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| { | |
| "alpaca_en": { | |
| "file_name": "alpaca_data_en_52k.json", | |
| "file_sha1": "607f94a7f581341e59685aef32f531095232cf23" | |
| }, | |
| "alpaca_zh": { | |
| "file_name": "alpaca_data_zh_51k.json", | |
| "file_sha1": "0016a4df88f523aad8dc004ada7575896824a0dc" | |
| }, | |
| "alpaca_gpt4_en": { | |
| "file_name": "alpaca_gpt4_data_en.json", | |
| "file_sha1": "647f4ad447bd993e4b6b6223d1be15208bab694a" | |
| }, | |
| "alpaca_gpt4_zh": { | |
| "file_name": "alpaca_gpt4_data_zh.json", | |
| "file_sha1": "3eaa3bda364ccdd59925d7448a698256c31ef845" | |
| }, | |
| "self_cognition": { | |
| "file_name": "self_cognition.json", | |
| "file_sha1": "6287a730ada924fc5d9eadc6d8f865e01b7a6f67" | |
| }, | |
| "oaast_sft": { | |
| "file_name": "oaast_sft.json", | |
| "file_sha1": "7baf5d43e67a91f9bbdf4e400dbe033b87e9757e", | |
| "columns": { | |
| "prompt": "instruction", | |
| "query": "input", | |
| "response": "output", | |
| "history": "history" | |
| } | |
| }, | |
| "oaast_sft_zh": { | |
| "file_name": "oaast_sft_zh.json", | |
| "file_sha1": "a6a91f18f80f37b10ded9cf633fb50c033bf7b9f", | |
| "columns": { | |
| "prompt": "instruction", | |
| "query": "input", | |
| "response": "output", | |
| "history": "history" | |
| } | |
| }, | |
| "lima": { | |
| "file_name": "lima.json", | |
| "file_sha1": "9db59f6b7007dc4b17529fc63379b9cd61640f37", | |
| "columns": { | |
| "prompt": "instruction", | |
| "query": "input", | |
| "response": "output", | |
| "history": "history" | |
| } | |
| }, | |
| "glaive_toolcall": { | |
| "file_name": "glaive_toolcall_10k.json", | |
| "file_sha1": "a6917b85d209df98d31fdecb253c79ebc440f6f3", | |
| "formatting": "sharegpt", | |
| "columns": { | |
| "messages": "conversations", | |
| "tools": "tools" | |
| } | |
| }, | |
| "example": { | |
| "script_url": "example_dataset", | |
| "columns": { | |
| "prompt": "instruction", | |
| "query": "input", | |
| "response": "output", | |
| "history": "history" | |
| } | |
| }, | |
| "guanaco": { | |
| "hf_hub_url": "JosephusCheung/GuanacoDataset", | |
| "ms_hub_url": "AI-ModelScope/GuanacoDataset" | |
| }, | |
| "belle_2m": { | |
| "hf_hub_url": "BelleGroup/train_2M_CN", | |
| "ms_hub_url": "AI-ModelScope/train_2M_CN" | |
| }, | |
| "belle_1m": { | |
| "hf_hub_url": "BelleGroup/train_1M_CN", | |
| "ms_hub_url": "AI-ModelScope/train_1M_CN" | |
| }, | |
| "belle_0.5m": { | |
| "hf_hub_url": "BelleGroup/train_0.5M_CN", | |
| "ms_hub_url": "AI-ModelScope/train_0.5M_CN" | |
| }, | |
| "belle_dialog": { | |
| "hf_hub_url": "BelleGroup/generated_chat_0.4M", | |
| "ms_hub_url": "AI-ModelScope/generated_chat_0.4M" | |
| }, | |
| "belle_math": { | |
| "hf_hub_url": "BelleGroup/school_math_0.25M", | |
| "ms_hub_url": "AI-ModelScope/school_math_0.25M" | |
| }, | |
| "belle_multiturn": { | |
| "script_url": "belle_multiturn", | |
| "formatting": "sharegpt" | |
| }, | |
| "ultra_chat": { | |
