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kelvinyasu/autotrain-data-xcdn2

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Hugging Face2023-08-04 更新2024-03-04 收录
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https://hf-mirror.com/datasets/kelvinyasu/autotrain-data-xcdn2
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资源简介:
--- language: - en --- # AutoTrain Dataset for project: xcdn2 ## Dataset Description This dataset has been automatically processed by AutoTrain for project xcdn2. ### 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": "To be eligible for the PMP certification, you need to meet certain educational and professional experience requirements. The prerequisites depend on your level of education.", "question": "What are the prerequisites for PMP certification?", "answers.text": [ "To be eligible for the PMP certification, you need to meet certain educational and professional experience requirements. The prerequisites depend on your level of education." ], "answers.answer_start": [ 0 ] }, { "context": "Project management is the practice of initiating, planning, executing, controlling, and closing the work of a team to achieve specific goals and meet specific success criteria.", "question": "What is project management?", "answers.text": [ "Project management is the practice of initiating, planning, executing, controlling, and closing the work of a team to achieve specific goals and meet specific success criteria." ], "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 | 8 | | valid | 2 |
提供机构:
kelvinyasu
原始信息汇总

AutoTrain Dataset for project: xcdn2

数据集描述

该数据集是为项目xcdn2自动处理的。

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": "To be eligible for the PMP certification, you need to meet certain educational and professional experience requirements. The prerequisites depend on your level of education.", "question": "What are the prerequisites for PMP certification?", "answers.text": [ "To be eligible for the PMP certification, you need to meet certain educational and professional experience requirements. The prerequisites depend on your level of education." ], "answers.answer_start": [ 0 ] }, { "context": "Project management is the practice of initiating, planning, executing, controlling, and closing the work of a team to achieve specific goals and meet specific success criteria.", "question": "What is project management?", "answers.text": [ "Project management is the practice of initiating, planning, executing, controlling, and closing the work of a team to achieve specific goals and meet specific success criteria." ], "answers.answer_start": [ 0 ] } ]

数据集字段

数据集包含以下字段:

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

数据集被分割为训练集和验证集,分割大小如下:

分割名称 样本数量
训练集 8
验证集 2
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