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asahi417/multi-domain-document-classification

multi_domain_document_classification Multi-domain document classification datasets. Biomedical: chemprot, rct-sample Computer Science: citation_intent, sciie Customer Review: amcd, yelp_review Social Media: tweet_eval_irony, tweet_eval_hate, tweet_eval_emotion The yelp_review dataset is randomly downsampled to 2000/2000/8000 for test/validation/train. chemprot citation_intent hyperpartisan_news rct_sample sciie amcd yelp_review tweet_eval_irony tweet_eval_hate… See the full description on the dataset page: https://huggingface.co/datasets/asahi417/multi-domain-document-classification.

sourceHugging Faceupdated 4y agoView on Hugging Face

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multidomaindocument_classification

Multi-domain document classification datasets.

—Biomedical: chemprot, rct-sample
—Computer Science: citation_intent, sciie
—Customer Review: amcd, yelp_review
—Social Media: tweet_eval_irony, tweet_eval_hate, tweet_eval_emotion

The yelp_review dataset is randomly downsampled to 2000/2000/8000 for test/validation/train.

	chemprot	citation_intent	hyperpartisan_news	rct_sample	sciie	amcd	yelp_review	tweet_eval_irony	tweet_eval_hate	tweet_eval_emotion
word/validation	32	40	502	26	32	20	132	13	24	15
word/test	32	42	612	26	32	19	131	14	21	15
word/train	31	42	536	26	32	19	133	13	20	16
instance/validation	2427	114	64	30212	455	666	2000	955	1000	374
instance/test	3469	139	65	30135	974	1334	2000	784	2970	1421
instance/train	4169	1688	516	500	3219	8000	6000	2862	9000	3257