| "script_url": "ultra_chat", | |
| "formatting": "sharegpt" | |
| }, | |
| "open_platypus": { | |
| "hf_hub_url": "garage-bAInd/Open-Platypus", | |
| "ms_hub_url": "AI-ModelScope/Open-Platypus" | |
| }, | |
| "codealpaca": { | |
| "hf_hub_url": "sahil2801/CodeAlpaca-20k", | |
| "ms_hub_url": "AI-ModelScope/CodeAlpaca-20k" | |
| }, | |
| "alpaca_cot": { | |
| "hf_hub_url": "QingyiSi/Alpaca-CoT", | |
| "ms_hub_url": "AI-ModelScope/Alpaca-CoT" | |
| }, | |
| "openorca": { | |
| "hf_hub_url": "Open-Orca/OpenOrca", | |
| "ms_hub_url": "AI-ModelScope/OpenOrca", | |
| "columns": { | |
| "prompt": "question", | |
| "response": "response", | |
| "system": "system_prompt" | |
| } | |
| }, | |
| "mathinstruct": { | |
| "hf_hub_url": "TIGER-Lab/MathInstruct", | |
| "ms_hub_url": "AI-ModelScope/MathInstruct", | |
| "columns": { | |
| "prompt": "instruction", | |
| "response": "output" | |
| } | |
| }, | |
| "firefly": { | |
| "hf_hub_url": "YeungNLP/firefly-train-1.1M", | |
| "columns": { | |
| "prompt": "input", | |
| "response": "target" | |
| } | |
| }, | |
| "webqa": { | |
| "hf_hub_url": "suolyer/webqa", | |
| "ms_hub_url": "AI-ModelScope/webqa", | |
| "columns": { | |
| "prompt": "input", | |
| "response": "output" | |
| } | |
| }, | |
| "webnovel": { | |
| "hf_hub_url": "zxbsmk/webnovel_cn", | |
| "ms_hub_url": "AI-ModelScope/webnovel_cn" | |
| }, | |
| "nectar_sft": { | |
| "hf_hub_url": "mlinmg/SFT-Nectar" | |
| }, | |
| "deepctrl": { | |
| "ms_hub_url": "deepctrl/deepctrl-sft-data" | |
| }, | |
| "adgen": { | |
| "hf_hub_url": "HasturOfficial/adgen", | |
| "ms_hub_url": "AI-ModelScope/adgen", | |
| "columns": { | |
| "prompt": "content", | |
| "response": "summary" | |
| } | |
| }, | |
| "sharegpt_hyper": { | |
| "hf_hub_url": "totally-not-an-llm/sharegpt-hyperfiltered-3k", | |
| "formatting": "sharegpt" | |
| }, | |
| "sharegpt4": { | |
| "hf_hub_url": "shibing624/sharegpt_gpt4", | |
| "ms_hub_url": "AI-ModelScope/sharegpt_gpt4", | |
| "formatting": "sharegpt" | |
| }, | |
| "ultrachat_200k": { | |
| "hf_hub_url": "HuggingFaceH4/ultrachat_200k", | |
| "ms_hub_url": "AI-ModelScope/ultrachat_200k", | |
| "columns": { | |
| "messages": "messages" | |
| }, | |
| "tags": { | |
| "role_tag": "role", | |
| "content_tag": "content", | |
| "user_tag": "human", | |
| "assistant_tag": "assistant" | |
| }, | |
| "formatting": "sharegpt" | |
| }, | |
| "agent_instruct": { | |
| "hf_hub_url": "THUDM/AgentInstruct", | |
| "ms_hub_url": "ZhipuAI/AgentInstruct", | |
| "formatting": "sharegpt" | |
| }, | |
| "lmsys_chat": { | |
| "hf_hub_url": "lmsys/lmsys-chat-1m", | |
| "ms_hub_url": "AI-ModelScope/lmsys-chat-1m", | |
| "columns": { | |
| "messages": "conversation" | |
| }, | |
| "tags": { | |
| "role_tag": "role", | |
| "content_tag": "content", | |
| "user_tag": "human", | |
| "assistant_tag": "assistant" | |
| }, | |
| "formatting": "sharegpt" | |
| }, | |
| "evol_instruct": { | |
| "hf_hub_url": "WizardLM/WizardLM_evol_instruct_V2_196k", | |
