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--- |
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language: |
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- en |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1M<n<10M |
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task_categories: |
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- feature-extraction |
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- sentence-similarity |
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pretty_name: Amazon QA |
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tags: |
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- sentence-transformers |
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dataset_info: |
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config_name: pair |
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features: |
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- name: query |
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dtype: string |
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- name: answer |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 837921623 |
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num_examples: 2507114 |
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download_size: 416707894 |
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dataset_size: 837921623 |
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configs: |
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- config_name: pair |
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data_files: |
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- split: train |
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path: pair/train-* |
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--- |
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# Dataset Card for Amazon QA |
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This dataset is a collection of question-answer pairs collected from Amazon QA. See [Amazon QA](https://github.com/amazonqa/amazonqa) for additional information. |
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This dataset can be used directly with Sentence Transformers to train embedding models. |
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## Dataset Subsets |
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### `pair` subset |
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* Columns: "query", "answer" |
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* Column types: `str`, `str` |
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* Examples: |
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```python |
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{ |
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'query': 'What size are the tiles and how thick and what material?', |
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'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.' |
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} |
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``` |
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* Collection strategy: Reading the Amazon QA dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data). |
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* Deduplified: No |
