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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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- 100M<n<1B |
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task_categories: |
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- feature-extraction |
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- sentence-similarity |
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pretty_name: WikiAnswers Duplicate Questions |
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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: anchor |
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dtype: string |
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- name: positive |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 78825722188 |
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num_examples: 761379586 |
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download_size: 33891162136 |
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dataset_size: 78825722188 |
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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 WikiAnswers Duplicate Questions |
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This dataset contains duplicate questions from the [WikiAnswers Corpus](https://github.com/afader/oqa#wikianswers-corpus), formatted to be easily used with Sentence Transformers to train embedding models. |
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## Dataset Subsets |
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### `pair` subset |
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* Columns: "anchor", "positive" |
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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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'anchor': 'How many calories is in a handful of strawberries?', |
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'positive': 'How many calories are in a strawberry popsickles?', |
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} |
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``` |
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* Collection strategy: Reading the WikiAnswers dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data), which has lists of duplicate questions. I've considered all adjacent questions as a positive pair, plus the last and first caption. So, e.g. 5 duplicate questions results in 5 duplicate pairs. |
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* Deduplified: No |
