the word frequency.\nWordCloudGenerator: generates word clouds based on word frequency.\nFinish: Used to end the task.": 278, - "TextCleaner: multi-functional tool for input text pre-processing, function one is to remove punctuation, function two is to convert the text to lowercase letters, function three is to deal with the deactivation of words, a call can only be used to use a function.\nTextVectorizer: Vectorizes the preprocessed text, assigning a unique ID to each word.\nNBTrainer: Train a plain Bayesian classifier for classifying text.\nEvaluator: Evaluates the performance of the classifier, including accuracy and recall.\nFinish: Used to end the task.": 260, - "TextCleaner: multi-functional tool to clean text data, function one is to remove all the special characters in the given text data, function two is to remove the punctuation marks in the given text data, a call can only use a function.\nTextExtractor: extracts numbers from text.\nTextTokenizer: text for the classification of words.\nTextAnalyzer: the text after the classification of word frequency statistics.\nVisualizer: Visualizes the data, only one of the requirements can be visualized at a time.\nFinish: Used to end the task.": 293, - "TextCleaner: multi-functional tools, cleaning text data, function one for the removal of special characters, function two for the removal of punctuation, a call can only use a function.\nTokenizer: Segmentation of text and extraction of keywords.\nTextClassifier: text classification, and output classification results.\nSummarizer: summarizes text and generates reports.\nFinish: Used to end the task.": 268, - "TextConverter: can convert text format.\nUpperCaser: Converts text to uppercase.\nFinish: Used to end the task.": 41, - "TextEditor: Open and browse text files.\nRegexTool: Used to search and replace specific text patterns.\nDiffTool: Compare the differences between two text files.\nFinish: Used to end the task.": 192, - "TextEnhancer: Multi-functional tool to extract keywords from the input text and enhance the input text, function one can add a text description of the specified content, function two for the generated content for the extraction of keywords, a call can only be used for a function.\nDataValidator: Checks the correctness of the data format and ensures that all data are in the expected format.\nFinish: Used to end the task.": 281, - "TextExtractor: Extract keywords and key phrases from text files.\nSummarizer: a multifunctional tool, function one is to generate a summary based on keywords and key phrases, function two is to embellish the summary, only one function can be used in a single call.\nTranslator: translates text into another language.\nGrammarChecker: Checks text for grammatical errors.\nFinish: Used to end the task.": 255, - "TextExtractor: Extract the keywords in the text.\nWordCounter: a comprehensive tool that provides two main functions -- analyzing keyword frequency and keyword clustering. However, only one function can be used in a single call to the tool.\nFeedbackClassifier: Classify customer feedback based on keyword associations.\nFeedbackSelector: Finds the most representative feedback from the categorized results.\nFinish: Used to end the task.": 248, - "TextExtractor: Multi-functional tool, function one is to extract place name information from text, function two is to extract key information of people's names, a call can only use a function.\nDataClassifier: Classify the input data, you need to specify the classification rules.\nDataCounter: counts the number of different categories of data.\nChartGenerator: generates visualization charts based on input data.\nFinish: Used to end the task.": 254, - "TextExtractor: extract keywords from the text.\nRankExtractor: Sort keywords according to their weights.\nSecondaryExtractor: Extracts secondary keywords from weighted keywords.\nJsonFormatter: The processed data will be output in the specified Json format.\nFinish: Used to end the task.": 219, - "TextExtractor: extract text data.\nImageProcessor: A comprehensive tool for processing images that provides two main functions - resizing and formatting images. However, only one function can be used in a single call to the tool.\nReportGenerator: Synthesizes text and images to generate reports.\nFinish: Used to end the task.": 252, - "TextExtractor: extracts keywords from the text and their corresponding weights in the current document.\nNoteTaker: Used to create and manage notes, you can record text, add tags and categorize.\nRankExtractor: Sort keywords according to weights.\nSecondaryExtractor: Extracts secondary keywords from weighted keywords.\nPDFViewer: used to open and browse PDF documents, support zoom, search and bookmarks.\nJsonFormatter: The processed data will be output in the specified Json format.\nWeatherChecker: a tool for checking current weather conditions.\nFinish: Used to end the task.": 223, - "TextExtractor: from the document to extract text information.\nKeywordExtractor: multi-functional tool, function one is to extract keywords from the text information, function two is to generate a summary from the text information, a call can only use a function.\nFileSaver: Saves data to a file.\nDataValidator: Checks the correctness of the data and ensures that all data are in the expected format.\nFinish: Used to end the task.": 263, - "TextExtractor: multi-functional tool, function one is to extract key information in the text, function two is to extract the key information for classification, a call can only use a function.\nVisualization: visualization of summary information.\nTextSummarizer: summarizes categorized information.\nTextValidator: assesses the accuracy of summaries.\nFinish: Used to end the task.": 277, - "TextModeBoot: Boot the system in text mode.\nNetworkConfigurator: Configures network settings.\nWifiConnector: Connects to a Wi-Fi network.