Lots-of-LoRAs/task1567_propara_question_generation

该数据集名为task1567_propara_question_generation，属于文本生成任务。数据集包含160个训练样本、20个验证样本和20个测试样本。每个样本包含输入、输出和ID三个特征。数据集的主页和相关论文提供了更多详细信息。数据集由众包创建，语言为英语，使用Apache 2.0许可证。

The dataset is named task1567_propara_question_generation and belongs to the text generation task. It contains 160 training samples, 20 validation samples, and 20 test samples. Each sample includes three features: input, output, and ID. The datasets homepage and related papers provide more detailed information. The dataset is crowdsourced, in English, and licensed under Apache 2.0.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task1567_propara_question_generation
• 语言: 英语 (en)
• 许可证: Apache 2.0
• 任务类别: 文本生成
• 数据集配置: plain_text

数据集结构

特征

• input: 字符串类型
• output: 字符串类型
• id: 字符串类型

数据分割

• 训练集: 160个样本
• 验证集: 20个样本
• 测试集: 20个样本

引用信息

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}, }

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}, }