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Lots-of-LoRAs/task740_lhoestq_answer_generation_quantity

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Hugging Face2024-07-16 更新2024-07-06 收录
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https://hf-mirror.com/datasets/Lots-of-LoRAs/task740_lhoestq_answer_generation_quantity
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资源简介:
该数据集是一个用于文本生成任务的数据集,具体任务为回答生成数量任务。数据集包含输入、输出和ID三个特征,并分为训练集、验证集和测试集。训练集包含94个样本,验证集和测试集各包含12个样本。数据集的主页和相关论文提供了更多详细信息。

This dataset is designed for text generation tasks, specifically for answer generation quantity tasks. It includes features such as input, output, and ID, and is divided into training, validation, and test sets. The training set contains 94 examples, while the validation and test sets each contain 12 examples. More details can be found on the datasets homepage and related papers.
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: task740_lhoestq_answer_generation_quantity
  • 任务类别: 文本生成
  • 语言: 英语
  • 许可证: Apache 2.0
  • 标注创建者: 众包
  • 语言创建者: 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

数据分割

  • 训练集: 94个样本
  • 验证集: 12个样本
  • 测试集: 12个样本

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: brg@mit.edu
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