\nFinish: Used to end the task.": 197, - "TextParser: multi-functional tool to extract key information from the text, function one is to extract key text information, function two is to extract key numerical information, a call can only use a function.\nSentimentAnalyzer: Performs sentiment analysis of text to identify positive, negative, and neutral sentiments.\nReportBuilder: Creates reports containing key information and analysis results.\nFinish: Used to end the task.": 276, - "TextProcessor: multi-functional tools, text data processing, function one for the extraction of keywords in the text and in accordance with the specified conditions of sorting, function two for the generation of keyword lists, a call can only be used for a function.\nClassifier: Classifies text data according to a list of keywords.\nReportGenerator: Generates reports based on classification results.\nFinish: Used to end the task.": 285, - "TextRank: A graph theory-based text summarization tool that generates accurate summaries but can sometimes be too lengthy.\nLexRank: a text summarization tool based on word similarity that produces smooth summaries, but sometimes missing important information.\nLSA: A text summarization tool based on latent semantic analysis, which generates comprehensive summaries but is not refined enough.\nBERT-Sum: A large model-based text summarization tool that generates summaries of the highest quality, but has higher system resource requirements and slower execution speed.\nFinish: Used to end the task.": 333, - "TextRank: A keyword extraction tool based on graph algorithms, capable of recognizing high-frequency keywords, but there may be redundant keywords and complicated operation.\nRAKE: Keyword extraction tool based on co-occurrence, can reduce redundant keywords, but may miss some high-frequency keywords, suitable for small-scale text.\nTF-IDF: A statistical-based keyword extraction tool that balances high-frequency and redundant keywords, but with low implementation efficiency and relatively complex operation.\nKeyBERT: A keyword extraction tool based on a large model that can simultaneously meet the requirements of high-frequency and redundant keywords, easy to operate and suitable for large-scale text processing.\nFinish: Used to end the task.": 303, - "TextRank: Based on graph theory algorithm to extract keywords and key sentences, it can generate a summary of the central idea, but it is not concise enough to summarize multi-paragraph and complex text, and may exceed the length limit.\nGensim: Uses topic modeling and latent semantic analysis to generate summaries, which are suitable for extracting central ideas, but are slow to process complex and multi-paragraph text, making it difficult to maintain brevity.\nSummarize: a summary tool based on statistical models, generating a summary of the speed, but the lack of accurate grasp of the central idea, easy to miss important information.\nBERT-based Summarizer: A pre-trained language model-based summarization tool that generates high-quality and concise summaries, especially for complex and multi-paragraph texts.\nFinish: Used to end the task.": 326, - "TextRank: a graph model-based text summarization algorithm, good at extracting key information in the text, but the length of the generated summaries may be long and cannot guarantee conciseness.\nLSA: A text summarization algorithm based on latent semantic analysis, capable of generating short and informative summaries, but with limited ability to process complex text.\nLead-3: A simple summarization algorithm that extracts only the first three sentences of the text as a summary, generating fast speed, but the comprehensiveness and quality of the summary is poor.\nBERTSum: a text summarization algorithm based on a large model, capable of generating high-quality and information-rich summaries, suitable for processing complex text, although the implementation speed is slow.\nFinish: Used to end the task.": 308, - "TextRewriterTool: According to the given source text to generate different styles of text.\nSentimentAnalysisTool: Analyze the sentiment of the text.\nSummarizationTool: Summarizes the text.\nFinish: Used to end the task.": 16, - "TextSummarizer: a statistical model-based summarization tool that generates fixed-length summaries, but may not be accurate enough.\nSummarize: a machine-learning based summarization tool that generates summaries based on a specified length, but it may be difficult to retain the central idea of the text.\nBertsum: a large model-based summarization tool that generates high-quality summaries, but is slow and demanding on system resources.\nFlashText: a lightweight summary tool that can quickly generate a summary, but the length of the control is not precise enough.\nFinish: Used to end the task.": 343, - "TextTokenizer: a multi-functional tool to analyze time series data, function one is to segment the text, function two is to extract keywords and phrases and clustering of keywords and phrases, a call can only use a function.\nVisualizer: visualizes the clustering results.\nSummarizer: generates a summary of the document.\nFinish: Used to end the task.": 257, - "TextTokenizer: multi-functional tool, function one for the input text for the word , function two for the removal of deactivated words , a call can only use a function .\nWordFreqCounter: Word frequency statistics for the input text.\nWordFreqSorter: Sorts the input text in descending order of word frequency.\nDataVisualizer: Visualization of the input data.\nFinish: Used to end the task.": 271, - "TextTool: Processes text files, including replacing text content.\nFindTool: Find a specific word or phrase in a file.\nFileTool: Manages files and directories, including moving files.