| --- |
| dataset_info: |
| features: |
| - name: scenario |
| dtype: string |
| - name: correct_proverb |
| dtype: string |
| - name: incorrect_proverb |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 7299 |
| num_examples: 32 |
| - name: test |
| num_bytes: 23286 |
| num_examples: 98 |
| download_size: 27103 |
| dataset_size: 30585 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| --- |
| # Dutch proverbs |
|
|
| This a collection of 130 brief `scenario's` in Dutch, combined with a proverb (_spreekwoord_) that matches the scenario (`correct spreekwoord`) and a proverb that does not match the scenario (`incorrect spreekwoord)`. |
|
|
| ## Creation |
| The dataset was created and reviewed manually by a team of NFI employees (Netherlands Forensic Institute). |
|
|
| The creation process was as follows: |
|
|
| 1. A proverb was selected |
| 2. A scenario was created to match the proverb |
| 3. An alternative, incorrect proverbs was selected |
|
|
| The alternative proverbs were **not** selected randomly. They were crafted to share similar words or a similar theme with the scenario, yet are still clearly the incorrect proverb for the situation. |
|
|
| ## Use |
| These proverbs can be used to test the ability of Large Language Models to match the right proverb to a scenario. |
