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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
{
"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
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
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