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Added documentation for data collator. (#10941)



* Added documentation for data collator.

* Update docs/source/data_collator.rst
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Added documentation for data collator.

* Added documentation for the data collator.

* Merge branch 'doc_DataCollator' of C:\Users\mahii\PycharmProjects\transformers with conflicts.

* Update documentation for the data collator.

* Update documentation for the data collator.
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: default avatarAmna <A.A.Ahmad@student.tudelft.nl>
parent ef102c48
...@@ -415,6 +415,7 @@ TensorFlow and/or Flax. ...@@ -415,6 +415,7 @@ TensorFlow and/or Flax.
main_classes/callback main_classes/callback
main_classes/configuration main_classes/configuration
main_classes/data_collator
main_classes/logging main_classes/logging
main_classes/model main_classes/model
main_classes/optimizer_schedules main_classes/optimizer_schedules
......
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DataCollator
-----------------------------------------------------------------------------------------------------------------------
DataCollators are objects that will form a batch by using a list of elements as input. These lists of elements are of
the same type as the elements of :obj:`train_dataset` or :obj:`eval_dataset`.
A data collator will default to :func:`transformers.data.data_collator.default_data_collator` if no `tokenizer` has
been provided. This is a function that takes a list of samples from a Dataset as input and collates them into a batch
of a dict-like object. The default collator performs special handling of potential keys:
- ``label``: handles a single value (int or float) per object
- ``label_ids``: handles a list of values per object
This function does not perform any preprocessing. An example of use can be found in glue and ner.
Default data collator
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autofunction:: transformers.data.data_collator.default_data_collator
DataCollatorWithPadding
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.data.data_collator.DataCollatorWithPadding
:special-members: __call__
:members:
DataCollatorForTokenClassification
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.data.data_collator.DataCollatorForTokenClassification
:special-members: __call__
:members:
DataCollatorForSeq2Seq
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.data.data_collator.DataCollatorForSeq2Seq
:special-members: __call__
:members:
DataCollatorForLanguageModeling
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.data.data_collator.DataCollatorForLanguageModeling
:special-members: __call__
:members: mask_tokens
DataCollatorForWholeWordMask
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.data.data_collator.DataCollatorForWholeWordMask
:special-members: __call__
:members: mask_tokens
DataCollatorForSOP
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.data.data_collator.DataCollatorForSOP
:special-members: __call__
:members: mask_tokens
DataCollatorForPermutationLanguageModeling
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. autoclass:: transformers.data.data_collator.DataCollatorForPermutationLanguageModeling
:special-members: __call__
:members: mask_tokens
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