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--- |
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annotations_creators: |
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- machine-generated |
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language_creators: |
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- machine-generated |
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language: |
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- hi |
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- en |
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license: |
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- unknown |
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multilinguality: |
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- multilingual |
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size_categories: |
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- unknown |
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source_datasets: |
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- original |
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task_categories: |
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- structure-prediction |
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task_ids: [] |
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pretty_name: HashSet Distant Sampled |
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tags: |
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- word-segmentation |
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--- |
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|
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# Dataset Card for HashSet Distant Sampled |
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## Dataset Description |
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- **Repository:** [prashantkodali/HashSet](https://github.com/prashantkodali/HashSet) |
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- **Paper:** [HashSet -- A Dataset For Hashtag Segmentation](https://arxiv.org/abs/2201.06741) |
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### Dataset Summary |
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Hashset is a new dataset consisting on 1.9k manually annotated and 3.3M loosely supervised tweets for testing the |
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efficiency of hashtag segmentation models. We compare State of The Art Hashtag Segmentation models on Hashset and other |
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baseline datasets (STAN and BOUN). We compare and analyse the results across the datasets to argue that HashSet can act |
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as a good benchmark for hashtag segmentation tasks. |
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|
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HashSet Distant: 3.3M loosely collected camel cased hashtags containing hashtag and their segmentation. |
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HashSet Distant Sampled is a sample of 20,000 camel cased hashtags from the HashSet Distant dataset. |
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### Languages |
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Hindi and English. |
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|
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## Dataset Structure |
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### Data Instances |
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|
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``` |
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{ |
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'index': 282559, |
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'hashtag': 'Youth4Nation', |
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'segmentation': 'Youth 4 Nation' |
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} |
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``` |
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|
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## Dataset Creation |
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|
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- All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`. |
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- 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. |
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- There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ). |
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- If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field. |
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## Additional Information |
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### Citation Information |
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``` |
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@article{kodali2022hashset, |
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title={HashSet--A Dataset For Hashtag Segmentation}, |
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author={Kodali, Prashant and Bhatnagar, Akshala and Ahuja, Naman and Shrivastava, Manish and Kumaraguru, Ponnurangam}, |
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journal={arXiv preprint arXiv:2201.06741}, |
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year={2022} |
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} |
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``` |
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|
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### Contributions |
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|
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This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library. |
