Lots-of-LoRAs/task153_tomqa_find_location_hard_clean

该数据集名为task153_tomqa_find_location_hard_clean，主要用于文本生成任务，特别是与寻找位置相关的任务。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5200、650和650个样本。数据集的创建者是通过众包方式完成的，语言为英语，许可证为Apache-2.0。

The dataset named task153_tomqa_find_location_hard_clean is primarily used for text generation tasks, particularly those related to finding locations. The dataset includes three features: input, output, and ID. It is divided into training, validation, and test sets, containing 5200, 650, and 650 samples respectively. The dataset was created through crowdsourcing, is in English, and is licensed under Apache-2.0.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task153_tomqa_find_location_hard_clean
• 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)

数据集结构

• 特征:
  • input: 字符串类型 (string)
  • output: 字符串类型 (string)
  • id: 字符串类型 (string)

数据集划分

• 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}, }