ought/raft download history
ought/raft is a text classification dataset on the Hugging Face Hub. In the last 30 days it was downloaded 2,575 times (566 in the last 7 days), and 433,803 times in total. It ranks #9,378 among datasets by monthly downloads.
Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classification tasks that have so far been reserved for human research assistants? [RAFT](https://raft.elicit.org) is a few-shot c
Models trained on raft
11 models list it as training data.
- davidschulte/ESM_ought__raft_tai_safety_research 20 downloads in 30 days
- davidschulte/ESM_ought__raft_terms_of_service 18 downloads in 30 days
- davidschulte/ESM_ought__raft_tweet_eval_hate 14 downloads in 30 days
- davidschulte/ESM_ought__raft_overruling 13 downloads in 30 days
- davidschulte/ESM_ought__raft_twitter_complaints 10 downloads in 30 days
- davidschulte/ESM_ought__raft_one_stop_english 9 downloads in 30 days
- davidschulte/ESM_ought__raft_systematic_review_inclusion 9 downloads in 30 days
- davidschulte/ESM_ought__raft_banking_77 9 downloads in 30 days
- davidschulte/ESM_ought__raft_ade_corpus_v2 9 downloads in 30 days
- davidschulte/ESM_ought__raft_semiconductor_org_types 7 downloads in 30 days
- davidschulte/ESM_ought__raft_neurips_impact_statement_risks 6 downloads in 30 days
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