| --- |
| language: |
| - de |
| - en |
| license: apache-2.0 |
| tags: |
| - austrian-german |
| - dictionary |
| - vocabulary |
| - translation |
| - austria |
| - oesterreichisches-deutsch |
| pretty_name: Austrian German - Standard German Dictionary |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - translation |
| - text-classification |
| extra_gated_prompt: >- |
| This dataset is in validation phase. |
| Access is granted to verified researchers and organizations. |
| Please describe your intended use case. |
| extra_gated_fields: |
| Full name: text |
| Organization: text |
| Intended use: text |
| I agree to use this data for research purposes only: |
| type: checkbox |
| --- |
| |
| # Austrian German — Standard German Dictionary |
|
|
| I built this because every time I tried to use a German NLP model on Austrian text, it choked on the basics. Erdapfel isn't Kartoffel, Obers isn't Sahne, and a Meldezettel sure as hell isn't a Meldebescheinigung. So I sat down and compiled 2000+ word pairs with examples in both varieties. |
|
|
| ## What's in it |
|
|
| 2,042 entries across 7 categories. Each entry has the Austrian word, the Standard German equivalent, an English translation, and a pair of example sentences — one in each variety. |
|
|
| | Category | Count | |
| |----------|-------| |
| | food | 406 | |
| | expressions | 338 | |
| | colloquial | 319 | |
| | bureaucracy | 309 | |
| | daily_life | 302 | |
| | geography | 195 | |
| | institutions | 173 | |
| |
| ## Format |
| |
| ```json |
| { |
| "austrian": "Erdapfel", |
| "german": "Kartoffel", |
| "english": "potato", |
| "category": "food", |
| "example_at": "Kauf ma no a paar Erdaepfel fuer den Salat.", |
| "example_de": "Kaufen wir noch ein paar Kartoffeln fuer den Salat.", |
| "register": "standard", |
| "region": "all" |
| } |
| ``` |
| |
| Each entry also has a `register` field (standard, colloquial, dialect, or formal) and a `region` field so you can filter for Vienna-specific or Tyrolean words. |
| |
| ## Usage |
| |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("Laborator/austrian-german-dictionary") |
| |
| # grab all food words |
| food = [x for x in ds["train"] if x["category"] == "food"] |
| ``` |
| |
| ## What I'd use this for |
| |
| Text normalization (AT→DE), training a dialect classifier, data augmentation for German NLP, or just learning Austrian German if you're moving to Vienna and don't want to starve at the bakery because you asked for a Broetchen instead of a Semmel. |
| |
| ## Files |
| |
| `data/dictionary.jsonl` and `data/dictionary.parquet` — same data, two formats. |
| |
| ## License |
| |
| Apache 2.0 |
| |
