数据集:
ruanchaves/test_stanford
语言:
en计算机处理:
monolingual语言创建人:
machine-generated批注创建人:
expert-generated源数据集:
original预印本库:
arxiv:1501.03210许可:
license:unknownManually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..
English
{ "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" ] } }
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.
@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} }
This dataset was added by @ruanchaves while developing the hashformers library.