transformers/docs/source/zh/main_classes/data_collator.md

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# Data Collator

Data collators是一个对象，通过使用数据集元素列表作为输入来形成一个批次。这些元素与 `train_dataset` 或 `eval_dataset` 的元素类型相同。

为了能够构建批次，Data collators可能会应用一些预处理（比如填充）。其中一些（比如[`DataCollatorForLanguageModeling`]）还会在形成的批次上应用一些随机数据增强（比如随机掩码）。

在[示例脚本](../examples)或[示例notebooks](../notebooks)中可以找到使用的示例。


## Default data collator

[[autodoc]] data.data_collator.default_data_collator

## DefaultDataCollator

[[autodoc]] data.data_collator.DefaultDataCollator

## DataCollatorWithPadding

[[autodoc]] data.data_collator.DataCollatorWithPadding

## DataCollatorForTokenClassification

[[autodoc]] data.data_collator.DataCollatorForTokenClassification

## DataCollatorForSeq2Seq

[[autodoc]] data.data_collator.DataCollatorForSeq2Seq

## DataCollatorForLanguageModeling

[[autodoc]] data.data_collator.DataCollatorForLanguageModeling
    - numpy_mask_tokens
    - tf_mask_tokens
    - torch_mask_tokens

## DataCollatorForWholeWordMask

[[autodoc]] data.data_collator.DataCollatorForWholeWordMask
    - numpy_mask_tokens
    - tf_mask_tokens
    - torch_mask_tokens

## DataCollatorForPermutationLanguageModeling

[[autodoc]] data.data_collator.DataCollatorForPermutationLanguageModeling
    - numpy_mask_tokens
    - tf_mask_tokens
    - torch_mask_tokens