Hugging Face's logo

Datasets:
ruanchaves
/
nru_hse

Languages:
Russian
ArXiv:
Tags:
word-segmentation
License:
Dataset card Files Community
3
Dataset Viewer
Full Screen

The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.

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.

Downloads last month
79
Edit dataset card
Repository:
glushkovato/hashtag_segmentation
Paper:
Char-RNN and Active Learning for Hashtag Segmentation