Lots-of-LoRAs/task821_protoqa_question_generation

数据集名为task821_protoqa_question_generation，主要用于文本生成任务。数据集的创建者是通过众包方式进行的，语言为英语。数据集包含三个部分：训练集（4000个样本）、验证集（500个样本）和测试集（500个样本）。每个样本包含输入、输出和ID三个特征。数据集的详细信息可以在GitHub页面和两篇相关的arXiv论文中找到。

The dataset named task821_protoqa_question_generation is primarily used for text generation tasks. The dataset creators are crowdsourced, and the language is English. The dataset consists of three parts: a training set (4000 samples), a validation set (500 samples), and a test set (500 samples). Each sample contains three features: input, output, and ID. More details about the dataset can be found on the GitHub page and in two related arXiv papers.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task821_protoqa_question_generation
• 数据集类型: 文本生成
• 语言: 英语
• 许可证: Apache 2.0
• 创建者: 众包
• 标注者: 众包

数据集结构

• 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: 4000个样本
  • 验证集: 500个样本
  • 测试集: 500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]