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--- |
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dataset_info: |
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features: |
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- name: query |
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dtype: string |
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- name: passage |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 934643435 |
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num_examples: 3012496 |
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download_size: 627593528 |
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dataset_size: 934643435 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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language: |
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- da |
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task_categories: |
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- feature-extraction |
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- question-answering |
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size_categories: |
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- 1M<n<10M |
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license: apache-2.0 |
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--- |
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# GooAQ (Google Answers to Google Questions) question-answer pairs in Danish |
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## About |
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This dataset is a version of the [GooAQ question-answer pairs dataset](https://huggingface.co/datasets/sentence-transformers/embedding-training-data) machine-translated from English to Danish ([link to original dataset](https://github.com/allenai/gooaq)). |
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Machine translation is performed using the Helsinki NLP [English-to-Danish OPUS-MT model](https://huggingface.co/Helsinki-NLP/opus-mt-en-da). |
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The dataset contains ~3M question-answer pairs and can be used to train embedding and question-answer models. Each pair consists of one question ('query') and one passage containing the answer ('passage'). |
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## Usage |
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Using the HuggingFace datasets library: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("KennethTM/gooaq_pairs_danish") |
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``` |
