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dmayhem93/agieval-gaokao-chemistry

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Hugging Face2023-06-18 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/dmayhem93/agieval-gaokao-chemistry
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资源简介:
--- dataset_info: features: - name: query dtype: string - name: choices sequence: string - name: gold sequence: int64 splits: - name: test num_bytes: 173207 num_examples: 207 download_size: 78411 dataset_size: 173207 license: mit --- # Dataset Card for "agieval-gaokao-chemistry" Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo. MIT License Copyright (c) Microsoft Corporation. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE @misc{zhong2023agieval, title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models}, author={Wanjun Zhong and Ruixiang Cui and Yiduo Guo and Yaobo Liang and Shuai Lu and Yanlin Wang and Amin Saied and Weizhu Chen and Nan Duan}, year={2023}, eprint={2304.06364}, archivePrefix={arXiv}, primaryClass={cs.CL} }

dataset_info: 数据集信息: features: 特征字段: - 名称:查询项(query),数据类型:字符串(string) - 名称:选项集(choices),序列类型:字符串(string) - 名称:标准答案(gold),序列类型:64位整数(int64) splits: 数据集划分: - 划分名称:测试集(test),字节大小:173207,样本数量:207 download_size: 78411,数据集总大小:173207 license: MIT许可证(mit) --- # "AGIEval高考化学(agieval-gaokao-chemistry)"数据集卡片 本数据集源自微软(Microsoft)开源仓库https://github.com/microsoft/AGIEval,并已按照该仓库中的流程完成预处理。 ## MIT许可证 版权所有 © 微软公司(Microsoft Corporation)。 兹免费授权任何获取本软件及相关文档(以下简称"本软件")的人员,可不受限制地使用本软件,包括但不限于使用、复制、修改、合并、发布、分发、再许可及销售本软件副本,并允许本软件的接收方在遵循以下条件的前提下使用本软件: 本软件的所有完整副本或实质部分中,均需包含上述版权声明与本许可声明。 本软件按"现状"提供,无任何明示或默示的担保,包括但不限于适销性、特定用途适用性及非侵权担保。在任何情况下,作者或版权持有人均不对因本软件的使用或其他交易引发的任何索赔、损害或其他责任承担责任,无论该责任源于合同、侵权行为或其他事由。 ## 引用文献 @misc{zhong2023agieval, title={AGIEval:面向基础模型评估的以人为中心的基准测试集}, author={Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan}, year={2023}, eprint={2304.06364}, archivePrefix={arXiv}, primaryClass={cs.CL} }
提供机构:
dmayhem93
原始信息汇总

数据集概述

数据集名称

"agieval-gaokao-chemistry"

数据集特征

  • query: 数据类型为字符串(string)。
  • choices: 数据类型为字符串序列(sequence: string)。
  • gold: 数据类型为整数序列(sequence: int64)。

数据集拆分

  • test: 包含207个样本,数据大小为173207字节。

数据集大小

  • 下载大小: 78411字节
  • 数据集大小: 173207字节

许可证

MIT License

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