LLaMA-Factory/data/dataset_info.json

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{
"alpaca_en": {
"file_name": "alpaca_data_en_52k.json",
"file_sha1": "607f94a7f581341e59685aef32f531095232cf23"
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},
"alpaca_zh": {
"file_name": "alpaca_data_zh_51k.json",
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"file_sha1": "2ba9827122c158dc256668d42bd1bcb8bc6b786e"
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},
"alpaca_gpt4_en": {
"file_name": "alpaca_gpt4_data_en.json",
"file_sha1": "647f4ad447bd993e4b6b6223d1be15208bab694a"
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},
"alpaca_gpt4_zh": {
"file_name": "alpaca_gpt4_data_zh.json",
"file_sha1": "3eaa3bda364ccdd59925d7448a698256c31ef845"
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},
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"identity": {
"file_name": "identity.json",
"file_sha1": "ffe3ecb58ab642da33fbb514d5e6188f1469ad40"
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},
"oaast_sft": {
"file_name": "oaast_sft.json",
"file_sha1": "7baf5d43e67a91f9bbdf4e400dbe033b87e9757e",
"columns": {
"prompt": "instruction",
"query": "input",
"response": "output",
"history": "history"
}
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},
"oaast_sft_zh": {
"file_name": "oaast_sft_zh.json",
"file_sha1": "a6a91f18f80f37b10ded9cf633fb50c033bf7b9f",
"columns": {
"prompt": "instruction",
"query": "input",
"response": "output",
"history": "history"
}
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},
"lima": {
"file_name": "lima.json",
"file_sha1": "9db59f6b7007dc4b17529fc63379b9cd61640f37",
"columns": {
"prompt": "instruction",
"query": "input",
"response": "output",
"history": "history"
}
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},
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"glaive_toolcall": {
"file_name": "glaive_toolcall_10k.json",
"file_sha1": "a6917b85d209df98d31fdecb253c79ebc440f6f3",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"tools": "tools"
}
},
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"example": {
"script_url": "example_dataset",
"columns": {
"prompt": "instruction",
"query": "input",
"response": "output",
"history": "history"
}
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},
"guanaco": {
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"hf_hub_url": "JosephusCheung/GuanacoDataset",
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"ms_hub_url": "AI-ModelScope/GuanacoDataset"
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},
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"belle_2m": {
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"hf_hub_url": "BelleGroup/train_2M_CN",
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"ms_hub_url": "AI-ModelScope/train_2M_CN"
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},
"belle_1m": {
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"hf_hub_url": "BelleGroup/train_1M_CN",
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"ms_hub_url": "AI-ModelScope/train_1M_CN"
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},
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"belle_0.5m": {
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"hf_hub_url": "BelleGroup/train_0.5M_CN",
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"ms_hub_url": "AI-ModelScope/train_0.5M_CN"
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},
"belle_dialog": {
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"hf_hub_url": "BelleGroup/generated_chat_0.4M",
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"ms_hub_url": "AI-ModelScope/generated_chat_0.4M"
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},
"belle_math": {
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"hf_hub_url": "BelleGroup/school_math_0.25M",
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"ms_hub_url": "AI-ModelScope/school_math_0.25M"
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},
"belle_multiturn": {
"script_url": "belle_multiturn",
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"formatting": "sharegpt"
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},
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"ultra_chat": {
"script_url": "ultra_chat",
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"formatting": "sharegpt"
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},
"open_platypus": {
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"hf_hub_url": "garage-bAInd/Open-Platypus",
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"ms_hub_url": "AI-ModelScope/Open-Platypus"
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},
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"codealpaca": {
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"hf_hub_url": "sahil2801/CodeAlpaca-20k",
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"ms_hub_url": "AI-ModelScope/CodeAlpaca-20k"
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},
"alpaca_cot": {
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"hf_hub_url": "QingyiSi/Alpaca-CoT",
"ms_hub_url": "AI-ModelScope/Alpaca-CoT"
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},
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"openorca": {
"hf_hub_url": "Open-Orca/OpenOrca",
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"ms_hub_url": "AI-ModelScope/OpenOrca",
