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--- |
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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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# Dataset Card for "nq" |
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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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## Dataset Description |
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- **Homepage:** [https://ai.google.com/research/NaturalQuestions](https://ai.google.com/research/NaturalQuestions) |
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### Dataset Summary |
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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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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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### Data Instances |
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An example of 'train' looks as follows. |
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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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### Data Fields |
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The data fields are the same among all splits. |
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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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## Additional Information |
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### Licensing Information |
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This dataset is distributed under the cc-by-sa-3.0 license. |
