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Lots-of-LoRAs/task689_mmmlu_answer_generation_college_mathematics

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Hugging Face2024-07-16 更新2024-07-06 收录
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资源简介:
该数据集名为task689_mmmlu_answer_generation_college_mathematics,主要用于文本生成任务,特别是与大学数学相关的答案生成。数据集包含训练集、验证集和测试集,分别有90、11和12个样本。每个样本包含输入、输出和ID三个特征。数据集的语言为英语,创建方式为众包,许可证为Apache-2.0。

The dataset is named task689_mmmlu_answer_generation_college_mathematics and is primarily used for text generation tasks, specifically for generating answers related to college mathematics. The dataset includes training, validation, and test sets with 90, 11, and 12 samples respectively. Each sample contains three features: input, output, and ID. The dataset is in English, created through crowdsourcing, and licensed under Apache-2.0.
提供机构:
Lots-of-LoRAs
原始信息汇总

数据集概述

基本信息

  • 数据集名称: task689_mmmlu_answer_generation_college_mathematics
  • 任务类别: 文本生成
  • 语言: 英语
  • 许可证: Apache 2.0
  • 数据集创建者: 众包
  • 标注创建者: 众包

数据集结构

  • 配置名称: plain_text
  • 特征:
    • input: 字符串类型
    • output: 字符串类型
    • id: 字符串类型

数据集划分

  • 训练集: 90个样本
  • 验证集: 11个样本
  • 测试集: 12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}, }

  • 补充引用: 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: brg@mit.edu
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