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"columns": {
"prompt": "question",
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"response": "response",
"system": "system_prompt"
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}
},
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"slimorca": {
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"hf_hub_url": "Open-Orca/SlimOrca",
"formatting": "sharegpt"
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},
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"mathinstruct": {
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"hf_hub_url": "TIGER-Lab/MathInstruct",
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"ms_hub_url": "AI-ModelScope/MathInstruct",
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"columns": {
"prompt": "instruction",
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"response": "output"
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}
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},
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"firefly": {
"hf_hub_url": "YeungNLP/firefly-train-1.1M",
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"columns": {
"prompt": "input",
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"response": "target"
}
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},
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"wikiqa": {
"hf_hub_url": "wiki_qa",
"columns": {
"prompt": "question",
"response": "answer"
}
},
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"webqa": {
"hf_hub_url": "suolyer/webqa",
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"ms_hub_url": "AI-ModelScope/webqa",
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"columns": {
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"prompt": "input",
"response": "output"
}
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},
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"webnovel": {
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"hf_hub_url": "zxbsmk/webnovel_cn",
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"ms_hub_url": "AI-ModelScope/webnovel_cn"
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},
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"nectar_sft": {
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"hf_hub_url": "mlinmg/SFT-Nectar",
"ms_hub_url": "AI-ModelScope/SFT-Nectar"
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},
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"deepctrl": {
"ms_hub_url": "deepctrl/deepctrl-sft-data"
},
"adgen": {
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"hf_hub_url": "HasturOfficial/adgen",
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"ms_hub_url": "AI-ModelScope/adgen",
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"columns": {
"prompt": "content",
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"response": "summary"
}
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},
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"sharegpt_hyper": {
"hf_hub_url": "totally-not-an-llm/sharegpt-hyperfiltered-3k",
"formatting": "sharegpt"
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},
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"sharegpt4": {
"hf_hub_url": "shibing624/sharegpt_gpt4",
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"ms_hub_url": "AI-ModelScope/sharegpt_gpt4",
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"formatting": "sharegpt"
},
"ultrachat_200k": {
"hf_hub_url": "HuggingFaceH4/ultrachat_200k",
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"ms_hub_url": "AI-ModelScope/ultrachat_200k",
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"columns": {
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"messages": "messages"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
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"user_tag": "user",
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"assistant_tag": "assistant"
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},
"formatting": "sharegpt"
},
"agent_instruct": {
"hf_hub_url": "THUDM/AgentInstruct",
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"ms_hub_url": "ZhipuAI/AgentInstruct",
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"formatting": "sharegpt"
},
"lmsys_chat": {
"hf_hub_url": "lmsys/lmsys-chat-1m",
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"ms_hub_url": "AI-ModelScope/lmsys-chat-1m",
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"columns": {
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"messages": "conversation"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "human",
"assistant_tag": "assistant"
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},
"formatting": "sharegpt"
},
"evol_instruct": {
"hf_hub_url": "WizardLM/WizardLM_evol_instruct_V2_196k",
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"ms_hub_url": "AI-ModelScope/WizardLM_evol_instruct_V2_196k",
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"formatting": "sharegpt"
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},
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"glaive_toolcall_100k": {
"hf_hub_url": "hiyouga/glaive-function-calling-v2-sharegpt",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"tools": "tools"
}
