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---
language:
- en
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
task_categories:
- feature-extraction
- sentence-similarity
pretty_name: GooAQ
tags:
- sentence-transformers
dataset_info:
config_name: pair
features:
- name: question
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 915871810
num_examples: 3012496
download_size: 613248932
dataset_size: 915871810
configs:
- config_name: pair
data_files:
- split: train
path: pair/train-*
---
# Dataset Card for GooAQ
This dataset is a collection of question-answer pairs, collected from Google. See [GooAQ](https://github.com/allenai/gooaq) for additional information.
This dataset can be used directly with Sentence Transformers to train embedding models.
## Dataset Subsets
### `pair` subset
* Columns: "question", "answer"
* Column types: `str`, `str`
* Examples:
```python
{
'question': 'is toprol xl the same as metoprolol?',
'answer': 'Metoprolol succinate is also known by the brand name Toprol XL. It is the extended-release form of metoprolol. Metoprolol succinate is approved to treat high blood pressure, chronic chest pain, and congestive heart failure.',
}
```
* Collection strategy: Reading the GooAQ dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data).
* Deduplified: No
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