Processors
----------------------------------------------------
This library includes processors for several traditional tasks. These processors can be used to process a dataset into
examples that can be fed to a model.
Processors
~~~~~~~~~~~~~~~~~~~~~
All processors follow the same architecture which is that of the
:class:`~transformers.data.processors.utils.DataProcessor`. The processor returns a list
of :class:`~transformers.data.processors.utils.InputExample`. These
:class:`~transformers.data.processors.utils.InputExample` can be converted to
:class:`~transformers.data.processors.utils.InputFeatures` in order to be fed to the model.
.. autoclass:: transformers.data.processors.utils.DataProcessor
:members:
.. autoclass:: transformers.data.processors.utils.InputExample
:members:
.. autoclass:: transformers.data.processors.utils.InputFeatures
:members:
GLUE
~~~~~~~~~~~~~~~~~~~~~
`General Language Understanding Evaluation (GLUE) `__ is a benchmark that evaluates
the performance of models across a diverse set of existing NLU tasks. It was released together with the paper
`GLUE: A multi-task benchmark and analysis platform for natural language understanding `__
This library hosts a total of 10 processors for the following tasks: MRPC, MNLI, MNLI (mismatched),
CoLA, SST2, STSB, QQP, QNLI, RTE and WNLI.
Those processors are:
- :class:`~transformers.data.processors.utils.MrpcProcessor`
- :class:`~transformers.data.processors.utils.MnliProcessor`
- :class:`~transformers.data.processors.utils.MnliMismatchedProcessor`
- :class:`~transformers.data.processors.utils.Sst2Processor`
- :class:`~transformers.data.processors.utils.StsbProcessor`
- :class:`~transformers.data.processors.utils.QqpProcessor`
- :class:`~transformers.data.processors.utils.QnliProcessor`
- :class:`~transformers.data.processors.utils.RteProcessor`
- :class:`~transformers.data.processors.utils.WnliProcessor`
Additionally, the following method can be used to load values from a data file and convert them to a list of
:class:`~transformers.data.processors.utils.InputExample`.
.. automethod:: transformers.data.processors.glue.glue_convert_examples_to_features
Example usage
^^^^^^^^^^^^^^^^^^^^^^^^^
An example using these processors is given in the
`run_glue.py `__ script.