| | --- |
| | dataset_info: |
| | features: |
| | - name: query |
| | dtype: string |
| | - name: passage |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 109698512 |
| | num_examples: 209408 |
| | download_size: 70746762 |
| | dataset_size: 109698512 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | license: unknown |
| | language: |
| | - da |
| | task_categories: |
| | - feature-extraction |
| | - question-answering |
| | --- |
| | |
| | # ELI5 question-answer pairs in Danish |
| |
|
| | ## About |
| |
|
| | This dataset is a version of the [ELI5 question-answer pairs dataset](https://huggingface.co/datasets/sentence-transformers/embedding-training-data) machine-translated from English to Danish ([link to original dataset](https://huggingface.co/datasets/eli5)). |
| |
|
| | Machine translation is performed using the Helsinki NLP [English-to-Danish OPUS-MT model](https://huggingface.co/Helsinki-NLP/opus-mt-en-da). |
| |
|
| | The dataset contains ~209k 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'). |
| |
|
| | ## Usage |
| |
|
| | Using the HuggingFace datasets library: |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | dataset = load_dataset("KennethTM/eli5_question_answer_danish") |
| | ``` |
| |
|
