Lots-of-LoRAs/task072_abductivenli_answer_generation

该数据集名为task072_abductivenli_answer_generation，属于文本生成任务类别。数据集包含5200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三个特征，数据类型均为字符串。数据集的主页和相关的论文提供了更多关于数据集的详细信息。

The dataset is named task072_abductivenli_answer_generation and belongs to the text-generation task category. It contains 5200 training samples, 650 validation samples, and 650 test samples. Each sample includes three features: input, output, and ID, all of which are of string data type. The datasets homepage and related papers provide more detailed information about the dataset.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task072_abductivenli_answer_generation
• 任务类别: 文本生成
• 语言: 英语
• 许可证: Apache 2.0
• 标注创建者: 众包
• 语言创建者: 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: 5200个样本
  • 验证集: 650个样本
  • 测试集: 650个样本

引用信息

• 主要引用: 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}, }

• 额外引用: 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]