chore: import upstream snapshot with attribution

docs/text_examples.rst

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+Text examples
+-------------
+
+These examples explain machine learning models applied to text data. They are all generated from Jupyter
+notebooks `available on GitHub <https://github.com/shap/shap/tree/master/notebooks/text_examples>`_.
+
+
+Sentiment analysis
+==================
+Examples of how to explain predictions from sentiment analysis models.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/text_examples/sentiment_analysis/*
+
+Translation
+===========
+Examples of how to explain predictions from translation models.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/text_examples/translation/*
+
+
+Text generation
+===============
+Examples of how to explain predictions from text generation models.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/text_examples/text_generation/*
+
+
+Summarization
+=============
+Examples of how to explain predictions from summarization models.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/text_examples/summarization/*
+
+
+Question Answering
+==================
+Examples of how to explain predictions from question answering models.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/text_examples/question_answering/*
+
+
+Language modelling
+==================
+Examples of how to explain predictions from language models.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/text_examples/language_modelling/*
+
+
+Text entailment
+===============
+Examples of how to explain predictions from text entailment models.
+
+.. toctree::
+    :glob:
+    :maxdepth: 1
+
+    example_notebooks/text_examples/text_entailment/*