metadata

annotations_creators:
  - expert-generated
language_creators:
  - machine-generated
languages:
  - en
licenses:
  - unknown
multilinguality:
  - monolingual
pretty_name: STAN Small
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - structure-prediction
  - conditional-text-generation
task_ids:
  - structure-prediction-other-word-segmentation

Dataset Card for STAN Small

Dataset Description

Repository: mounicam/hashtag_master
Paper: Multi-task Pairwise Neural Ranking for Hashtag Segmentation

Dataset Summary

Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..

Languages

English

Dataset Structure

Data Instances

{
    "index": 300,
    "hashtag": "microsoftfail",
    "segmentation": "microsoft fail",
    "alternatives": {
        "segmentation": [
            "Microsoft fail"
        ]
    }
}

Data Fields

index: a numerical index.
hashtag: the original hashtag.
segmentation: the gold segmentation for the hashtag.
alternatives: other segmentations that are also accepted as a gold segmentation.

Although segmentation has exactly the same characters as hashtag except for the spaces, the segmentations inside alternatives may have characters corrected to uppercase.

Citation Information

@misc{bansal2015deep,
      title={Towards Deep Semantic Analysis Of Hashtags}, 
      author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
      year={2015},
      eprint={1501.03210},
      archivePrefix={arXiv},
      primaryClass={cs.IR}
}

Contributions

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