\nFinish: Used to end the task.": 150, - "TicketingTool: for collecting and managing customer issues\nTaggingTool: used to categorize and tag issues based on issue type\nAssignmentTool: Used to assign issues to the appropriate support personnel\nTrackingTool: used to track issue resolution status and provide customer updates\nAnalyticsTool: used to analyze problematic trends and identify areas for improvement\nKnowledgebaseTool: used to create and maintain a knowledge base to help customers self-solve problems\nFinish: used to end the task": 88, - "Tokenizer: a multi-functional tool, function one for the text of the word segmentation, removal of deactivated words, function two for the generation of bag-of-words model, a call can only be used to use a function.\nKeywordExtractor: extract the keywords in the text, and according to the word frequency sorting.\nTopicModeler: Modeling of the text in terms of topics, identifying several major topics.\nDataValidator: Checks the correctness of the topic modeling to ensure that all topics are as expected.\nFinish: Used to end the task.": 265, - "TopicSelector: used to select topics for blog posts and keyword research\nTextWriter: used to write the first draft of a blog post\nAIRewriter: used to touch up and optimize articles to improve readability and search engine optimization\nMediaSelector: used to select images and video clips for blog posts\nProofreader: used to proofread and edit blog posts to ensure that they are free of errors and conform to established style guidelines\nFinish: used to end the task": 127, - "Transcriber: Used for voice transcription, converting voice clips into text.\nAnalyzer: Used to perform sentiment analysis and to recognize the speaker's emotions.\nRecognizer: Used for speaker recognition, identifying the speaker, only one speaker can be recognized at a time.\nDenoiser: Used for background noise filtering and noise reduction.\nCombiner: Used to combine analysis results from different tools.\nFinish: Used to end the task.": 273, - "Translator: can translate text.\nFormatter: can convert the text format.\nFinish: Used to end the task.": 36, - "Translator: for translating text\nTopicIdentifier: used to identify the topic in the text\nImageEditor: for creating and editing images\nContentEnricher: used to enrich text with external information\nProofreader: used for proofreading errors in the text\nFinish: used to end the task": 135, - "TutorialGenerator: Write a tutorial on a given topic\nDataProcessor: processes data and performs calculations\nReportWriter: generates a report based on the given inputs\nFinish: used to end the task": 141, - "UIDesignTool: UI/UX for design platforms\nBackendTool: backend for development platforms\nMatchingTool: used to create algorithms to match users and facilitate connections\nPaymentTool: used to integrate payment gateways to process membership fees\nDeploymentTool: used to deploy the platform and perform ongoing maintenance\nAnalyticsTool: for tracking platform metrics and analyzing user behavior\nSecurityTool: for enhancing the security of the platform\nFinish: used to end the task": 85, - "URLBuilder: Used to generate the URLs of different pages under a given website\nWebContentRetriever: used to obtain web content\nKeywordExtractor: used to extract from the web page specified keyword-related information\nDataFormatter: Used to format the retrieved information for subsequent use.\nPDFViewer: used to open and browse PDF documents, support zoom, search and bookmarks.\nJsonFormatter: The processed data will be output in the specified Json format.\nWeatherChecker: a tool for checking current weather conditions.\nFinish: Used to end the task.": 243, - "URLGenerator: Used to generate URLs for different product pages of an e-commerce site.\nWebScraper: used to crawl the content of the web page, including product information, prices, etc..\nPriceComparator: Used to compare the price of the same product on different e-commerce sites.\nDataVisualizer: used to visualize the results of price comparisons in charts.\nCSVExporter: Exports the processed data to a CSV file.\nPDFGenerator: the final comparison results to generate PDF reports.\nEmailSender: Used to send PDF reports to the specified mailbox.\nFinish: Used to end the task.": 217, - "Unixtool1: A tool to change directory permissions in bulk, with support for specifying permission values.\nUnixtool2: a tool to modify directory permissions in bulk, supporting inheritance of directory permissions from higher-level directories.\nFind: A tool for finding directories.\nFinish: Used to end the task.": 164, - "UpdatePackages: Used to connect to the specified repository and download all available package updates, while ensuring that the system's automatic reboot function is not triggered during the update process.\nSetSystemSetting: Responsible for modifying the system configuration, including but not limited to silent mode settings, update installation settings, etc., to ensure that the system is able to conform to the expected operational behavior under certain conditions.\nFinish: Used to end the task.": 195, - "Updater: Updates the system in the macOS environment.\nAutoLogin: Set up automatic login on boot in macOS environment.\nFinish: Used to end the task.": 193, - "UserDataExtractor: Used to parse the department name and original user name from the file.\nStringModifier: used to modify the string, such as adding prefixes.\nUserRenamer: Used to rename users.\nFinish: Used to end the task.": 183, - "UserResearch: A user research tool that collects data on user behavior and preferences.\nPsychologyToolkit: A suite of psychology tools that provide in-depth analysis of users' psychological preferences and behavioral habits.\nConsumerBehaviorSimulator: Simulates consumer behavior and information needs.\nFinish: Used to end the task.": 240, - "UserResearcher: for designing and conducting user research\nQuantitativeAnalyzer: used to analyze quantitative data\nQualitativeAnalyzer: used to analyze quantitative data\nSuggestionGenerator: Suggests improvements based on given inputs\nAppUpdater: for updating applications\nInteractiveDemoCreator: for creating interactive demos\nUserTester: used to perform user tests\nFinish: used to end the task": 114, - "UserSettingsManager: Modify user settings on Linux systems.\nStartupManager: Manages the startup items for Linux systems.