metadata

annotations_creators:
  - expert-generated
language_creators:
  - machine-generated
language:
  - en
license:
  - unknown
multilinguality:
  - monolingual
pretty_name: Test-Stanford
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - structure-prediction
task_ids:
  - structure-prediction-other-word-segmentation

Dataset Card for Test-Stanford

Dataset Description

Paper: Towards Deep Semantic Analysis Of Hashtags

Dataset Summary

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

Languages

English

Dataset Structure

Data Instances

{
    "index": 1467856821,
    "hashtag": "therapyfail",
    "segmentation": "therapy fail",
    "gold_position": 8,
    "rank": {
        "position": [
            1,
            2,
            3,
            4,
            5,
            6,
            7,
            8,
            9,
            10,
            11,
            12,
            13,
            14,
            15,
            16,
            17,
            18,
            19,
            20
        ],
        "candidate": [
            "therap y fail",
            "the rap y fail",
            "t her apy fail",
            "the rap yfail",
            "t he rap y fail",
            "thera py fail",
            "ther apy fail",
            "th era py fail",
            "therapy fail",
            "therapy fai l",
            "the r apy fail",
            "the rapyfa il",
            "the rapy fail",
            "t herapy fail",
            "the rapyfail",
            "therapy f ai l",
            "therapy fa il",
            "the rapyf a il",
            "therapy f ail",
            "the ra py fail"
        ]
    }
}

Data Fields

index: a numerical index annotated by Kodali et al..
hashtag: the original hashtag.
segmentation: the gold segmentation for the hashtag.
gold_position: position of the gold segmentation on the segmentation field inside the rank.
rank: Rank of each candidate selected by a baseline word segmenter ( Segmentations Seeder Module ).

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

@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.