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llmcompressor.transformers.data.open_platypus

Classes:

OpenPlatypusDataset 

OpenPlatypusDataset(
    dataset_args: DatasetArguments,
    split: str,
    processor: Processor,
)

Bases: TextGenerationDataset

Child text generation class for the Open Platypus dataset

Parameters:

  • dataset_args (DatasetArguments) –

    configuration settings for dataset loading

  • split (str) –

    split from dataset to load, for instance test or train[:5%]

  • processor (Processor) –

    processor or tokenizer to use on dataset

Source code in src/llmcompressor/transformers/data/open_platypus.py 
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def __init__(
    self, dataset_args: "DatasetArguments", split: str, processor: Processor
):
    dataset_args = deepcopy(dataset_args)
    dataset_args.dataset = "garage-bAInd/Open-Platypus"
    dataset_args.text_column = "text"
    super().__init__(dataset_args=dataset_args, split=split, processor=processor)