LLukas22/nq-simplified

---
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.

原始信息汇总

数据集概述

数据集描述

数据集总结

• 本数据集是原始Natural Questions（nq）数据集的修改版本，专为问答任务设计。
• 每个样本已预处理为类似SQuAD的格式，将包含答案的段落从完整的维基百科文章中提取出来。

数据集结构

数据实例

• 示例数据结构如下： json { "context": "...", "question": "...", "answers": { "text": ["..."], "answer_start": [...] } }

数据字段

• question: 字符串类型。
• context: 字符串类型。
• answers: 字典类型，包含：
  • text: 字符串类型。
  • answer_start: 整数类型。

附加信息

许可信息

• 本数据集根据cc-by-sa-3.0许可发布。