公开数据集
数据结构 ? 1M
Data Structure ?
* 以上分析是由系统提取分析形成的结果,具体实际数据为准。
README.md
Data Set Information:
There are 4 versions of the dataset:
- data_full.json: each of the 150 in-domain intent classes have 100 train, 20 val, and 30 test samples. The out-of-domain class has 100 train, 100 val, and 1,000 test samples. Note that the out-of-domain class does not necessarily need to be used at training time. This is the main version of the dataset.
- data_small.json: each of the 150 in-domain intent classes have 50 train, 20 val, and 30 test samples. The out-of-domain class has 100 train, 100 val, and 1,000 test samples. Note that the out-of-domain class does not necessarily need to be used at training time.
- data_imbalanced.json: each of the 150 in-domain intent classes have either 25, 50, 75, or 100 train, 20 val, and 30 samples. The out-of-domain class has 100 train, 100 val, and 1,000 test samples. Note that the out-of-domain class does not necessarily need to be used at training time.
- data_oos_plus.json: same as data_full.json except there are 250 out-of-domain training samples.
Attribute Information:
All samples are in text format. No tokenization has been applied. Users of this dataset are free to use whatever sentence representation (e.g. bag-of-words, sentence embeddings) they choose.
Relevant Papers:
This dataset is from this paper: [Web link]
'Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, and Jason Mars. 2019. An evaluation dataset for intent classification and out-of-scope prediction. In Proceedings of EMNLP-IJCNLP.'
Citation Request:
Please cite as: 'Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, and Jason Mars. 2019. An evaluation dataset for intent classification and out-of-scope prediction. In Proceedings of EMNLP-IJCNLP.'
Bibtex link: [Web link]
Paper link: [Web link]
Email contact: stefan.dataset '@' gmail.com
Please cite as: 'Stefan Larson, Anish Mahendran, Joseph J. Peper,
Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld,
Kevin Leach, Michael A. Laurenzano, Lingjia Tang, and Jason Mars. 2019.
An evaluation dataset for intent classification and out-of-scope
prediction. In Proceedings of EMNLP-IJCNLP.'
Bibtex link: https://www.aclweb.org/anthology/D19-1131.bib
Paper link: https://www.aclweb.org/anthology/D19-1131/
Email contact: stefan.dataset '@' gmail.com
帕依提提提温馨提示
该数据集正在整理中,为您准备了其他渠道,请您使用
- 分享你的想法
全部内容
数据使用声明:
- 1、该数据来自于互联网数据采集或服务商的提供,本平台为用户提供数据集的展示与浏览。
- 2、本平台仅作为数据集的基本信息展示、包括但不限于图像、文本、视频、音频等文件类型。
- 3、数据集基本信息来自数据原地址或数据提供方提供的信息,如数据集描述中有描述差异,请以数据原地址或服务商原地址为准。
- 1、本站中的所有数据集的版权都归属于原数据发布者或数据提供方所有。
- 1、如您需要转载本站数据,请保留原数据地址及相关版权声明。
- 1、如本站中的部分数据涉及侵权展示,请及时联系本站,我们会安排进行数据下线。