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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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languages:
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- en
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licenses:
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|
- unknown
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|
multilinguality:
|
|
- 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,
|
|
3,
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|
4,
|
|
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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### 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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|
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This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library. |
