Datasets:
Languages:
English
Multilinguality:
monolingual
Size Categories:
unknown
Language Creators:
machine-generated
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
word-segmentation
License:
annotations_creators: | |
- expert-generated | |
language_creators: | |
- machine-generated | |
languages: | |
- en | |
licenses: | |
- unknown | |
multilinguality: | |
- monolingual | |
pretty_name: STAN Small | |
size_categories: | |
- unknown | |
source_datasets: | |
- original | |
task_categories: | |
- structure-prediction | |
- conditional-text-generation | |
task_ids: | |
- structure-prediction-other-word-segmentation | |
# Dataset Card for STAN Small | |
## Dataset Description | |
- **Repository:** [mounicam/hashtag_master](https://github.com/mounicam/hashtag_master) | |
- **Paper:** [Multi-task Pairwise Neural Ranking for Hashtag Segmentation](https://aclanthology.org/P19-1242/) | |
### Dataset Summary | |
Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al.. | |
### Languages | |
English | |
## Dataset Structure | |
### Data Instances | |
``` | |
{ | |
"index": 300, | |
"hashtag": "microsoftfail", | |
"segmentation": "microsoft fail", | |
"alternatives": { | |
"segmentation": [ | |
"Microsoft fail" | |
] | |
} | |
} | |
``` | |
### Data Fields | |
- `index`: a numerical index. | |
- `hashtag`: the original hashtag. | |
- `segmentation`: the gold segmentation for the hashtag. | |
- `alternatives`: other segmentations that are also accepted as a gold segmentation. | |
Although `segmentation` has exactly the same characters as `hashtag` except for the spaces, the segmentations inside `alternatives` may have characters corrected to uppercase. | |
## Dataset Creation | |
- All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`. | |
- 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. | |
- There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ). | |
- If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field. | |
### 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](https://github.com/ruanchaves) while developing the [hashformers](https://github..com/ruanchaves/hashformers) library. |