Lots-of-LoRAs/task245_check_presence_in_set_intersection

该数据集名为Natural Instructions，主要用于文本生成任务。数据集包含输入、输出和ID三个特征，数据分为训练集、验证集和测试集，分别包含3092、386和387个样本。数据集的创建者是通过众包方式完成的，语言为英语，许可证为Apache-2.0。相关论文详细介绍了该数据集的设计和使用方法，建议在发表相关工作时引用这些论文。

The dataset is named Natural Instructions and is primarily used for text generation tasks. It includes features such as input, output, and ID, and is divided into training, validation, and test sets with 3092, 386, and 387 samples respectively. The dataset was created through crowdsourcing, is in English, and is licensed under Apache-2.0. Related papers provide detailed information on the design and usage of the dataset, and it is recommended to cite these papers when publishing related work.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task245_check_presence_in_set_intersection
• 数据集别名: plain_text
• 语言: 英语 (en)
• 许可证: Apache 2.0
• 任务类别: 文本生成
• 数据集创建者: 众包
• 标注创建者: 众包

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: 3092个样本
• 验证集: 386个样本
• 测试集: 387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}, }