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