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+
+# 데이터 콜레이터(Data Collator)[[data-collator]]
+
+데이터 콜레이터는 데이터셋 요소들의 리스트를 입력으로 사용하여 배치를 형성하는 객체입니다. 이러한 요소들은 `train_dataset` 또는 `eval_dataset의` 요소들과 동일한 타입 입니다. 배치를 구성하기 위해, 데이터 콜레이터는 (패딩과 같은) 일부 처리를 적용할 수 있습니다. [`DataCollatorForLanguageModeling`]과 같은 일부 콜레이터는 형성된 배치에 (무작위 마스킹과 같은) 일부 무작위 데이터 증강도 적용합니다. 사용 예시는 [예제 스크립트](../examples)나 [예제 노트북](../notebooks)에서 찾을 수 있습니다.
+
+
+## 기본 데이터 콜레이터[[transformers.default_data_collator]]
+
+[[autodoc]] data.data_collator.default_data_collator
+
+## DefaultDataCollator[[transformers.DefaultDataCollator]]
+
+[[autodoc]] data.data_collator.DefaultDataCollator
+
+## DataCollatorWithPadding[[transformers.DataCollatorWithPadding]]
+
+[[autodoc]] data.data_collator.DataCollatorWithPadding
+
+## DataCollatorForTokenClassification[[transformers.DataCollatorForTokenClassification]]
+
+[[autodoc]] data.data_collator.DataCollatorForTokenClassification
+
+## DataCollatorForSeq2Seq[[transformers.DataCollatorForSeq2Seq]]
+
+[[autodoc]] data.data_collator.DataCollatorForSeq2Seq
+
+## DataCollatorForLanguageModeling[[transformers.DataCollatorForLanguageModeling]]
+
+[[autodoc]] data.data_collator.DataCollatorForLanguageModeling
+    - numpy_mask_tokens
+    - torch_mask_tokens
+
+## DataCollatorForWholeWordMask[[transformers.DataCollatorForWholeWordMask]]
+
+[[autodoc]] data.data_collator.DataCollatorForWholeWordMask
+    - numpy_mask_tokens
+    - torch_mask_tokens
+
+## DataCollatorForPermutationLanguageModeling[[transformers.DataCollatorForPermutationLanguageModeling]]
+
+[[autodoc]] data.data_collator.DataCollatorForPermutationLanguageModeling
+    - numpy_mask_tokens
+    - torch_mask_tokens
+
+## DataCollatorWithFlatteningtransformers.DataCollatorWithFlattening
+
+[[autodoc]] data.data_collator.DataCollatorWithFlattening