amazon-qa

# Dataset Card for Amazon QA

This dataset is a collection of question-answer pairs collected from Amazon QA. See [Amazon QA](https://github.com/amazonqa/amazonqa) for additional information.
This dataset can be used directly with Sentence Transformers to train embedding models.

## Dataset Subsets

### `pair` subset

* Columns: "query", "answer"
* Column types: `str`, `str`
* Examples:
```python
{
'query': 'What size are the tiles and how thick and what material?',
'answer': 'Tiles are 12" x 12", about 1/2 inch thick and made of plastic (not grippy/rubbery). Light weight, but sturdy. Easy to put together.'
}
```
* Collection strategy: Reading the Amazon QA dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data).
* Deduplified: No

# Amazon QA 数据集卡片
本数据集为从Amazon QA（亚马逊问答数据集）中采集的问答对合集，更多详细信息可参阅[Amazon QA](https://github.com/amazonqa/amazonqa)项目页面。
本数据集可直接配合Sentence Transformers（句子转换器）用于嵌入模型的训练。

## 数据集子集

### `pair` 子集
* 列字段：`query`、`answer`
* 字段类型：均为字符串（`str`）
* 示例：
python
{
'query': '这些瓷砖尺寸多大、厚度多少、材质是什么？',
'answer': '瓷砖尺寸为12英寸×12英寸，厚度约1/2英寸，材质为塑料（非防滑橡胶质地）。重量轻盈但坚固耐用，组装简便。'
}

* 采集策略：从[embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data)数据集加载Amazon QA数据集
* 去重处理：否