Upload self-annotated_reddit_climate_comment.py

self-annotated_reddit_climate_comment.py

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+import csv
+import json
+import os
+from datasets import GeneratorBasedBuilder, Features, Value, Sequence, SplitGenerator, BuilderConfig, DatasetInfo, Split, Image
+import logging
+import pandas as pd
+from typing import Dict
+
+CITATION = ""
+_DESCRIPTION = "Demo" 
+_HOMEPAGE = "https://huggingface.co/datasets/SarcasmNet/self-annotated_reddit_climate_comment"
+_LICENSE = "MIT"
+
+_URL = "https://github.com/catherine-ywang/Reddit-Climate-Environment-Sarcasm-Self-Annotated-Data/raw/main/self_annotated_comments.csv"
+
+class NewDataset(GeneratorBasedBuilder):
+    def _info(self):
+        return DatasetInfo(
+            description=_DESCRIPTION,
+            features=Features({
+         "id": Value("string"),
+         "post_title": Value("string"),
+         "post_author": Value("string"),
+         "post_body": Value("string"),
+         "post_url": Value("string"),
+         "post_pic": Image(),
+         "subreddit": Value("string"),
+         "post_timestamp": Value("string"),
+         "post_upvotes": Value("int32"),
+         "post_permalink": Value("string"),
+         "comments": Sequence({
+             "CommentID": Value("string"),
+             "CommentAuthor": Value("string"),
+             "CommentBody": Value("string"),
+             "CommentTimestamp": Value("string"),
+             "CommentUpvotes": Value("int32"),
+             "CommentPermalink": Value("string"),
+             "CommentLink": Value("int32")
+         })
+     }),
+            homepage=_HOMEPAGE,
+        )
+    def _split_generators(self, dl_manager):
+        path = dl_manager.download_and_extract(_URL)
+        train_splits = SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": path+"/self_annotated_comments.csv"})
+        return [train_splits]
+        
+    def _generate_examples(self, filepath):
+        df = pd.read_csv(filepath)
+        for column in df.columns:
+            df[column] = df[column].replace({pd.NA: None})
+        # Group the DataFrame by post ID
+        grouped_df = df.groupby('PostID')
+
+        for post_id, group in grouped_df:
+            post_data = group.iloc[0]  # Get the data for the post
+
+            post_title = post_data['PostTitle']
+            post_author = post_data['PostAuthor']
+            post_body = post_data['PostBody']
+            post_url = post_data['PostUrl']
+            post_pic = post_data['PostPic']
+            subreddit = post_data['Subreddit']
+            post_timestamp = post_data['PostTimestamp']
+            post_upvotes = post_data['PostUpvotes']
+            post_permalink = post_data['PostPermalink']
+
+            comments = []
+
+            # Iterate over each unique comment ID
+            for comment_id in group['CommentID'].unique():
+                comment_data = group[group['CommentID'] == comment_id].iloc[0]
+
+                comment_author = comment_data['CommentAuthor']
+                comment_body = comment_data['CommentBody']
+                comment_timestamp = comment_data['CommentTimestamp']
+                comment_upvotes = comment_data['CommentUpvotes']
+                comment_permalink = comment_data['CommentPermalink']
+                comment_label = comment_data['CommentLabel']
+
+                # Add comment with its replies to the list
+                comment = {
+                    "CommentID": comment_id,
+                    "CommentAuthor": comment_author,
+                    "CommentBody": comment_body,
+                    "CommentTimestamp": comment_timestamp,
+                    "CommentUpvotes": comment_upvotes,
+                    "CommentPermalink": comment_permalink,
+                    "CommentLabel": comment_label
+                }
+                comments.append(comment)
+            
+            example = {
+                "id": post_id,
+                "post_title": post_title,
+                "post_author": post_author,
+                "post_body": post_body,
+                "post_url": post_url,
+                "post_pic": post_pic,
+                "subreddit": subreddit,
+                "post_timestamp": post_timestamp,
+                "post_upvotes": post_upvotes,
+                "post_permalink": post_permalink,
+                "comments": comments
+            }
+
+            yield post_id, example
+            
+            
+