McGill-NLP/stereoset download history
McGill-NLP/stereoset is a text classification dataset on the Hugging Face Hub. In the last 30 days it was downloaded 6,230 times (1,285 in the last 7 days), and 94,590 times in total. It ranks #4,729 among datasets by monthly downloads.
Dataset Card for StereoSet Dataset Summary StereoSet is a dataset that measures stereotype bias in language models. StereoSet consists of 17,000 sentences that measures model preferences across gender, race, religion, and profession. Supported Tasks and Leaderboards
Models trained on stereoset
7 models list it as training data.
- ufal/DAMA-7B 32 downloads in 30 days
- ufal/DAMA-13B 21 downloads in 30 days
- ufal/DAMA-65B 19 downloads in 30 days
- ufal/DAMA-33B 16 downloads in 30 days
- davidschulte/ESM_McGill-NLP__stereoset_intrasentence 13 downloads in 30 days
- AymanKhan/bias-model-stereoset 11 downloads in 30 days
- davidschulte/ESM_McGill-NLP__stereoset_intersentence 11 downloads in 30 days