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--- |
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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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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: labels |
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sequence: string |
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- name: id |
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dtype: int64 |
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- name: title |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 415213673.5927568 |
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num_examples: 283808 |
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- name: test |
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num_bytes: 103804881.40724319 |
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num_examples: 70953 |
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download_size: 284679882 |
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dataset_size: 519018555 |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- da |
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tags: |
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- chemistry |
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- biology |
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- finance |
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- legal |
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- music |
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- art |
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- webdataset |
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--- |
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# Danish Wikipedia Categories |
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The dataset was created entirely from the [last Danish Wikipedia dump](https://dumps.wikimedia.org/dawiki/20240101/) |
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by traversing the category hierarchy in the [categorylinks table](https://www.mediawiki.org/wiki/Manual:Categorylinks_table). |
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All categories that were one level bellow the topcategories, and which had more than 30 articles assigned to them were selected. |
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In order to see whether an article belongs to a certain category I checked, whether the article was connected to the category in the directed graph of the category hierarchy. |
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If the length of the path between the article and a category was less than or equal to 5 edges (arbitrary choice, but I found it to work well), |
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the category was assigned to the article. |
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Note that this is a multilabel classification task. |
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Its purpose is to train sentence transformers for the [DFM project](https://centre-for-humanities-computing.github.io/danish-foundation-models/) using a technique similar to [SetFit](https://arxiv.org/abs/2209.11055). |
