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1. add custom eval dataset support
2. merge load dataset and split dataset function
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@@ -12,7 +12,8 @@ Currently we support datasets in **alpaca** and **sharegpt** format.
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"ranking": "whether the dataset is a preference dataset or not. (default: False)",
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"subset": "the name of the subset. (optional, default: None)",
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"folder": "the name of the folder of the dataset repository on the Hugging Face hub. (optional, default: None)",
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"num_samples": "the number of samples in the dataset used for training. (optional, default: None)",
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"num_samples": "the number of samples in the dataset used for training. (optional, default: None)",
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"split": "which dataset split to use for training and evaluation (optional, default: train)",
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"columns (optional)": {
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"prompt": "the column name in the dataset containing the prompts. (default: instruction)",
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"query": "the column name in the dataset containing the queries. (default: input)",
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