Datasets:
metadata
annotations_creators:
- expert-generated
language_creators:
- machine-generated
languages:
- en
licenses:
- 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
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 thesegmentation
field inside therank
.rank
: Rank of each candidate selected by a baseline word segmenter ( Segmentations Seeder Module ).
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.