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Fix option in docs (#735)
Summary: `--output-format` -> `--dataset-impl` in Tutorial: Classifying Names with a Character-Level RNN Pull Request resolved: https://github.com/pytorch/fairseq/pull/735 Differential Revision: D15314625 Pulled By: myleott fbshipit-source-id: 65b8efd1a367ca754e5b9dca088aefbc648864dd
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@ -9,6 +9,9 @@ __pycache__/
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# C extensions
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*.so
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# macOS dir files
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.DS_Store
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# Distribution / packaging
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.Python
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env/
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@ -32,7 +32,7 @@ Once extracted, let's preprocess the data using the :ref:`fairseq-preprocess`
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command-line tool to create the dictionaries. While this tool is primarily
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intended for sequence-to-sequence problems, we're able to reuse it here by
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treating the label as a "target" sequence of length 1. We'll also output the
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preprocessed files in "raw" format using the ``--output-format`` option to
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preprocessed files in "raw" format using the ``--dataset-impl`` option to
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enhance readability:
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.. code-block:: console
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@ -40,7 +40,7 @@ enhance readability:
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> fairseq-preprocess \
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--trainpref names/train --validpref names/valid --testpref names/test \
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--source-lang input --target-lang label \
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--destdir names-bin --output-format raw
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--destdir names-bin --dataset-impl raw
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After running the above command you should see a new directory,
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:file:`names-bin/`, containing the dictionaries for *inputs* and *labels*.
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