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