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- license: other
 
 
 
 
 
 
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+ license: cc-by-sa-3.0
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+ task_categories:
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+ - question-answering
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+ - sentence-similarity
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+ - feature-extraction
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+ language:
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+ - en
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  ---
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+
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+ # Dataset Card for "nq"
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+
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+ ## Table of Contents
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Additional Information](#additional-information)
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+ - [Licensing Information](#licensing-information)
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+
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+ ## Dataset Description
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+
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+
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+ - **Homepage:** [https://ai.google.com/research/NaturalQuestions](https://ai.google.com/research/NaturalQuestions)
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+
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+ ### Dataset Summary
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+
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+ This is a modified version of the original Natural Questions (nq) dataset for qa tasks. The original is availabe [here](https://ai.google.com/research/NaturalQuestions).
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+
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+ Each sample was preprocessed into a squadlike format. The context was shortened from an entire wikipedia article into the passage containing the answer.
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ An example of 'train' looks as follows.
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+
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+ ```json
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+ {
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+ "context": "The 2017 Major League Baseball All - Star Game was the 88th edition of the Major League Baseball All Star Game. The game was",
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+ "question": "where is the 2017 baseball all-star game being played",
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+ "answers":
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+ {
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+ "text":["Marlins Park"],
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+ "answer_start":[171]
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+ }
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ The data fields are the same among all splits.
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+
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+ - `question`: a `string` feature.
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+ - `context`: a `string` feature.
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+ - - `answers`: a dictionary feature containing:
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+ - `text`: a `string` feature.
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+ - `answer_start`: a `int32` feature.
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+
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+ ## Additional Information
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+
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+ ### Licensing Information
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+
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+ This dataset is distributed under the cc-by-sa-3.0 license.