},
"cosmopedia": {
"hf_hub_url": "HuggingFaceTB/cosmopedia",
"columns": {
"prompt": "prompt",
"response": "text"
}
},
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"oasst_de": {
"hf_hub_url": "mayflowergmbh/oasst_de"
},
"dolly_15k_de": {
"hf_hub_url": "mayflowergmbh/dolly-15k_de"
},
"alpaca-gpt4_de": {
"hf_hub_url": "mayflowergmbh/alpaca-gpt4_de"
},
"openschnabeltier_de": {
"hf_hub_url": "mayflowergmbh/openschnabeltier_de"
},
"evol_instruct_de": {
"hf_hub_url": "mayflowergmbh/evol-instruct_de"
},
"dolphin_de": {
"hf_hub_url": "mayflowergmbh/dolphin_de"
},
"booksum_de": {
"hf_hub_url": "mayflowergmbh/booksum_de"
},
"airoboros_de": {
"hf_hub_url": "mayflowergmbh/airoboros-3.0_de"
},
"ultrachat_de": {
"hf_hub_url": "mayflowergmbh/ultra-chat_de"
},
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"hh_rlhf_en": {
"script_url": "hh_rlhf_en",
"columns": {
"prompt": "instruction",
"response": "output",
"history": "history"
},
"ranking": true
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},
"oaast_rm": {
"file_name": "oaast_rm.json",
"file_sha1": "622d420e9b70003b210618253bd3d9d2891d86cb",
"columns": {
"prompt": "instruction",
"query": "input",
"response": "output",
"history": "history"
},
"ranking": true
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},
"oaast_rm_zh": {
"file_name": "oaast_rm_zh.json",
"file_sha1": "1065af1f3784dd61be5e79713a35f427b713a232",
"columns": {
"prompt": "instruction",
"query": "input",
"response": "output",
"history": "history"
},
"ranking": true
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},
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"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
},
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"orca_rlhf": {
"file_name": "orca_rlhf.json",
"file_sha1": "acc8f74d16fd1fc4f68e7d86eaa781c2c3f5ba8e",
"ranking": true,
"columns": {
"prompt": "question",
"response": "answer",
"system": "system"
}
},
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"nectar_rm": {
"hf_hub_url": "mlinmg/RLAIF-Nectar",
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"ms_hub_url": "AI-ModelScope/RLAIF-Nectar",
"ranking": true
},
"orca_dpo_de" : {
"hf_hub_url": "mayflowergmbh/intel_orca_dpo_pairs_de",
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"ranking": true
},
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"wiki_demo": {
"file_name": "wiki_demo.txt",
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"file_sha1": "e70375e28eda542a90c68213640cc371898ce181",
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"columns": {
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"prompt": "text"
}
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},
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"c4_demo": {
"file_name": "c4_demo.json",
"file_sha1": "a5a0c86759732f9a5238e447fecd74f28a66cca8",
"columns": {
"prompt": "text"
}
},
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"refinedweb": {
"hf_hub_url": "tiiuae/falcon-refinedweb",
"columns": {
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"prompt": "content"
}
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},
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"redpajama_v2": {
"hf_hub_url": "togethercomputer/RedPajama-Data-V2",
"columns": {
"prompt": "raw_content"
},
"subset": "default"
},
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"wikipedia_en": {
"hf_hub_url": "olm/olm-wikipedia-20221220",
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"ms_hub_url": "AI-ModelScope/olm-wikipedia-20221220",
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"columns": {
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"prompt": "text"
}
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},
"wikipedia_zh": {
"hf_hub_url": "pleisto/wikipedia-cn-20230720-filtered",
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"ms_hub_url": "AI-ModelScope/wikipedia-cn-20230720-filtered",
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"columns": {
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"prompt": "completion"
}
},
"pile": {
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"hf_hub_url": "monology/pile-uncopyrighted",
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"ms_hub_url": "AI-ModelScope/pile",
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"columns": {
"prompt": "text"
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}
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},
"skypile": {
"hf_hub_url": "Skywork/SkyPile-150B",
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"ms_hub_url": "AI-ModelScope/SkyPile-150B",
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"columns": {
"prompt": "text"
}
},
"the_stack": {
"hf_hub_url": "bigcode/the-stack",
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"ms_hub_url": "AI-ModelScope/the-stack",
"columns": {
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"prompt": "content"
}
},
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"starcoder_python": {
"hf_hub_url": "bigcode/starcoderdata",
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"ms_hub_url": "AI-ModelScope/starcoderdata",
"columns": {
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"prompt": "content"
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},
"folder": "python"
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}
}