LLaMA-Factory-Mirror/data/dataset_info.json

285 lines
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JSON

{
"alpaca_en": {
"file_name": "alpaca_data_en_52k.json",
"file_sha1": "607f94a7f581341e59685aef32f531095232cf23"
},
"alpaca_zh": {
"file_name": "alpaca_data_zh_51k.json",
"file_sha1": "e655af3db557a4197f7b0cf92e1986b08fae6311"
},
"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"
}
},
"sharegpt_zh": {
"file_name": "sharegpt_zh_27k.json",
"file_sha1": "baf766bcf3d61f1b783728c14ce695af57a86e6e",
"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"
}
},
"example": {
"script_url": "example_dataset",
"columns": {
"prompt": "instruction",
"query": "input",
"response": "output",
"history": "history"
}
},
"guanaco": {
"hf_hub_url": "JosephusCheung/GuanacoDataset"
},
"belle_2m": {
"hf_hub_url": "BelleGroup/train_2M_CN"
},
"belle_1m": {
"hf_hub_url": "BelleGroup/train_1M_CN"
},
"belle_0.5m": {
"hf_hub_url": "BelleGroup/train_0.5M_CN"
},
"belle_dialog": {
"hf_hub_url": "BelleGroup/generated_chat_0.4M"
},
"belle_math": {
"hf_hub_url": "BelleGroup/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"
},
"codealpaca": {
"hf_hub_url": "sahil2801/CodeAlpaca-20k"
},
"alpaca_cot": {
"hf_hub_url": "QingyiSi/Alpaca-CoT"
},
"openorca": {
"hf_hub_url": "Open-Orca/OpenOrca",
"columns": {
"prompt": "question",
"response": "response"
}
},
"mathinstruct": {
"hf_hub_url": "TIGER-Lab/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",
"columns": {
"prompt": "input",
"response": "output"
}
},
"webnovel": {
"hf_hub_url": "zxbsmk/webnovel_cn"
},
"nectar_sft": {
"hf_hub_url": "mlinmg/SFT-Nectar"
},
"adgen": {
"hf_hub_url": "HasturOfficial/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",
"formatting": "sharegpt"
},
"ultrachat_200k": {
"hf_hub_url": "HuggingFaceH4/ultrachat_200k",
"columns": {
"prompt": "messages",
"query": "role",
"response": "content"
},
"formatting": "sharegpt"
},
"agent_instruct": {
"hf_hub_url": "THUDM/AgentInstruct",
"formatting": "sharegpt"
},
"lmsys_chat": {
"hf_hub_url": "lmsys/lmsys-chat-1m",
"columns": {
"prompt": "conversation",
"query": "role",
"response": "content"
},
"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"
}
},
"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",
"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",
"columns": {
"prompt": "content"
}
},
"starcoder_python": {
"hf_hub_url": "bigcode/starcoderdata",
"columns": {
"prompt": "content"
},
"folder": "python"
}
}