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--- |
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language: |
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- en |
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--- |
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# AutoTrain Dataset for project: mysheet |
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## Dataset Description |
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This dataset has been automatically processed by AutoTrain for project mysheet. |
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### Languages |
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The BCP-47 code for the dataset's language is en. |
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## Dataset Structure |
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### Data Instances |
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A sample from this dataset looks as follows: |
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```json |
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[ |
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{ |
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"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.", |
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"question": "What is pseudocode?", |
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"answers.text": [ |
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"Pseudocode is breaking down your code in English." |
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], |
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"answers.answer_start": [ |
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33 |
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] |
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}, |
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{ |
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"context": "Python is an interactive programming language designed for API and Machine Learning use.", |
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"question": "What is Python?", |
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"answers.text": [ |
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"Python is an interactive programming language." |
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], |
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"answers.answer_start": [ |
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0 |
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] |
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} |
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] |
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``` |
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### Dataset Fields |
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The dataset has the following fields (also called "features"): |
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```json |
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{ |
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"context": "Value(dtype='string', id=None)", |
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"question": "Value(dtype='string', id=None)", |
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"answers.text": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)", |
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"answers.answer_start": "Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None)" |
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} |
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``` |
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### Dataset Splits |
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This dataset is split into a train and validation split. The split sizes are as follow: |
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| Split name | Num samples | |
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| ------------ | ------------------- | |
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| train | 3 | |
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| valid | 1 | |
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