|
--- |
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annotations_creators: |
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- expert-generated |
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language_creators: |
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- machine-generated |
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language: |
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- en |
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license: |
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- unknown |
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multilinguality: |
|
- monolingual |
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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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- token-classification |
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task_ids: [] |
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pretty_name: SNAP |
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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 SNAP |
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## Dataset Description |
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- **Repository:** [ardax/hashtag-segmentor](https://github.com/ardax/hashtag-segmentor) |
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- **Paper:** [Segmenting hashtags using automatically created training data](http://www.lrec-conf.org/proceedings/lrec2016/pdf/708_Paper.pdf) |
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### Dataset Summary |
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Automatically segmented 803K SNAP Twitter Data Set hashtags with the heuristic described in the paper "Segmenting hashtags using automatically created training data". |
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### Languages |
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English |
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## Dataset Structure |
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### Data Instances |
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``` |
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{ |
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"index": 0, |
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"hashtag": "BrandThunder", |
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"segmentation": "Brand Thunder" |
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} |
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``` |
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### Data Fields |
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- `index`: a numerical index. |
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- `hashtag`: the original hashtag. |
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- `segmentation`: the gold segmentation for the hashtag. |
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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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@inproceedings{celebi2016segmenting, |
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title={Segmenting hashtags using automatically created training data}, |
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author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan}, |
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booktitle={Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)}, |
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pages={2981--2985}, |
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year={2016} |
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} |
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``` |
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### Contributions |
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This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library. |
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|
