Lots-of-LoRAs/task504_count_all_alphabetical_elements_in_list

该数据集名为task504_count_all_alphabetical_elements_in_list，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，输入和输出的数据类型为字符串。数据集的创建者和语言创建者均为众包，语言为英语，许可证为Apache-2.0。数据集的具体用途和内容未在README中详细描述。

The dataset is named task504_count_all_alphabetical_elements_in_list and belongs to the text-generation task category. It contains 5200 training examples, 650 validation examples, and 650 test examples. Each example includes three features: input, output, and ID, with both input and output being of string type. The datasets creators and language creators are crowdsourced, the language is English, and the license is Apache-2.0. The specific use case and content of the dataset are not detailed in the README.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task504_count_all_alphabetical_elements_in_list
• 数据集别名: task504_count_all_alphabetical_elements_in_list
• 任务类别: 文本生成
• 语言: 英语
• 许可证: Apache 2.0
• 数据创建者: 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: 5200 条数据
  • 验证集: 650 条数据
  • 测试集: 650 条数据

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]