Lots-of-LoRAs/task304_numeric_fused_head_resolution

该数据集是Natural Instructions项目的一部分，具体任务为task304_numeric_fused_head_resolution。数据集包含5199个训练样本、650个验证样本和650个测试样本。每个样本包含输入、输出和ID三个字段。数据集的主要用途是文本生成任务。相关论文详细介绍了该数据集的构建和使用方法。

This dataset is part of the Natural Instructions project, specifically for the task304_numeric_fused_head_resolution. The dataset contains 5199 training examples, 650 validation examples, and 650 test examples. Each example includes input, output, and ID fields. The primary use of the dataset is for text generation tasks. Related papers provide detailed information on the construction and usage of the dataset.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task304_numeric_fused_head_resolution
• 任务类别: 文本生成
• 语言: 英语
• 许可证: Apache 2.0
• 数据集创建者: 众包
• 注释创建者: 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: 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]