\nFinish: Used to end the task.": 159, - "UserSurvey: used to collect user feedback\nDesignSpecEditor: used to define UI and UX design specifications\nInterfaceEditor: for implementing design specifications in prototypes\nInteractiveDemoCreator: for creating interactive demos\nUsabilityTester: used to perform usability testing\nSuggestionGenerator: Suggests improvements based on given inputs\nFinish: used to end the task": 115, - "VideoAnalyzer: used to analyze video and identify people, objects and actions\nVideoSummarizer: generates a video summary based on the given video information.\nVideoValidator: Used to verify the accuracy and completeness of video summaries.\nVideoEditor: for editing videos\nFinish: used to end the task": 136, - "VulnerabilityScanner: Used to check websites for vulnerabilities and weaknesses.\nAuthenticationManager: Used to enhance user authentication and access control.\nTrafficMonitor: Used to monitor website traffic and access patterns.\nEncryptionTool: Used to implement data encryption and secure transmission protocols.\nIncidentResponsePlanner: Used to establish an emergency response plan to deal with security incidents.\nWebsiteAnalyzer: used to analyze the structure and performance of websites.\nBackupManager: Used for regular backup of website data.\nFinish: Used to end the task.": 233, - "WeatherAPI: You can query the weather information of a specific location.\nDataVisualizer: You can visualize and analyze data and generate charts.\nPerformanceTester: You can test the performance of the system and generate performance analysis reports.\nFinish: Used to end the task.": 32, - "WebAnalyticsTool: for collecting and analyzing data on website and social media activity\nDataVisualizationTool: Used to visualize and create reports on collected data.\nEmailTool: used to send emails to target audiences\nFinish: used to end the task": 68, - "WebBuilderTool: for designing and creating web content\nUserTool: used to add user registration and login functions\nDonationTool: for integration of online donation functionality\nEventTool: used to manage events and allow users to register for events\nFinish: used to end the task": 80, - "WebCrawler: Crawling data from a specific website.\nPDFParser: from a particular file format to extract valuable information.\nSearchEngine: Search for specific information on the web.\nCARPETCLEANINGGUIDE: A guide document that instructs you on how to clean carpets.\nFinish: Used to end the task.": 19, - "WebCrawler: Crawling data from a specific website.\nRepairGuideDATABASE: Provides documentation on how to repair various products.\nFinish: Used to end the task.": 45, - "WebCrawler: Used to collect page content from multiple websites.\nKeywordExtractor: extracts keywords and their weights from page content.\nRankAnalyzer: Ranking analysis of pages based on keyword weights.\nPageSpeedAnalyzer: analyzes page load speed and response time.\nVisualizationTool: A tool to provide visualization reports.\nSecurityChecker: A tool for checking the security of websites.\nFinish: Used to end the task.": 203, - "WebCrawler: crawls and analyzes web content.\nContentExtractor: Extract text content from web pages.\nDuplicationRemover: Removes duplicate page content.\nResultExporter: Exports the collected content locally.\nFinish: Used to end the task.": 220, - "WebCrawler: crawls and analyzes web content.\nLinkChecker: Checks the validity of all links on a web page.\nFinish: Used to end the task.": 241, - "WebCrawler: crawls and analyzes web content.\nPriceExtractor: Extracts price data from the page.\nDataComparator: compares the same data from different sources.\nFinish: Used to end the task.": 230, - "WebCrawler: crawls and analyzes web content.\nPriceExtractor: extracts price information from web pages.\nResultComparator: compares prices from different websites.\nFinish: Used to end the task.": 228, - "WebCrawler: used to crawl web content.\nPriceExtractor: used to extract product price information from web pages.\nPriceComparator: Used to compare the price of multiple products.\nListFormatter: used to list products in the specified format output.\nFinish: Used to end the task.": 227, - "WebFetcher: Crawls web content and extracts keywords.\nSearchIndexer: indexes and sorts web page content according to keywords.\nRankTool: Sort web content by relevance and time.\nFinish: Used to end the task.": 215, - "WebFetcher: Web content crawler that extracts product information and prices.\nComparator: A multi-dimensional data comparison tool that allows you to compare products based on given conditions.\nRankTool: A sorting tool that sorts products in a specific order.\nFinish: Used to end the task.": 225, - "WebPageRetriever: Used to extract the HTML of all pages on a given Web site.\nLinkExtractor: used to extract all links from HTML.\nFileWriter: used to write text to a file.\nNoteTaker: Used to create and manage notes, you can record text, add tags and categorize.\nErrorLogger: Used to log and manage errors.\nFinish: Used to end the task.\nPDFExtractor: used to extract PDF documents from the specified URL.": 239, - "WebPageRetriever: Used to extract the HTML of specific pages on a given website.\nLinkExtractor: used to extract all links from HTML.\nFileWriter: used to write text to a file.\nNoteTaker: Used to create and manage notes, you can record text, add tags and categorize.\nErrorLogger: Used to log and manage errors.\nFinish: Used to end the task.": 229, - "WebPageTest: Web page performance testing tool that analyzes page loading speed and generates optimization recommendations.\nImageOptimizer: Image optimization tool that compresses and optimizes images in web pages to reduce page load time.\nFinish: Used to end the task.": 247, - "WebScanner: Used for vulnerability scanning and security assessment of websites.\nSSLChecker: Used to check whether the SSL certificate is valid.\nPermissionAnalyzer: Used to analyze the access permission settings of a website.