forked from p04798526/LLaMA-Factory-Mirror
3ec4351cfd
|
||
|---|---|---|
| .. | ||
| belle_multiturn | ||
| example_dataset | ||
| hh_rlhf_en | ||
| ultra_chat | ||
| README.md | ||
| README_zh.md | ||
| alpaca_data_en_52k.json | ||
| alpaca_data_zh_51k.json | ||
| alpaca_gpt4_data_en.json | ||
| alpaca_gpt4_data_zh.json | ||
| comparison_gpt4_data_en.json | ||
| comparison_gpt4_data_zh.json | ||
| dataset_info.json | ||
| lima.json | ||
| oaast_rm.json | ||
| oaast_rm_zh.json | ||
| oaast_sft.json | ||
| oaast_sft_zh.json | ||
| self_cognition.json | ||
| sharegpt_zh_27k.json | ||
| wiki_demo.txt | ||
README.md
If you are using a custom dataset, please provide your dataset definition in the following format in dataset_info.json.
"dataset_name": {
"hf_hub_url": "the name of the dataset repository on the HuggingFace hub. (if specified, ignore below 3 arguments)",
"script_url": "the name of the directory containing a dataset loading script. (if specified, ignore below 2 arguments)",
"file_name": "the name of the dataset file in the this directory. (required if above are not specified)",
"file_sha1": "the SHA-1 hash value of the dataset file. (optional)",
"columns": {
"prompt": "the name of the column in the datasets containing the prompts. (default: instruction)",
"query": "the name of the column in the datasets containing the queries. (default: input)",
"response": "the name of the column in the datasets containing the responses. (default: output)",
"history": "the name of the column in the datasets containing the history of chat. (default: None)"
}
}
where the prompt and response columns should contain non-empty values. The query column will be concatenated with the prompt column and used as input for the model. The history column should contain a list where each element is a string tuple representing a query-response pair.