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---
language:
- en
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
task_categories:
- feature-extraction
- sentence-similarity
pretty_name: Amazon QA
tags:
- sentence-transformers
dataset_info:
config_name: pair
features:
- name: query
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 837921623
num_examples: 2507114
download_size: 416707894
dataset_size: 837921623
configs:
- config_name: pair
data_files:
- split: train
path: pair/train-*
---
# 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 |