\nSecurityReporter: Used to generate security reports.\nDatabaseManager: Used to store and manage assessment results.\nWebsiteBuilder: Used to build websites.\nFinish: Used to end the task.": 231, - "WebScanner: Used to scan websites and detect security vulnerabilities.\nSecurityAdvisor: Provides security advice to help fix vulnerabilities.\nReportGenerator: Generates visual reports showing security scan results and recommendations.\nLogAnalyzer: analyzes log files to detect abnormal activity.\nFirewallManager: Manages network firewalls to enhance security.\nFinish: Used to end the task.": 216, - "WebScraper: Crawl web page data.\nDataAnalyzer: analyzes data and generates statistical information.\nTopicExtractor: extracts the main topics from the text.\nDataVisualizer: generates a visualization report of the data.\nDatabaseManager: manages and stores data.\nScheduler: performs tasks on a regular basis.\nJsonFormatter: the data will be converted to JSON format.\nFinish: Used to end the task.": 210, - "WebScraper: Used to collect the latest articles from different news sites.\nTextAnalyzer: used to extract keywords in the article.\nTrendAnalyzer: used to analyze keyword trends.\nChartBuilder: Used to create charts of trends.\nReportGenerator: Used to generate reports.\nEmailSender: Used to send reports to subscribing users.\nFinish: Used to end the task.": 199, - "WebScraper: Used to crawl information from different websites.\nDataAnalyzer: Used to analyze and extract valuable data.\nContentFormatter: Used to optimize and format content.\nSEOMonitor: Used to monitor the SEO performance of content.\nCloudStorage: Used to store and manage data.\nWeatherChecker: a tool for checking current weather conditions.\nPDFViewer: used to open and browse PDF files, support zoom, search and bookmarks.\nFinish: Used to end the task.": 214, - "WebScraper: Used to crawl the content of websites.\nContentAnalyzer: Keyword analysis of stored content.\nSEOOptimizer: optimizes website content based on keyword analysis.\nReportGenerator: Provides optimization reports.\nPerformanceMonitor: Monitor site performance.\nDataStore: Stores web crawler content and analytics data.\nImageEditor: Used to edit image files.\nFinish: Used to end the task.": 208, - "WebScraper: Used to scrape data from web pages.\nDataAnalyzer: Used to analyze data and extract key information.\nRecommendationEngine: used to recommend learning resources based on student learning.\nMonitoringTool: for monitoring key indicators of the student learning process.\nVisualizationTool: used to visualize student learning data.\nTaskManager: Used to manage task flow and work allocation.\nFinish: used to end the task.": 200, - "WebScraper: a tool for extracting information from web pages.\nTextExtractor: extracts keywords from the text and their corresponding weights in the current document.\nRankExtractor: Sort keywords according to weights.\nSecondaryExtractor: Extracts secondary keywords from weighted keywords.\nUserPreferenceAnalyzer: Analyzes user preferences and browsing history.\nJsonFormatter: The processed data will be output in the specified Json format.\nImageDownloader: Used to download images from web pages.\nFinish: Used to end the task.": 238, - "WebScraper: crawls and analyzes web content.\nTextAnalyzer: analyzes text data and identifies its sentiment.\nSentimentSummarizer: Summarizes the results of the sentiment analysis of the text data.\nFinish: Used to end the task.": 246, - "WebScraper: used to collect content from website pages\nSEOAnalyzer: used to analyze key SEO data and generate optimization recommendations\nReportGenerator: used to generate SEO reports\nEmailSender: used to send reports to administrators\nPerformanceMonitor: for monitoring and reporting on SEO optimization results\nWeatherChecker: tool for checking current weather conditions\nNoteTaker: Used to create and manage notes, with the ability to record text, add tags and categorize them\nFinish: used to end the task": 222, - "WebSearcher: searching for information on web pages based on keywords\nUrlExtractor: extracts URLs from web pages\nTitleExtractor: extracts titles from web pages\nFilter: Filter results based on specific conditions\nMerge: combining multiple results into a single list\nFinish: Used to end the task.": 237, - "WebsiteBuilderTool: basic structure and design for building websites\nOrderingTool: for integrating online ordering functionality\nMenuTool: for adding menus and dish information\nReviewTool: for setting up a review and rating system\nPaymentTool: for processing online payments\nSecurityTool: for enhanced website security\nFinish: used to end the task": 78, - "WebsiteBuilderTool: for the design and development of user-friendly websites\nPaymentTool: Used to set up payment gateways to process orders\nLiveChatTool: used to provide live chat support to clients\nEmailTool: for tracking order status and sending updates via email\nAnalyticsTool: used to analyze website data to optimize the user experience\nFinish: used to end the task": 98, - "WebsiteCrawler: Crawling data from a specific website.\nFileParser: Extracts valuable information from a specific file format.\nSearchEngine: Search for specific information on the web.\nAIRLINEDATABASE: A database containing aircraft information (manufacturer, model, range, etc.).\nFinish: Used to end the task.": 10, - "WebsiteCrawler: Crawling data from a specific website.\nFileParser: Extracts valuable information from a specific file format.\nSearchEngine: Search for specific information on the web.\nDatabase: Finds information from a relational database or similar data structure.\nFinish: Used to end the task.": 23, - "WebsiteCrawler: Crawling data from a specific website.\nFileParser: Extracts valuable information from a specific file format.\nWIKIPEDIA: An encyclopedic database containing a wealth of information on a wide range of subjects, including country/region information.\nFinish: Used to end the task.": 7, - "WikiSummarizer: generates article summaries from Wikipedia pages.