mirror of
https://github.com/hiyouga/LLaMA-Factory.git
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add code for reading from multi files in one directory
Former-commit-id: 3dd5f9a874
This commit is contained in:
@@ -1,107 +1,116 @@
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{
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"alpaca_en": {
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"hf_hub_url": "tatsu-lab/alpaca"
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},
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"alpaca_zh": {
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"file_name": "alpaca_data_zh_51k.json",
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"file_sha1": "e655af3db557a4197f7b0cf92e1986b08fae6311"
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},
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"alpaca_gpt4_en": {
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"file_name": "alpaca_gpt4_data_en.json",
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"file_sha1": "647f4ad447bd993e4b6b6223d1be15208bab694a"
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},
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"alpaca_gpt4_zh": {
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"file_name": "alpaca_gpt4_data_zh.json",
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"file_sha1": "3eaa3bda364ccdd59925d7448a698256c31ef845"
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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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},
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"belle_1m": {
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"hf_hub_url": "BelleGroup/train_1M_CN"
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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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},
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"belle_dialog": {
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"hf_hub_url": "BelleGroup/generated_chat_0.4M"
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},
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"belle_math": {
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"hf_hub_url": "BelleGroup/school_math_0.25M"
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},
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"belle_multiturn": {
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"hf_hub_url": "BelleGroup/multiturn_chat_0.8M"
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},
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"guanaco": {
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"hf_hub_url": "JosephusCheung/GuanacoDataset"
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},
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"firefly": {
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"hf_hub_url": "YeungNLP/firefly-train-1.1M",
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"columns": {
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"prompt": "input",
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"query": "",
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"response": "target",
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"history": ""
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}
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},
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"codealpaca": {
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"hf_hub_url": "sahil2801/CodeAlpaca-20k"
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},
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"alpaca_cot": {
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"hf_hub_url": "QingyiSi/Alpaca-CoT"
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},
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"webqa": {
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"hf_hub_url": "suolyer/webqa",
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"columns": {
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"prompt": "input",
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"query": "",
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"response": "output",
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"history": ""
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}
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},
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"ultra_chat": {
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"script_url": "ultra_chat",
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"columns": {
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"prompt": "instruction",
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"query": "",
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"response": "output",
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"history": "history"
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}
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},
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"example": {
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"script_url": "example_dataset",
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"columns": {
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"prompt": "instruction",
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"query": "input",
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"response": "output",
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"history": "history"
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}
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},
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"comparison_gpt4_en": {
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"file_name": "comparison_gpt4_data_en.json",
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"file_sha1": "eeb295ce0ab011c37af52596460c8a57d07ad19f"
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},
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"comparison_gpt4_zh": {
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"file_name": "comparison_gpt4_data_zh.json",
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"file_sha1": "b99a41c1c864019d9b0c07dbcd5df0560cf33ce0"
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},
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"hh_rlhf_en": {
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"script_url": "hh_rlhf_en",
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"columns": {
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"prompt": "instruction",
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"query": "",
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"response": "output",
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"history": "history"
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}
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},
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"wiki_demo": {
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"file_name": "wiki_demo.txt",
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"file_sha1": "b2288edb05b233e5b35250fd4b308a5fa21fa66d",
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"columns": {
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"prompt": "text",
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"query": "",
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"response": "",
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"history": ""
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}
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"alpaca_en": {
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"hf_hub_url": "tatsu-lab/alpaca"
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},
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"alpaca_zh": {
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"file_name": "alpaca_data_zh_51k.json",
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"file_sha1": "e655af3db557a4197f7b0cf92e1986b08fae6311"
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},
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"alpaca_gpt4_en": {
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"file_name": "alpaca_gpt4_data_en.json",
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"file_sha1": "647f4ad447bd993e4b6b6223d1be15208bab694a"
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},
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"alpaca_gpt4_zh": {
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"file_name": "alpaca_gpt4_data_zh.json",
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"file_sha1": "3eaa3bda364ccdd59925d7448a698256c31ef845"
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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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},
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"belle_1m": {
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"hf_hub_url": "BelleGroup/train_1M_CN"
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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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},
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"belle_dialog": {
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"hf_hub_url": "BelleGroup/generated_chat_0.4M"
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},
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"belle_math": {
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"hf_hub_url": "BelleGroup/school_math_0.25M"
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},
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"belle_multiturn": {
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"hf_hub_url": "BelleGroup/multiturn_chat_0.8M"
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},
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"guanaco": {
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"hf_hub_url": "JosephusCheung/GuanacoDataset"
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},
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"firefly": {
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"hf_hub_url": "YeungNLP/firefly-train-1.1M",
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"columns": {
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"prompt": "input",
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"query": "",
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"response": "target",
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"history": ""
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}
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},
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"codealpaca": {
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"hf_hub_url": "sahil2801/CodeAlpaca-20k"
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},
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"alpaca_cot": {
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"hf_hub_url": "QingyiSi/Alpaca-CoT"
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},
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"webqa": {
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"hf_hub_url": "suolyer/webqa",
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"columns": {
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"prompt": "input",
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"query": "",
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"response": "output",
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"history": ""
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}
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},
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"ultra_chat": {
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"script_url": "ultra_chat",
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"columns": {
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"prompt": "instruction",
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"query": "",
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"response": "output",
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"history": "history"
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}
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},
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"example": {
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"script_url": "example_dataset",
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"columns": {
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"prompt": "instruction",
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"query": "input",
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"response": "output",
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"history": "history"
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}
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},
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"comparison_gpt4_en": {
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"file_name": "comparison_gpt4_data_en.json",
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"file_sha1": "eeb295ce0ab011c37af52596460c8a57d07ad19f"
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},
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"comparison_gpt4_zh": {
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"file_name": "comparison_gpt4_data_zh.json",
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"file_sha1": "b99a41c1c864019d9b0c07dbcd5df0560cf33ce0"
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},
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"hh_rlhf_en": {
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"script_url": "hh_rlhf_en",
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"columns": {
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"prompt": "instruction",
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"query": "",
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"response": "output",
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"history": "history"
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}
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},
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"wiki_demo": {
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"file_name": "wiki_demo.txt",
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"file_sha1": "b2288edb05b233e5b35250fd4b308a5fa21fa66d",
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"columns": {
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"prompt": "text",
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"query": "",
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"response": "",
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"history": ""
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}
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},
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"pretrain_data": {
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"file_name": "pretrain_data",
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"columns": {
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"prompt": "content",
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"query": "",
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"response": "",
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"history": ""
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}
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}
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}
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