GLUE processors

docs/source/main_classes/processors.rst

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+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.
+
+``GLUE``
+~~~~~~~~~~~~~~~~~~~~~
+
+`General Language Understanding Evaluation (GLUE)<https://gluebenchmark.com/>`__ 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<https://openreview.net/pdf?id=rJ4km2R5t7>`__
+
+This library hosts a total of 10 processors for the following tasks: MRPC, MNLI, MNLI (mismatched),
+CoLA, SST2, STSB, QQP, QNLI, RTE and WNLI.
+
+.. autoclass:: pytorch_transformers.data.processors.glue.MrpcProcessor
+    :members:
+
+.. autoclass:: pytorch_transformers.data.processors.glue.MnliProcessor
+    :members:
+
+.. autoclass:: pytorch_transformers.data.processors.glue.MnliMismatchedProcessor
+    :members:
+
+.. autoclass:: pytorch_transformers.data.processors.glue.ColaProcessor
+    :members:
+
+.. autoclass:: pytorch_transformers.data.processors.glue.Sst2Processor
+    :members:
+
+.. autoclass:: pytorch_transformers.data.processors.glue.StsbProcessor
+    :members:
+
+.. autoclass:: pytorch_transformers.data.processors.glue.QqpProcessor
+    :members:
+
+.. autoclass:: pytorch_transformers.data.processors.glue.QnliProcessor
+    :members:
+
+.. autoclass:: pytorch_transformers.data.processors.glue.RteProcessor
+    :members:
+
+.. autoclass:: pytorch_transformers.data.processors.glue.WnliProcessor
+    :members: