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33 lines
1.6 KiB
Markdown
33 lines
1.6 KiB
Markdown
If you are using a custom dataset, please provide your dataset definition in the following format in `dataset_info.json`.
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```json
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"dataset_name": {
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"hf_hub_url": "the name of the dataset repository on the HuggingFace hub. (if specified, ignore below 3 arguments)",
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"script_url": "the name of the directory containing a dataset loading script. (if specified, ignore below 2 arguments)",
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"file_name": "the name of the dataset file in the this directory. (required if above are not specified)",
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"file_sha1": "the SHA-1 hash value of the dataset file. (optional)",
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"ranking": "whether the examples contains ranked responses or not. (default: false)",
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"columns": {
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"prompt": "the name of the column in the datasets containing the prompts. (default: instruction)",
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"query": "the name of the column in the datasets containing the queries. (default: input)",
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"response": "the name of the column in the datasets containing the responses. (default: output)",
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"history": "the name of the column in the datasets containing the history of chat. (default: None)"
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}
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}
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```
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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.
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For datasets used in reward modeling or DPO training, the `response` column should be a string list, with the preferred answers appearing first, for example:
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```json
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{
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"instruction": "Question",
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"input": "",
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"output": [
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"Chosen answer",
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"Rejected answer"
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]
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}
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```
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