gooaq / README.md
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metadata
language:
  - en
multilinguality:
  - monolingual
size_categories:
  - 1M<n<10M
task_categories:
  - feature-extraction
  - sentence-similarity
pretty_name: GooAQ
tags:
  - sentence-transformers
dataset_info:
  features:
    - name: question
      dtype: string
    - name: answer
      dtype: string
  splits:
    - name: train
      num_bytes: 914351688.7948598
      num_examples: 3007496
    - name: eval
      num_bytes: 760060.6025700948
      num_examples: 2500
    - name: test
      num_bytes: 760060.6025700948
      num_examples: 2500
  download_size: 613248629
  dataset_size: 915871809.9999999
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: eval
        path: data/eval-*
      - split: test
        path: data/test-*

Dataset Card for GooAQ

This dataset is a collection of question-answer pairs, collected from Google. See GooAQ for additional information. This dataset can be used directly with Sentence Transformers to train embedding models. This dataset is equivalent to sentence-transformers/gooaq, but with 2500 evaluation samples and 2500 test samples randomly extracted from the training set.

Dataset Subsets

data subset

  • Columns: "question", "answer"
  • Column types: str, str
  • Examples:
    {
      '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 sentence-transformers/gooaq.
  • Deduplified: No

Split Details

  • train split: 3,007,396 pairs
  • eval split: 2,500 pairs (all unique)
  • test split: 2,500 pairs (all unique)

There are 0 common questions across the train, eval, and test splits.