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Fix option in docs (#735)

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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
This commit is contained in:
zhiqiang 2019-05-12 16:35:11 -07:00 committed by Facebook Github Bot
parent 287d31e210
commit d0577ba7a5
2 changed files with 5 additions and 2 deletions
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3
.gitignore vendored
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@ -9,6 +9,9 @@ __pycache__/
# C extensions
*.so
# macOS dir files
.DS_Store
# Distribution / packaging
.Python
env/

4
docs/tutorial_classifying_names.rst
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@ -32,7 +32,7 @@ Once extracted, let's preprocess the data using the :ref:`fairseq-preprocess`
command-line tool to create the dictionaries. While this tool is primarily
intended for sequence-to-sequence problems, we're able to reuse it here by
treating the label as a "target" sequence of length 1. We'll also output the
preprocessed files in "raw" format using the ``--output-format`` option to
preprocessed files in "raw" format using the ``--dataset-impl`` option to
enhance readability:
.. code-block:: console
@ -40,7 +40,7 @@ enhance readability:
> fairseq-preprocess \
--trainpref names/train --validpref names/valid --testpref names/test \
--source-lang input --target-lang label \
--destdir names-bin --output-format raw
--destdir names-bin --dataset-impl raw
After running the above command you should see a new directory,
:file:`names-bin/`, containing the dictionaries for *inputs* and *labels*.