| --- |
| 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") |
| ``` |
|
|