data: catch the assistant replies that survived the v2.4.1 cleaning - #232
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The translation step left model replies in the corpus in place of messages
("Maaf, saya tidak dapat membuka tautan...", "No tiene sentido en ningún idioma",
"I'm sorry, but the text you provided is not clear"). The marker list caught 80;
this extends it with the Indonesian, Spanish, Italian, French, German, Russian
and Arabic phrasings and removes 335 more rows (138,003 -> 137,668). Phrases are
kept specific enough not to match real SMS wording.
The writer now emits LF line endings, matching the committed file, so
regenerating the dataset produces a byte-identical result.
Follow-up to #195.
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Follow-up to #195, as promised there.
The translation step left model replies in the corpus in place of messages: "Maaf, saya tidak dapat membuka tautan...", "No tiene sentido en ningún idioma", "I'm sorry, but the text you provided is not clear". The v2.4.1 marker list caught 80 of them. This extends the list with the Indonesian, Spanish, Italian, French, German, Russian and Arabic phrasings and removes 335 more rows (138,003 to 137,668). Phrases were chosen to be specific enough not to match real SMS wording; a random sample of the removed rows is in the commit.
Also makes
clean_ots_dataset.pywrite LF line endings, matching the committed file, so regenerating the dataset is byte-identical.test_clean_dataset.pypasses (3/3).