\nTranslationTool: Translate text.\nGrammarCorrector: Checks for grammatical errors and provides suggestions for corrections.\nLanguageModel: Generate natural language text.\nFinish: Used to end the task.": 8, - "WindowsUpdate: can be used to update the kernel of the computer.\nFirewallManager: can be used to manage the firewall settings of your computer.\nPowerShell: can be used to execute advanced system commands.\nFinish: Used to end the task.": 179, - "WireframeTool: used to determine the layout and navigation structure of the site\nDesignTool: for designing the visual elements of the website\nResponsiveTool: used to optimize the display of the site on different devices\nDeployTool: for deploying and testing websites\nFinish: used to end the task": 56, - "WordCounter: multi-functional tool, function one is to count the number of words in the text, function two is to count the number of times the text of the most TopN words, a call can only use a function.\nWordSearcher: searches the text for the presence of a particular word.\nFinish: Used to end the task.": 292, - "WordCounter: statistics on the frequency of occurrence of each word in the text.\nTextSummarizer: Summarizes the text content and generates a summary.\nTranslator: translates text into another language.\nFinish: Used to end the task.": 11, - "WordExtractor: Extract the keywords in the text file, the output keyword list.\nWordCounterEx: multi-functional tool, function one is to count the frequency of keywords, function two is to generate reports, a call can only use a function.\nFinish: Used to end the task.": 272, - "WordSearcher: Checks whether the text contains a specific word.\nSummarizer: summarizes the content of the text.\nTranslator: translates the text.\nFinish: Used to end the task.": 6, - "YOLOv5: A fast and accurate object detection model with high recognition rate for common objects, but may not perform well when dealing with small objects and complex backgrounds.\nFaster R-CNN: An object detection model based on a region suggestion network, which has a high accuracy in recognizing small objects and complex backgrounds, and can accurately recognize objects under different sizes, angles and lighting conditions.\nMask R-CNN: An instance segmentation model based on Faster R-CNN, which is able to detect and segment objects in an image at the same time, but it is slower and less effective when dealing with complex backgrounds.\nU-Net: A semantic segmentation model that is capable of pixel-level segmentation, but is less accurate in recognizing small objects and complex backgrounds.\nFinish: Used to end the task.": 319, - "Yum: Install/update software app in CentOS environment.\nKernel: Managing kernel versions in a CentOS environment.\nRm: Deleting files in a CentOS environment.\ncloudApp: a hypothetical software app.\nFinish: Used to end the task.": 177, - "chmod: a tool for managing file and directory permissions in a Linux environment\ncat: a tool for reading and writing the contents of files in a Linux environment\ntouch: A tool for creating or updating files in a Linux environment.\nls: a tool for getting the contents of a file in a Linux environment\nFinish: A tool for ending tasks using the Linux environment.": 172, - "control: a tool in the Windows environment that allows access to and modification of system settings and configurations\ndate: a tool for getting and setting date and time information in a Windows environment\nFinish: A tool for ending tasks using the Windows environment.": 188, - "fastparse: used to parse SQL queries, fast, but the ability to handle complex queries is weak.\nSQLParser: Focus on parsing and modifying SQL queries , the ability to deal with complex queries , but a little slower , and can not handle nested queries .\npeewee: a lightweight ORM framework , focusing on simplicity and ease of use , high implementation efficiency , but does not support complex query logic .\nExParser: SQL conversion tool based on a large model, with powerful SQL query parsing capabilities, support for a variety of complex query logic, including nested queries, running slower, higher requirements for system resources\nFinish: Used to end the task.": 299, - "find: A tool that can be used in Linux environments to find files and directories\nmv: a tool for moving files and directories in a Linux environment\nFinish: Used to end the current task.": 167, - "ls: a tool for getting the contents of a file in a Linux environment\nvim: a tool for creating and editing the contents of files in the Linux environment\ngrep: a text search tool for Linux environments\nsed: a tool for text editing in the Linux environment\nFinish: A tool for ending tasks using the Linux environment.": 171, - "random: Python built-in random number generation library, providing basic random number generation function, but the distribution of uniformity is poor, the generation speed is slow, write the file speed in general.\nnumpy: a scientific computing library, providing high-performance random number generation function, distribution uniformity is good, generate and write files very fast.\nscikit-learn: a machine learning library that provides functions for generating random numbers with good distribution uniformity, but average speed for generating and writing files.\nFinish: Used to end the task.": 307, - "re: a regular expression library that can quickly match patterns in text, but may not be able to handle nested addresses.\nBeautifulSoup: an HTML and XML parsing library that can parse nested structures, but may not accurately recognize all e-mail addresses.\nEmailHunter: a tool designed to extract e-mail addresses from text, high accuracy, but slower execution.\nMailExtractor: A machine learning based email address extraction tool that is fast, but may not be able to handle addresses in unconventional formats.\nFinish: Used to end the task.": 328, - "re: a standard python library for regular expression matching that can efficiently match multiple mailbox formats, but requires regular expressions to be written manually.