Dataset Card for sds_section1_extraction

This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.

Using this dataset with Argilla

To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:

import argilla as rg

ds = rg.Dataset.from_hub("Eshwar14/sds_section1_extraction", settings="auto")

This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.

Using this dataset with datasets

To load the records of this dataset with datasets, you'll just need to install datasets as pip install datasets --upgrade and then use the following code:

from datasets import load_dataset

ds = load_dataset("Eshwar14/sds_section1_extraction")

This will only load the records of the dataset, but not the Argilla settings.

Dataset Structure

This dataset repo contains:

• Dataset records in a format compatible with HuggingFace datasets. These records will be loaded automatically when using rg.Dataset.from_hub and can be loaded independently using the datasets library via load_dataset.
• The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.
• A dataset configuration folder conforming to the Argilla dataset format in .argilla.

The dataset is created in Argilla with: fields, questions, suggestions, metadata, vectors, and guidelines.

Fields

The fields are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.

Field Name	Title	Type	Required
text	SDS Document Text	text	True

Questions

The questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.

Question Name	Title	Type	Required	Description	Values/Labels
product_name	Product Name	text	True	Extract the product identifier or name	N/A
chemical_name	Chemical Name	text	False	Extract chemical name if available, else 'No data available'	N/A
product_use	Product Use	text	False	Extract relevant identified uses	N/A
prohibited_use	Prohibited Use	text	False	Extract uses advised against	N/A
cas_number	CAS Number	text	False	Extract CAS registry number if present	N/A
reach_number	REACH Number	text	False	Extract REACH registration number if present	N/A
supplier1_name	Supplier 1 - Company Name	text	True	First supplier company name	N/A
supplier1_address	Supplier 1 - Address	text	True	Full address (use \n for line breaks)	N/A
supplier1_country	Supplier 1 - Country Name	text	True	N/A	N/A
supplier1_country_code	Supplier 1 - Country Code	text	True	2-3 letter code (e.g., NL, USA)	N/A
supplier1_phone	Supplier 1 - Phone	text	False	N/A	N/A
supplier1_emergency	Supplier 1 - Emergency Phone	text	False	N/A	N/A
supplier1_email	Supplier 1 - Email	text	False	N/A	N/A
supplier2_name	Supplier 2 - Company Name	text	False	Second supplier (if exists)	N/A
supplier2_address	Supplier 2 - Address	text	False	N/A	N/A
supplier2_country	Supplier 2 - Country Name	text	False	N/A	N/A
supplier2_country_code	Supplier 2 - Country Code	text	False	N/A	N/A
supplier2_phone	Supplier 2 - Phone	text	False	N/A	N/A
supplier2_emergency	Supplier 2 - Emergency Phone	text	False	N/A	N/A
supplier2_email	Supplier 2 - Email	text	False	N/A	N/A

Data Splits

The dataset contains a single split, which is train.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

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Annotations

Annotation guidelines

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Annotation process

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Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

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Contributions

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