Lots-of-LoRAs/task1158_bard_analogical_reasoning_manipulating_items

该数据集名为task1158_bard_analogical_reasoning_manipulating_items，属于文本生成任务类别。数据集包含300个训练样本、38个验证样本和38个测试样本。每个样本包含输入、输出和ID三个特征，数据类型均为字符串。数据集的创建方式为众包，语言为英语，许可证为Apache-2.0。数据集的详细信息可以在其主页和相关论文中找到。

The dataset, named task1158_bard_analogical_reasoning_manipulating_items, falls under the text-generation task category. It includes 300 training examples, 38 validation examples, and 38 test examples. Each example contains three features: input, output, and ID, all of which are of string type. The dataset was created through crowdsourcing, is in English, and is licensed under Apache-2.0. More details about the dataset can be found on its homepage and in the related papers.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task1158_bard_analogical_reasoning_manipulating_items
• 语言: 英语 (en)
• 许可证: Apache 2.0
• 任务类别: 文本生成 (text-generation)
• 数据集别名: plain_text

数据集结构

特征

• 输入: 字符串 (string)
• 输出: 字符串 (string)
• ID: 字符串 (string)

数据分割

• 训练集: 300 个样本
• 验证集: 38 个样本
• 测试集: 38 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}, }