metadata

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 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:

{
    "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."
}