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Datasets:
ruanchaves
/
nru_hse

Languages:
Russian
ArXiv:
Tags:
word-segmentation
License:
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YAML Metadata Warning: The task_categories "structure-prediction" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

Dataset Card for NRU-HSE

Dataset Summary

Real hashtags collected from several pages about civil services on vk.com (a Russian social network) and then segmented manually.

Languages

Russian

Dataset Structure

Data Instances 

{
  "index": 0, 
  "hashtag": "ЁлкаВЗазеркалье",
  "segmentation": "Ёлка В Зазеркалье"
}

Data Fields

  • index: a numerical index.
  • hashtag: the original hashtag.
  • segmentation: the gold segmentation for the hashtag.

Dataset Creation

  • All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: hashtag and segmentation or identifier and segmentation.

  • The only difference between hashtag and segmentation or between identifier and segmentation are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields.

  • There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as _ , :, ~ ).

  • If there are any annotations for named entity recognition and other token classification tasks, they are given in a spans field.

Additional Information

Citation Information 

@article{glushkova2019char,
  title={Char-RNN and Active Learning for Hashtag Segmentation},
  author={Glushkova, Taisiya and Artemova, Ekaterina},
  journal={arXiv preprint arXiv:1911.03270},
  year={2019}
}

Contributions

This dataset was added by @ruanchaves while developing the hashformers library.

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Repository:
glushkovato/hashtag_segmentation
Paper:
Char-RNN and Active Learning for Hashtag Segmentation