Lots-of-LoRAs/task035_winogrande_question_modification_person

该数据集名为Natural Instructions，是一个用于文本生成任务的数据集，包含1600多个NLP任务。数据集通过众包方式创建，语言为英语，采用Apache 2.0许可证。数据集包含输入、输出和ID三个特征，分为训练集、验证集和测试集，分别包含5199、650和650个样本。数据集的相关信息可以在GitHub页面和两篇论文中找到。

The dataset is named Natural Instructions and is designed for text-generation tasks, encompassing over 1600 NLP tasks. It was created through crowdsourcing, is in English, and is licensed under Apache 2.0. The dataset includes features such as input, output, and ID, and is divided into training, validation, and test sets with 5199, 650, and 650 examples respectively. Further details about the dataset can be found on its GitHub page and in two associated papers.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task035_winogrande_question_modification_person
• 语言: 英语
• 许可证: Apache 2.0
• 任务类别: 文本生成

数据集详情

• 配置名称: plain_text
• 特征:
  • 输入: 字符串
  • 输出: 字符串
  • ID: 字符串
• 数据分割:
  • 训练集: 5199个样本
  • 验证集: 650个样本
  • 测试集: 650个样本

引用信息

• 主要论文: bibtex @misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions, title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}, author={Yizhong Wang and Swaroop Mishra and Pegah Alipoormolabashi and Yeganeh Kordi and Amirreza Mirzaei and Anjana Arunkumar and Arjun Ashok and Arut Selvan Dhanasekaran and Atharva Naik and David Stap and Eshaan Pathak and Giannis Karamanolakis and Haizhi Gary Lai and Ishan Purohit and Ishani Mondal and Jacob Anderson and Kirby Kuznia and Krima Doshi and Maitreya Patel and Kuntal Kumar Pal and Mehrad Moradshahi and Mihir Parmar and Mirali Purohit and Neeraj Varshney and Phani Rohitha Kaza and Pulkit Verma and Ravsehaj Singh Puri and Rushang Karia and Shailaja Keyur Sampat and Savan Doshi and Siddhartha Mishra and Sujan Reddy and Sumanta Patro and Tanay Dixit and Xudong Shen and Chitta Baral and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi and Daniel Khashabi}, year={2022}, eprint={2204.07705}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2204.07705}, }

• 补充论文: bibtex @misc{brüelgabrielsson2024compressserveservingthousands, title={Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead}, author={Rickard Brüel-Gabrielsson and Jiacheng Zhu and Onkar Bhardwaj and Leshem Choshen and Kristjan Greenewald and Mikhail Yurochkin and Justin Solomon}, year={2024}, eprint={2407.00066}, archivePrefix={arXiv}, primaryClass={cs.DC}, url={https://arxiv.org/abs/2407.00066}, }

联系信息

• 联系人: Rickard Brüel Gabrielsson
• 邮箱: [e-mail]