Upload self-annotated_reddit_climate_comment.py
Browse files
self-annotated_reddit_climate_comment.py
CHANGED
@@ -18,32 +18,30 @@ class NewDataset(GeneratorBasedBuilder):
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return DatasetInfo(
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description=_DESCRIPTION,
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features=Features({
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homepage=_HOMEPAGE,
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)
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def _split_generators(self, dl_manager):
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train_splits = SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": path+"/self_annotated_comments.csv"})
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return [train_splits]
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def _generate_examples(self, filepath):
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df = pd.read_csv(filepath)
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@@ -105,6 +103,7 @@ class NewDataset(GeneratorBasedBuilder):
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}
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yield post_id, example
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return DatasetInfo(
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description=_DESCRIPTION,
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features=Features({
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"id": Value("string"),
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"post_title": Value("string"),
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"post_author": Value("string"),
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"post_body": Value("string"),
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"post_url": Value("string"),
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"post_pic": Image(),
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"subreddit": Value("string"),
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"post_timestamp": Value("string"),
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"post_upvotes": Value("int32"),
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"post_permalink": Value("string"),
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"comments": Sequence({
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"CommentID": Value("string"),
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"CommentAuthor": Value("string"),
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"CommentBody": Value("string"),
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"CommentTimestamp": Value("string"),
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"CommentUpvotes": Value("int32"),
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"CommentPermalink": Value("string"),
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"CommentLink": Value("int32")
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})
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}),
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homepage=_HOMEPAGE,
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)
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def _split_generators(self, dl_manager):
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return [SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": dl_manager.download(_URL)})]
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def _generate_examples(self, filepath):
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df = pd.read_csv(filepath)
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}
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yield post_id, example
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