presencesw/decompose_question_BAMBOOGLE_FERMI
收藏Hugging Face2023-11-10 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/presencesw/decompose_question_BAMBOOGLE_FERMI
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资源简介:
该数据集名为decompose_question_BAMBOOGLE_FERMI,主要用于处理复杂问题的分解。每个样本包含一个复杂问题、一个实体列表、多个三元组(每个三元组包含一个问题)和一个答案。数据集的训练集包含8878个样本,总大小为1784299字节。
This dataset is named decompose_question_BAMBOOGLE_FERMI, which is primarily designed for complex question decomposition. Each sample comprises a complex question, an entity list, multiple triples (each containing a question), and an answer. The training split of this dataset contains 8878 samples with a total size of 1784299 bytes.
提供机构:
presencesw
原始信息汇总
数据集概述
数据集信息
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特征列表:
entities: 序列类型,值为 nulltriplets: 列表类型,包含以下字段:question: 字符串类型
answer: 字符串类型complex_question: 字符串类型
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数据分割:
train:- 字节数: 1784299
- 样本数量: 8878
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数据大小:
- 下载大小: 344213 字节
- 数据集大小: 1784299 字节
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配置:
default:- 数据文件:
train: 路径为data/train-*
- 数据文件:
数据样本结构
json { "complex_question": "Does Mercury help detect coronavirus?", "entities": [], "triples": [ { "question": "What is the name of the coronavirus?", }, { "question": "Does Mercury help detect COVID-19?", }, { "question": "What is mercury used to detect?", }, { "question": "What are some symtoms of coronavirus?", } ], "answer": "" }
搜集汇总
数据集介绍

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