feat: 🎸 unblock datasets with 200 downloads or more
GEM/BiSECT,GEM/references,GEM/xsum,HuggingFaceM4/charades,Karavet/ILUR-news-text-classification-corpus,Lacito/pangloss,SaulLu/Natural_Questions_HTML_reduced_all,SetFit/mnli,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,angelolab/ark_example,ashraq/dhivehi-corpus,bigbio/ebm_pico,bnl_newspapers,castorini/msmarco_v1_passage_doc2query-t5_expansions,chenghao/scielo_books,clarin-pl/multiwiki_90k,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,hebrew_projectbenyehuda,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,mozilla-foundation/common_voice_1_0,mteb/results,mteb/tatoeba-bitext-mining,nlphuji/winogavil,shunk031/cocostuff,shunk031/livedoor-news-corpus,society-ethics/lila_camera_traps,tab_fact,vblagoje/wikipedia_snippets_streamed

I did not remove the datasets
echarlaix/vqa,Graphcore/gqa,Graphcore/vqa,echarlaix/gqa-lxmert,Graphcore/gqa-lxmert,etc. because I remember they use far too much RAM.

Done with https://observablehq.com/@huggingface/blocked-datasets
feat: 🎸 unblock datasets with 200 downloads or more: GEM/BiSECT,GEM/references,GEM/xsum,HuggingFaceM4/charades,Karavet/ILUR-news-text-classification-corpus,Lacito/pangloss,SaulLu/Natural_Questions_HTML_reduced_all,SetFit/mnli,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,angelolab/ark_example,ashraq/dhivehi-corpus,bigbio/ebm_pico,bnl_newspapers,castorini/msmarco_v1_passage_doc2query-t5_expansions,chenghao/scielo_books,clarin-pl/multiwiki_90k,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,hebrew_projectbenyehuda,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,mozilla-foundation/common_voice_1_0,mteb/results,mteb/tatoeba-bitext-mining,nlphuji/winogavil,shunk031/cocostuff,shunk031/livedoor-news-corpus,society-ethics/lila_camera_traps,tab_fact,vblagoje/wikipedia_snippets_streamed

I did not remove the datasets
echarlaix/vqa,Graphcore/gqa,Graphcore/vqa,echarlaix/gqa-lxmert,Graphcore/gqa-lxmert,etc. because I remember they use far too much RAM.

Done with https://observablehq.com/@huggingface/blocked-datasets