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LiveEvil/autotrain-data-mysheet

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Hugging Face2022-11-01 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/LiveEvil/autotrain-data-mysheet
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资源简介:
--- language: - en --- # AutoTrain Dataset for project: mysheet ## Dataset Description This dataset has been automatically processed by AutoTrain for project mysheet. ### Languages The BCP-47 code for the dataset's language is en. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "context": "The term \u201cpseudocode\u201d refers to writing code in a humanly understandable language such as English, and breaking it down to its core concepts.", "question": "What is pseudocode?", "answers.text": [ "Pseudocode is breaking down your code in English." ], "answers.answer_start": [ 33 ] }, { "context": "Python is an interactive programming language designed for API and Machine Learning use.", "question": "What is Python?", "answers.text": [ "Python is an interactive programming language." ], "answers.answer_start": [ 0 ] } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "context": "Value(dtype='string', id=None)", "question": "Value(dtype='string', id=None)", "answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)", "answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 3 | | valid | 1 |
提供机构:
LiveEvil
原始信息汇总

AutoTrain Dataset for project: mysheet

数据集描述

该数据集由AutoTrain自动处理,用于项目mysheet。

语言

数据集的语言BCP-47代码为en。

数据集结构

数据实例

数据集的样本示例如下:

json [ { "context": "The term u201cpseudocodeu201d refers to writing code in a humanly understandable language such as English, and breaking it down to its core concepts.", "question": "What is pseudocode?", "answers.text": [ "Pseudocode is breaking down your code in English." ], "answers.answer_start": [ 33 ] }, { "context": "Python is an interactive programming language designed for API and Machine Learning use.", "question": "What is Python?", "answers.text": [ "Python is an interactive programming language." ], "answers.answer_start": [ 0 ] } ]

数据集字段

数据集包含以下字段(特征):

json { "context": "Value(dtype=string, id=None)", "question": "Value(dtype=string, id=None)", "answers.text": "Sequence(feature=Value(dtype=string, id=None), length=-1, id=None)", "answers.answer_start": "Sequence(feature=Value(dtype=int32, id=None), length=-1, id=None)" }

数据集分割

数据集分为训练集和验证集,分割大小如下:

分割名称 样本数量
训练 3
验证 1
5,000+
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