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---
language:
- en
dataset_info:
features:
- name: query
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 30286
num_examples: 100
download_size: 24527
dataset_size: 30286
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- sentence-transformers
---
# Dataset Card for gooaq with mined hard negatives
This dataset is a collection of query-answer-negative triplets from the gooaq dataset. See [gooaq](https://huggingface.co./datasets/sentence-transformers/gooaq) for additional information. This dataset can be used directly with Sentence Transformers to train embedding models.
## Mining Parameters
The negative samples have been mined using the following parameters:
- `range_min`: 10, i.e. we skip the 10 most similar samples
- `range_max`: 20, i.e. we only look at the top 20 most similar samples
- `margin`: 0.1, i.e. we require negative similarity + margin < positive similarity, so negative samples can't be more similar than the known true answer
- `sampling_strategy`: random, i.e. whether to randomly sample from the candidate negatives or take the "top" negatives
- `num_negatives`: 3, i.e. we mine 3 negatives per question-answer pair
## Dataset Format
- Columns: query, answer, negative
- Column types: str, str, str
- Example:
```python
{
"query": "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."
}
```
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