Datasets:
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---
language:
- en
multilinguality:
- monolingual
size_categories:
- 1M<n<10M
task_categories:
- feature-extraction
- sentence-similarity
pretty_name: GooAQ with mined hard negatives
tags:
- sentence-transformers
dataset_info:
- config_name: triplet-5
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: negative_1
dtype: string
- name: negative_2
dtype: string
- name: negative_3
dtype: string
- name: negative_4
dtype: string
- name: negative_5
dtype: string
splits:
- name: train
num_bytes: 3593548091
num_examples: 2294443
download_size: 2433298512
dataset_size: 3593548091
- config_name: triplet-all
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: negative
dtype: string
splits:
- name: train
num_bytes: 5571746272
num_examples: 10048700
download_size: 1710985513
dataset_size: 5571746272
configs:
- config_name: triplet-5
data_files:
- split: train
path: triplet-5/train-*
- config_name: triplet-all
data_files:
- split: train
path: triplet-all/train-*
---
# Dataset Card for GooAQ with mined hard negatives
This dataset is a collection of question-answer-negative triplets and question-answer-negative_1...-negative_5 tuples 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.
The negative samples have been automatically mined with [all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) and:
* `range_min`: 10, i.e. we skip the 10 most similar samples
* `range_max`: 100, i.e. we only look at the top 100 most similar samples
* `margin`: 0, 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. we randomly sample from the candidate negatives rather than taking the "top" negatives
* `num_negatives`: 5, i.e. we mine 5 negatives per question-answer pair
## Dataset Subsets
### `triplet-all` subset
* Columns: "question", "answer", "negative"
* Column types: `str`, `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.',
'negative': 'TOPROL-XL is indicated for the treatment of stable, symptomatic (NYHA Class II or III) heart failure of ischemic, hypertensive, or cardiomyopathic origin. It was studied in patients already receiving ACE inhibitors, diuretics, and, in the majority of cases, digitalis.'
}
```
* Collection strategy: Reading the natural questions dataset from [sentence-transformers/natural-questions](https://huggingface.co/datasets/sentence-transformers/natural-questions) and performing hard negative mining with `as_triplets=True`.
* Deduplified: No
### `triplet-5` subset
* Columns: "question", "answer", "negative_1", "negative_2", "negative_3", "negative_4", "negative_5"
* Column types: `str`, `str`, `str`, `str`, `str`, `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.',
'negative_1': 'Secondly, metoprolol and metoprolol ER have different brand-name equivalents: Brand version of metoprolol: Lopressor. Brand version of metoprolol ER: Toprol XL.',
'negative_2': 'Pill with imprint 1 is White, Round and has been identified as Metoprolol Tartrate 25 mg.',
'negative_3': 'Interactions between your drugs No interactions were found between Allergy Relief and metoprolol. This does not necessarily mean no interactions exist. Always consult your healthcare provider.',
'negative_4': 'Metoprolol is a type of medication called a beta blocker. It works by relaxing blood vessels and slowing heart rate, which improves blood flow and lowers blood pressure. Metoprolol can also improve the likelihood of survival after a heart attack.',
'negative_5': "Metoprolol starts to work after about 2 hours, but it can take up to 1 week to fully take effect. You may not feel any different when you take metoprolol, but this doesn't mean it's not working. It's important to keep taking your medicine."
}
```
* Collection strategy: Reading the natural questions dataset from [sentence-transformers/natural-questions](https://huggingface.co/datasets/sentence-transformers/natural-questions) and performing hard negative mining with `as_triplets=False`.
* Deduplified: No |