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Configuration-based use of HF hub-hosted datasets for training #701
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Motivated by need to reproduce #620 with an open dataset |
chimezie
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Support for configuration-based use of HF hub-hosted datasets for training
Configuration-based use of HF hub-hosted datasets for training
Apr 21, 2024
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Per the title, allow a structured
hf_dataset
YAML configuration parameter for specifying an HF hub-hosted dataset (vianame
) to use with training and the ability to use datasets' local file system caching, named splits, named configurations (viaconfiguration
), split slicing syntax for specifying train, validation, and test datasets, etc.The dataset feature names that correspond to attributes or keys for prompt/completion value pairs in the datasets or those with single pure text values (via
text_feature
in that case) can be specified.Added YAML parameters, for example (train on the first 1K in the train split and validate with the last 100 (no test data set):
See: Splits and Configurations, billsum, & HF Dataset API