metadata

language:
  - en
multilinguality:
  - monolingual
size_categories:
  - 1M<n<10M
task_categories:
  - feature-extraction
  - sentence-similarity
pretty_name: Amazon QA
tags:
  - sentence-transformers
dataset_info:
  config_name: pair
  features:
    - name: query
      dtype: string
    - name: answer
      dtype: string
  splits:
    - name: train
      num_bytes: 837921623
      num_examples: 2507114
  download_size: 416707894
  dataset_size: 837921623
configs:
  - config_name: pair
    data_files:
      - split: train
        path: pair/train-*

Dataset Card for Amazon QA

This dataset is a collection of question-answer pairs collected from Amazon QA. See Amazon QA for additional information. This dataset can be used directly with Sentence Transformers to train embedding models.

Dataset Subsets

`pair` subset

Columns: "query", "answer"
Column types: str, str

Examples:

{
  'query': 'What size are the tiles and how thick and what material?',
  'answer': 'Tiles are 12" x 12", about 1/2 inch thick and made of plastic (not grippy/rubbery). Light weight, but sturdy. Easy to put together.'
}

Collection strategy: Reading the Amazon QA dataset from embedding-training-data.
Deduplified: No

Dataset Card for Amazon QA

Dataset Subsets

pair subset

`pair` subset