Lots-of-LoRAs/task043_essential_terms_answering_incomplete_questions

该数据集名为task043_essential_terms_answering_incomplete_questions，属于文本生成任务类别。数据集包含1363个训练样本、170个验证样本和171个测试样本。每个样本包含输入、输出和ID三个特征，输入和输出均为字符串类型。数据集的语言为英语，创建者和注释者均为众包。数据集的许可证为Apache-2.0。数据集的相关信息可以在其GitHub主页和两篇相关论文中找到。

The dataset is named task043_essential_terms_answering_incomplete_questions and belongs to the text generation task category. It contains 1363 training samples, 170 validation samples, and 171 test samples. Each sample includes three features: input, output, and ID, with both input and output being string types. The datasets language is English, and both creators and annotators are crowdsourced. The dataset is licensed under Apache-2.0. More information about the dataset can be found on its GitHub homepage and in two related papers.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task043_essential_terms_answering_incomplete_questions
• 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 (text-generation)
• 标注创建者: 众包 (crowdsourced)
• 语言创建者: 众包 (crowdsourced)

数据集结构

• 特征:
  • 输入: 字符串 (string)
  • 输出: 字符串 (string)
  • ID: 字符串 (string)

数据集划分

• 训练集: 1363 个样本
• 验证集: 170 个样本
• 测试集: 171 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}, }

• 附加引用: 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]