Dmitry
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dataset added, readme updated
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README.md
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# TL;DR: Text Normalization for Social Media Corpus
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## Dataset Description
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This dataset contains examples of Russian-language texts from social networks
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with distorted spelling (typos, abbreviations, etc.) and their normalized versions
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in json format. A detailed spelling correction protocol is given in the TBA article.
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The dataset size is 1930 sentence pairs. In each pair, the sentences are tokenized
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by words, and the lengths of both sentences in the pair are equal. If a token
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had to be divided during the normalization process, the division point is marked
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with the "|" symbol. If two tokens were combined, the placeholder <conjoint> is
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set in place of the second token (or <hyphen>, if the final spelling contains
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a hyphen at the place of the combination). Punctuation was excluded during
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pre-processing. Dataset excerpt:
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```
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...
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[
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[
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"Где",
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"то",
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"сейчас",
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"один",
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"сисадмин",
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"Ищу",
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"работу",
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"опыт",
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"работы",
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"Google",
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"YouTube"
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],
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[
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"Где-то",
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"<hyphen>",
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"сейчас",
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"один",
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"системный|администратор",
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"Ищу",
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"работу",
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"опыт",
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"работы",
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"<foreign>",
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"<foreign>"
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]
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],
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...
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```
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## Source Data
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[Social networks subcorpus](https://ruscorpora.ru/en/corpus/blogs) from the [Russian National Corpus](https://ruscorpora.ru/en).
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## License
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TBA
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## Citation
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TBA
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data.json
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The diff for this file is too large to render.
See raw diff
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