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# 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 | 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 | |