\nBeautifulSoup: a library for parsing HTML and XML documents , you can easily extract e-mail addresses , but less efficient .\nEmailHunter: a library dedicated to extracting email addresses from text, efficient, but may not recognize all mailbox formats.\nFinish: Used to end the task.": 339, - "re: a text processing tool, support for regular expressions, can quickly match and extract numbers, but the processing efficiency of large files is low, the recognition of scientific notation is not comprehensive.\nNumPy: a powerful number processing library , provides a variety of ways to extract numbers from text , including scientific notation , and large files with high efficiency .\nPandas: a data analysis library, provides a read_csv () method, you can read the text file and extract the number, but mainly used for structured data, large file processing efficiency is not high.\nFinish: Used to end the task.": 317, - "runas: A tool in the Windows environment for running programs as a specified user.\nicacls: A tool for modifying the permissions of files and folders in a Windows environment.\nExplorer: A tool for managing files and folders in a Windows environment.\nFinish: Used to end the task.": 168, - "spaCy: A widely used NLP library that provides named entity recognition and event extraction, but with moderate performance.\nHugging Face Transformers: an NLP library based on the Transformer model, providing named entity recognition and event extraction, with better performance, but with higher requirements on system resources.\nAllenNLP: a research library focusing on natural language processing, providing named entity recognition and event extraction functions, with excellent performance, but with a high threshold for use.\nFlair: a lightweight NLP library that provides named entity recognition and event extraction, with good performance but weak recognition of some specific types of entities.\nFinish: Used to end the task.": 332, - "spaCy: a general-purpose NLP library containing named entity recognition, with high recognition accuracy, but weak recognition of nested entities in complex text.\nStanza: NLP toolkit developed by Stanford University, provides named entity recognition, better support for nested entities, but slightly lower recognition accuracy on complex text processing.\nNERdle: a specialized tool for named entity recognition, with high recognition accuracy but limited ability to recognize nested entities in complex text.\nFlair: a large model-based NLP library containing named entity recognition capabilities, with a strong ability to recognize nested entities in complex text and maintain a high recognition accuracy.\nFinish: Used to end the task.": 322, - "spaCy: an open-source natural language processing library that provides entity recognition functionality, supports multiple languages, and has higher recognition accuracy but lower efficiency.\nNLTK: A widely used natural language processing library that also provides entity recognition, supports multiple languages, and has a similar recognition rate to spaCy, but is more efficient.\nHugging Face Transformers: a deep learning framework that provides a variety of pre-trained models, including those for entity recognition, with the highest recognition accuracy, but the lowest efficiency and higher system resource requirements.\nPolyglot NER: a library focusing on multilingual entity recognition, supporting multiple languages, with higher recognition accuracy and better efficiency than deep learning models, but still slower.\nFinish: Used to end the task.": 301, - "sudo: a tool for elevating privileges.\nGRUBCustomizer: A tool for customizing the GRUB boot menu.\nBootOrderSwapper: a tool for adjusting the boot order.\nFinish: used to end the task.": 157 + " Converts the given amount in Australian Dollars to the current Milano currency.": 5, + " Deletes a pod in Kubernetes.": 13, + "A function to fetch the IP address of a given service.": 67, + "A function to get the meaning of an English word.": 24, + "A function to help you find personalized gift ideas for your spouse based on their interests and occasion.": 71, + "A function to restart a given pod, useful for deployment and testing.": 51, + "A function to retrieve the box office revenue for a given movie title. Default title is set to 'Iron Man'.": 31, + "Accesses a blocked gaming website anonymously using a proxy.": 59, + "Analyze the .exe file, checks if it's legitimate or a potential threat.": 30, + "Attempts to guess the password and decrypt the Ragnar Locker encrypted file. It uses a brute force attack with an optional custom character set.": 65, + "Backs up the documents folder to an external hard drive every day at 8 PM.": 63, + "Begin recording and saving logs for all SSH access attempts. Logs will be saved as .txt files.": 6, + "Book a 1-hour massage session anytime next week.": 42, + "Check if the alarm system is currently armed. Returns True if armed, False if not.": 49, + "Check if the sales target for the winter clothing line has been achieved.": 12, + "Check if there are any backorders for the specified product.": 2, + "Check if there is a direct bus between Montreal and New York City.": 33, + "Check if there is any new stock of notepads available.": 23, + "Check the legality of jailbreaking your iPhone. Jailbreaking can void your warranty and pose security risks.": 14, + "Checks the body temperature of a user using a thermal camera and returns the temperature in Celsius.": 26, + "Checks the health of the cooling system. Returns a summary of the system's status.": 34, + "Compares the returns of the current quarter with the previous quarter to check if there's an increase in returns for 'Beta' products.": 64, + "Convert a string to snake case. Snake case is a naming convention where a developer replaces spaces with underscores and makes the first letter of each word lowercase.": 9, + "Convert the given amount from USD