HuggingFaceDataProcessorEli5.py

# Copyright 2022 Cerebras Systems.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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"""Pytorch HuggingFace Eli5 map-style Dataloader"""

from typing import Any, Literal, Optional

from pydantic import Field

from cerebras.modelzoo.data_preparation.huggingface.HuggingFace_Eli5 import (
    HuggingFace_Eli5,
)
from cerebras.modelzoo.data_preparation.huggingface.HuggingFaceDataProcessor import (
    HuggingFaceDataProcessor,
    HuggingFaceDataProcessorConfig,
)


class HuggingFaceDataProcessorEli5Config(HuggingFaceDataProcessorConfig):
    data_processor: Literal["HuggingFaceDataProcessorEli5"]

    split: str = "train"

    data_dir: Optional[Any] = Field(None, deprecated=True)


class HuggingFaceDataProcessorEli5(HuggingFaceDataProcessor):
    """
    A HuggingFace Eli5 map-style Data Processor.
    Args:
        config: The configuration object
    """

    def __init__(self, config: HuggingFaceDataProcessorEli5Config):
        if isinstance(config, dict):
            config = HuggingFaceDataProcessorEli5Config(**config)

        self.dataset, self.data_collator = HuggingFace_Eli5(
            split=config.split, num_workers=config.num_workers
        )

        # The super class will take care of sharding the dataset and creating the dataloader
        super().__init__(config, self.dataset)