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--- |
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dataset_info: |
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features: |
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- name: words |
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dtype: string |
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- name: annotated_splits |
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dtype: string |
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- name: splits |
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sequence: |
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sequence: string |
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- name: source |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 46318 |
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num_examples: 624 |
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download_size: 20677 |
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dataset_size: 46318 |
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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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license: cc-by-4.0 |
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language: |
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- da |
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pretty_name: Danish Compounds |
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size_categories: |
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- n<1K |
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--- |
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## Danish Compounds |
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Danish Compounds consists of a list of Danish compound words annotated for constituent words and |
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interfixes. This can be used to evaluate how close a model can obtain similar splits. |
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## Loading the dataset |
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To load the dataset simply run: |
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```py |
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from datasets import load_dataset |
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ds = load_dataset("KennethEnevoldsen/danish-compounds", split="train") |
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``` |
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## Sample |
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A sample from the dataset looks as follows: |
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```py |
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{ |
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"words": "A-aktie", |
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"annotated_splits": "A|-|aktie", |
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"splits": [["A"], ["-"], ["aktie"]], |
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"source": "wiktionary", |
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} |
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``` |
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Where: |
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- `words`: The word as a string |
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- `annotated_splits`: The annotated splits, including primary and secondary splits |
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- `splits`: The words. |
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- `source` Where the word was found. |
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## Dataset Source |
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The dataset is derived from two source [Wiktionary](https://da.wiktionary.org/wiki/Kategori:Sammensatte_ord_på_dansk) and [sproget.dk](https://sproget.dk/raad-og-regler/ordlister/sproglige-ordlister/ordforbindelser-i-et-eller-flere-ord). |
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## Annotation Creator |
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The word splits were manually annotated by Kenneth Enevoldsen. |
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## Annotation Scheme |
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Words that the annotator did not understand (e.g. some Icelandic words) were removed. |
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- "|" indicates primary split (into compound words) |
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- "&" indicates secondary split (used in case of compound word existing of a multiple compounds) e.g. blindtarmsbetændelse consist of two compounds "blindtarm" "betændelse" with a 'lim-s' ("s"), but blindtarm is itself a compound, namely "blind", "tarm". |
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## Reason for annotation |
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This dataset was initially annotated to get a gist of how well BPE, Unigram, and similar tokenizers obtain tokens similar to conventional splits. |
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> The Jaccard index, also sometimes called the Jaccard similarity, can be seen as a similarity metric |
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between the labeled splits and the splits of the model. |
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It was annotated as a part of Kenneth Enevoldsen's master thesis. |
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## Citation |
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If you use this work please cite: |
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``` |
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@mastersthesis{Enevoldsen2022, |
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title = {Representation Learning for Decision-Support in Clinical Psychiatry}, |
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author = {Kenneth Enevoldsen}, |
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year = {2022}, |
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school = {Aarhus University}, |
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note = {Master's Thesis} |
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} |
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``` |
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