Lots-of-LoRAs/task365_synthetic_remove_vowels

该数据集名为task365_synthetic_remove_vowels，属于文本生成任务类别，主要用于处理英文文本。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5174、647和647个样本。数据集通过众包方式创建，并遵循Apache 2.0许可证。

This dataset is a crowdsourced text generation task dataset, licensed under Apache 2.0. It includes three fields: input, output, and ID, all of which are string type. The dataset is divided into train, validation, and test sets, containing 5174, 647, and 647 samples respectively.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task365_synthetic_remove_vowels
• 语言: 英语 (en)
• 许可证: Apache 2.0
• 任务类别: 文本生成
• 配置名称: plain_text

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: 5174 个样本
• 验证集: 647 个样本
• 测试集: 647 个样本

引用信息

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}, }

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}, }