COIG-CQIA
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Author: hf-mirror · License: unspecified (community upload, no license tag — default HF terms) · Format: jsonl
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COIG-CQIA (m-a-p): the Chinese Open Instruction Generalist quality-filtered split — ~48k high-quality Chinese instruction sources spanning academia, government, exams, and media, widely used for Chinese-language SFT. No license tag upstream (default HF terms).
Description
COIG-CQIA (m-a-p): the Chinese Open Instruction Generalist quality-filtered split — ~48k high-quality Chinese instruction sources spanning academia, government, exams, and media, widely used for Chinese-language SFT. No license tag upstream (default HF terms).
Download
Direct download: https://huggingface.co/datasets/m-a-p/COIG-CQIA/tree/main
Or via the API: curl -L -o file "https://huggingface.co/datasets/m-a-p/COIG-CQIA/tree/main"
Files
- COIG-CQIA-full.jsonl (149,472,971)
- chinese_traditional/chengyu.jsonl (82,480)
- chinese_traditional/poem.jsonl (30,018)
- chinese_traditional/trad-multi-choice-100-2.jsonl (58,480)
- chinese_traditional/trad-multi-choice-100.jsonl (59,864)
- chinese_traditional/trad-multi-choice-40.jsonl (40,859)
- chinese_traditional/translate_classical_chinese.jsonl (649,287)
- coig_pc/coig_pc_core_sample.jsonl (4,624,040)
- douban/book_introduce.jsonl (718,502)
- douban/book_reviews.jsonl (464,357)
- douban/movie_anime_synopsis_more_prompt.jsonl (636,004)
- douban/movie_documentary_synopsis_more_prompt.jsonl (134,284)
- douban/movie_recommendation.jsonl (53,315)
- douban/movie_recommendation2.jsonl (21,016)
- douban/movie_reviews.jsonl (918,882)
- douban/movie_synopsis_more_prompt.jsonl (627,854)
- douban/tv_anime_synopsis_more_prompt.jsonl (732,188)
- douban/tv_documentary_synopsis_more_prompt.jsonl (93,518)
- douban/tv_recommendation.jsonl (20,332)
- douban/tv_recommendation2.jsonl (16,056)
- douban/tv_reviews.jsonl (686,151)
- douban/tv_synopsis_more_prompt.jsonl (727,838)
- exam/coig_exam_sampled_clean_v3.jsonl (3,122,258)
- exam/kaoyan.jsonl (502,901)
- exam/law_gee_exam_clean_v2.jsonl (2,807,330)
- finance/finance_coig_pc.jsonl (1,728,038)
- finance/mba_baike.jsonl (69,117,801)
- human_value/100poison.jsonl (891,302)
- human_value/coig_human_value_multi_choice.jsonl (90,853)
- logi_qa/logi-qa.jsonl (573,430)
- ruozhiba/ruozhiba_ruozhiba.jsonl (267,306)
- segmentfault/segmentfault_upvote5_clean.jsonl (891,367)
- wiki/10why_final.jsonl (242,877)
- wiki/51zyzy.jsonl (264,802)
- wiki/agriculture.jsonl (953,005)
- wiki/baobao.jsonl (171,449)
- wiki/bkmy_medicine.jsonl (19,613,744)
- wiki/bkmy_symptom.jsonl (2,179,111)
- wiki/digital_wiki.jsonl (318,891)
- wiki/zgbk.jsonl (5,653,878)
- wikihow/wikihow.jsonl (11,519,024)
- xhs/xhs.jsonl (2,792,512)
- zhihu/zhihu_expansion.jsonl (446,198)
- zhihu/zhihu_score8.0-8.5_clean_v3.jsonl (3,236,988)
- zhihu/zhihu_score8.5-9.0_clean_v4.jsonl (3,346,303)
- zhihu/zhihu_score9.0-10_clean_v10.jsonl (7,364,243)
Added 2026-09-27. Platform: Distillio — the open source training data collective.