five

Lots-of-LoRAs/task695_mmmlu_answer_generation_electrical_engineering

收藏
Hugging Face2024-07-16 更新2024-07-06 收录
下载链接:
https://hf-mirror.com/datasets/Lots-of-LoRAs/task695_mmmlu_answer_generation_electrical_engineering
下载链接
链接失效反馈
官方服务:
资源简介:
该数据集名为task695_mmmlu_answer_generation_electrical_engineering,属于文本生成任务类别。数据集包含131个训练样本、16个验证样本和17个测试样本。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,创建者和注释者均为众包。数据集的许可证为Apache-2.0。

The dataset is named task695_mmmlu_answer_generation_electrical_engineering and belongs to the text generation task category. It contains 131 training samples, 16 validation samples, and 17 test samples. Each sample includes three features: input, output, and ID. The dataset is in English, and both the creators and annotators are crowdsourced. The dataset is 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: task695_mmmlu_answer_generation_electrical_engineering
  • 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

  • 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: 131个样本
  • 验证集: 16个样本
  • 测试集: 17个样本

引用信息

  • 主要参考文献: 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}, }

  • 其他参考文献: 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
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作