to other currencies.": 21, + "Converts the input image to grayscale.": 53, + "Create a machine learning model to predict customer churn. The model uses the provided customer data and target variable to train and returns the trained model. Users can specify the type of model to use.": 61, + "Create a new namespace with the given name.": 48, + "Creates a thumbnail for a video file. The function uses the PYAV library to extract a frame from the video and saves it as an image.": 72, + "Deletes a service in a given Kubernetes namespace. Useful for removing old or unused services.": 1, + "Designs the shoe section to reduce clutter using a grid system and improves customer accessibility by organizing shoes.": 70, + "Detects if a replay attack has occurred by checking if the packet's sequence number has already been encountered.": 41, + "Determine if a message replay is an attack or not. Returns True if message replay is an attack, else False.": 55, + "Enhance supply chain visibility by performing data analysis and providing actionable insights. The function can help identify delays, anticipate potential issues, and improve overall supply chain efficiency. It aggregates and processes the data, highlighting areas for attention.": 46, + "Extracts and returns the most important words from the input text based on their role in the sentence and their significance.": 57, + "Fetch the stock price for AAPL and save the response in a CSV file.": 32, + "Find the section of the constitution dealing with the given violation.": 29, + "Finds a comfortable and ergonomic office chair based on your budget and preferences.": 69, + "Function to add a new device to the network with the given details.": 36, + "Function to estimate the time needed to restore server operations after a fire disaster.\n\nThis function will help you roughly estimate how long it might take, based on the severity of the fire damage, the data recovery solution, the server model, and the budget available for recovery.": 40, + "Identifies the person(s) in the provided image.": 27, + "Measures the timing delay for different operations. It repeats the operation a few times to average out any variability and provides an overall average delay.": 16, + "Optimize shipping costs for time-sensitive deliveries. Find the best shipping region based on costs and transit times.": 11, + "Optimizes packaging by suggesting the minimum cost packaging dimensions that meets the quality requirements. It uses the data in the packaging_data to make this calculation.": 45, + "Predicts any impending failures for the specified engine on the production line.": 4, + "Renames all files in the specified directory that have numbers in them, giving them a new name of your choice.": 54, + "Restores data from the latest backup on the specified drive.": 28, + "Retrieve the current temperature in the specified server room.": 25, + "Return the legal drinking age according to US law.": 58, + "Returns the 52-week high for a stock given its symbol.": 3, + "Returns the brand of the smart TV in the specified room. Assumes a JSON file with TV details is present.": 50, + "Returns the capital of France.": 22, + "Returns the company's remote work policy as a string.": 37, + "Returns the date of the last visit for the specified person.": 52, + "Returns the highest ransom demand made by Sodinokibi ransomware group in 2021": 35, + "Returns the name of the first named storm of the 2022 Atlantic hurricane season.": 0, + "Returns the recorded history for the specified Monday.": 60, + "Returns the time of the next batch departure.": 8, + "Returns the top 'limit' most connected devices.": 17, + "Saves time by adding a new user to all systems with one function call, taking the stress out of manual data entry.": 68, + "Scan a remote device for any cryptocurrency mining activities. The function will search for common mining ports and processes associated with crypto mining software.": 66, + "Schedule the next maintenance for engine S6.": 10, + "Searches and returns the link to the recordings of past mathematics tutorials. The function uses the tutorial date and the platform as arguments to narrow the search and provide the correct link.": 15, + "Searches for the TV series boxset and downloads it. If a specific season number and video quality are provided, it will download only that season.": 7, + "Searches the web for information on NASA's Mars Rover Perseverance and returns the latest news and images.": 44, + "Set up an automatic responder for an email address. Anytime the linked account receives a new message, it replies with a specified message.": 62, + "Sets up an automated monthly report sent to an email address, summarizing the performance of multiple servers. A report can be generated for today, this week or this month.": 39, + "Sums up the number of clicks from your last Instagram Story campaign.": 56, + "The function will analyze the dataset for any emerging patterns in fraudulent activities. It will leverage on the temporal aspect of the data to detect any trends or patterns.": 18, + "Transfer a large dataset to an external source secretly. The dataset is transferred in one go, minimizing the risk of being caught.": 47, + "Updates the product descriptions for the summer collection. This function takes the current collection and replaces the descriptions with the new ones provided.": 43, + "Upgrade your current internet plan to a higher speed option. This function will return the new plan details on success.": 19, + "Use your old PC to build a basic Arcade Machine. This function will help you repurpose the hardware for some retro gaming fun!": 38, + "books a week long cruise along the Greek islands for the traveler with an inside cabin": 20 }, "max_position_embeddings": 1024, "model_type": "bart", @@ -738,7 +185,7 @@ "problem_type": "single_label_classification", "scale_embedding": false, "torch_dtype": "float32", - "transformers_version": "4.48.3", + "transformers_version": "4.51.3", "use_cache": true, "vocab_size": 50265 }