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Lots-of-LoRAs/task1216_atomic_classification_causes

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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/task1216_atomic_classification_causes
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资源简介:
该数据集是通过众包方式创建的,用于文本生成任务。数据集包含输入、输出和ID三个特征,分为训练、验证和测试三个部分,分别包含559、70和70个样本。数据集的名称是task1216_atomic_classification_causes,许可证为apache-2.0。

This dataset is crowdsourced and used for text generation tasks. It includes three features: input, output, and ID, divided into train, valid, and test splits with 559, 70, and 70 examples respectively. The dataset is named task1216_atomic_classification_causes, 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: task1216_atomic_classification_causes
  • 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
  • 标注创建者: 众包
  • 语言创建者: 众包

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: 559个样本
  • 验证集: 70个样本
  • 测试集: 70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}, }

联系信息

  • 联系人: Rickard Brüel Gabrielsson
  • 邮箱: brg@mit.edu
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