Datasets:
Fix `license` metadata
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README.md
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---
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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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- en
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- unknown
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multilinguality:
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- monolingual
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pretty_name: Test-Stanford
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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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- structure-prediction-other-word-segmentation
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---
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# Dataset Card for Test-Stanford
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## Dataset Description
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- **Paper:** [Towards Deep Semantic Analysis Of Hashtags](https://arxiv.org/abs/1501.03210)
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### Dataset Summary
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Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
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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": 1467856821,
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"hashtag": "therapyfail",
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"segmentation": "therapy fail",
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"gold_position": 8,
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"rank": {
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"position": [
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1,
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2,
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3,
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4,
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5,
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6,
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7,
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8,
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9,
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10,
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11,
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12,
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13,
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14,
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15,
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16,
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17,
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18,
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19,
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20
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],
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"candidate": [
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"therap y fail",
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"the rap y fail",
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"t her apy fail",
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"the rap yfail",
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"t he rap y fail",
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"thera py fail",
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"ther apy fail",
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"th era py fail",
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"therapy fail",
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"therapy fai l",
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"the r apy fail",
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"the rapyfa il",
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"the rapy fail",
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"t herapy fail",
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"the rapyfail",
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"therapy f ai l",
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"therapy fa il",
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"the rapyf a il",
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"therapy f ail",
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"the ra py fail"
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]
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}
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}
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```
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### Data Fields
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- `index`: a numerical index annotated by Kodali et al..
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- `hashtag`: the original hashtag.
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- `segmentation`: the gold segmentation for the hashtag.
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- `gold_position`: position of the gold segmentation on the `segmentation` field inside the `rank`.
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- `rank`: Rank of each candidate selected by a baseline word segmenter ( Segmentations Seeder Module ).
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## Dataset Creation
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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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@misc{bansal2015deep,
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title={Towards Deep Semantic Analysis Of Hashtags},
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author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
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year={2015},
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eprint={1501.03210},
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archivePrefix={arXiv},
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primaryClass={cs.IR}
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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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---
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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:
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- monolingual
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pretty_name: Test-Stanford
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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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- structure-prediction-other-word-segmentation
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---
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# Dataset Card for Test-Stanford
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## Dataset Description
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- **Paper:** [Towards Deep Semantic Analysis Of Hashtags](https://arxiv.org/abs/1501.03210)
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+
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### Dataset Summary
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+
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Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
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+
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### Languages
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+
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English
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+
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## Dataset Structure
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+
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### Data Instances
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```
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{
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"index": 1467856821,
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"hashtag": "therapyfail",
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"segmentation": "therapy fail",
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"gold_position": 8,
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"rank": {
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"position": [
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1,
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2,
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3,
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4,
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5,
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6,
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7,
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8,
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9,
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10,
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11,
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12,
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13,
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14,
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15,
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16,
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17,
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18,
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19,
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20
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],
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"candidate": [
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"therap y fail",
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"the rap y fail",
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"t her apy fail",
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"the rap yfail",
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"t he rap y fail",
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"thera py fail",
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"ther apy fail",
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"th era py fail",
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"therapy fail",
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"therapy fai l",
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"the r apy fail",
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"the rapyfa il",
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"the rapy fail",
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"t herapy fail",
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"the rapyfail",
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"therapy f ai l",
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"therapy fa il",
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"the rapyf a il",
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"therapy f ail",
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"the ra py fail"
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]
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}
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}
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```
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+
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### Data Fields
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+
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+
- `index`: a numerical index annotated by Kodali et al..
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+
- `hashtag`: the original hashtag.
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+
- `segmentation`: the gold segmentation for the hashtag.
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+
- `gold_position`: position of the gold segmentation on the `segmentation` field inside the `rank`.
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+
- `rank`: Rank of each candidate selected by a baseline word segmenter ( Segmentations Seeder Module ).
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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`.
|
| 107 |
+
|
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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.
|
| 109 |
+
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+
- There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ).
|
| 111 |
+
|
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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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+
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## Additional Information
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+
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+
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### Citation Information
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+
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```
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@misc{bansal2015deep,
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title={Towards Deep Semantic Analysis Of Hashtags},
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author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
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+
year={2015},
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eprint={1501.03210},
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archivePrefix={arXiv},
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primaryClass={cs.IR}
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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.
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