| "formatting": "sharegpt" | |
| }, | |
| "hh_rlhf_en": { | |
| "script_url": "hh_rlhf_en", | |
| "columns": { | |
| "prompt": "instruction", | |
| "response": "output", | |
| "history": "history" | |
| }, | |
| "ranking": true | |
| }, | |
| "oaast_rm": { | |
| "file_name": "oaast_rm.json", | |
| "file_sha1": "622d420e9b70003b210618253bd3d9d2891d86cb", | |
| "columns": { | |
| "prompt": "instruction", | |
| "query": "input", | |
| "response": "output", | |
| "history": "history" | |
| }, | |
| "ranking": true | |
| }, | |
| "oaast_rm_zh": { | |
| "file_name": "oaast_rm_zh.json", | |
| "file_sha1": "1065af1f3784dd61be5e79713a35f427b713a232", | |
| "columns": { | |
| "prompt": "instruction", | |
| "query": "input", | |
| "response": "output", | |
| "history": "history" | |
| }, | |
| "ranking": true | |
| }, | |
| "comparison_gpt4_en": { | |
| "file_name": "comparison_gpt4_data_en.json", | |
| "file_sha1": "96fa18313544e22444fe20eead7754b17da452ae", | |
| "ranking": true | |
| }, | |
| "comparison_gpt4_zh": { | |
| "file_name": "comparison_gpt4_data_zh.json", | |
| "file_sha1": "515b18ed497199131ddcc1af950345c11dc5c7fd", | |
| "ranking": true | |
| }, | |
| "nectar_rm": { | |
| "hf_hub_url": "mlinmg/RLAIF-Nectar", | |
| "ranking": true | |
| }, | |
| "wiki_demo": { | |
| "file_name": "wiki_demo.txt", | |
| "file_sha1": "e70375e28eda542a90c68213640cc371898ce181", | |
| "columns": { | |
| "prompt": "text" | |
| } | |
| }, | |
| "c4_demo": { | |
| "file_name": "c4_demo.json", | |
| "file_sha1": "a5a0c86759732f9a5238e447fecd74f28a66cca8", | |
| "columns": { | |
| "prompt": "text" | |
| } | |
| }, | |
| "refinedweb": { | |
| "hf_hub_url": "tiiuae/falcon-refinedweb", | |
| "columns": { | |
| "prompt": "content" | |
| } | |
| }, | |
| "redpajama_v2": { | |
| "hf_hub_url": "togethercomputer/RedPajama-Data-V2", | |
| "columns": { | |
| "prompt": "raw_content" | |
| }, | |
| "subset": "default" | |
| }, | |
| "wikipedia_en": { | |
| "hf_hub_url": "olm/olm-wikipedia-20221220", | |
| "columns": { | |
| "prompt": "text" | |
| } | |
| }, | |
| "wikipedia_zh": { | |
| "hf_hub_url": "pleisto/wikipedia-cn-20230720-filtered", | |
| "ms_hub_url": "AI-ModelScope/wikipedia-cn-20230720-filtered", | |
| "columns": { | |
| "prompt": "completion" | |
| } | |
| }, | |
| "pile": { | |
| "hf_hub_url": "EleutherAI/pile", | |
| "columns": { | |
| "prompt": "text" | |
| }, | |
| "subset": "all" | |
| }, | |
| "skypile": { | |
| "hf_hub_url": "Skywork/SkyPile-150B", | |
| "columns": { | |
| "prompt": "text" | |
| } | |
| }, | |
| "the_stack": { | |
| "hf_hub_url": "bigcode/the-stack", | |
| "ms_hub_url": "AI-ModelScope/the-stack", | |
| "columns": { | |
| "prompt": "content" | |
| } | |
| }, | |
| "starcoder_python": { | |
| "hf_hub_url": "bigcode/starcoderdata", | |
| "ms_hub_url": "AI-ModelScope/starcoderdata", | |
| "columns": { | |
| "prompt": "content" | |
| }, | |
| "folder": "python" | |
| } | |
| } | |