QubitPi/wiktionary-data

Wiktionary Data on Hugging Face Datasets

wiktionary-data is a sub-data extraction of the English Wiktionary that currently supports the following languages:

• Deutsch - German
• Latinum - Latin
• Ἑλληνική - Ancient Greek
• 한국어 - Korean
• 𐎠𐎼𐎹 - Old Persian
• 𒀝𒅗𒁺𒌑(𒌝) - Akkadian
• Elamite
• संस्कृतम् - Sanskrit, or Classical Sanskrit

The Wiktionary language data is available on 🤗 Hugging Face Datasets. To access the data load API library first:

from datasets import load_dataset

There are 2 data subsets:

1. Languages subset that contains extraction of a subset of supported languages:

   dataset = load_dataset("QubitPi/wiktionary-data", "Wiktionary")
   

   The subset contains the splits of the following languages (followed by the invocation of fetching their respective splits)

   • German: split = dataset["German"]
   • Latin: split = dataset["Latin"]
   • Ancient Greek: split = dataset["AncientGreek"]
   • Korean: split = dataset["Korean"]
   • Old Persian: split = dataset["OldPersian"]
   • Akkadian: split = dataset["Akkadian"]
   • Elamite: split = dataset["Elamite"]
   • Sanskrit: split = dataset["Sanskrit"]

2. Graph subset that is useful for constructing knowledge graphs:

   dataset = load_dataset("QubitPi/wiktionary-data", "Knowledge Graph")
   

   The subset contains the following splits

   • AllLanguage: all the languages listed above in a giant graph

   The Graph data ontology is the following:

   

Two words are structurally similar if and only if the two shares the same stem

Development

Data Source

Although the original Wiktionary dump is available, parsing it from scratch involves rather complicated process. For example, acquiring the inflection data of most Indo-European languages on Wiktionary has already triggered some research-level efforts. We would probably do it in the future. At present, however, we would simply take the awesome works by tatuylonen which has already processed it and presented it in in JSONL format. wiktionary-data sources the data from raw Wiktextract data (JSONL, one object per line) option there.

Environment Setup

Get the source code:

git clone [email protected]:QubitPi/wiktionary-data.git
cd wiktionary-data

It is strongly recommended to work in an isolated environment. Install virtualenv and create an isolated Python environment by

python3 -m pip install --user -U virtualenv
python3 -m virtualenv .venv

To activate this environment:

source .venv/bin/activate

or, on Windows

./venv\Scripts\activate

To deactivate this environment, use

deactivate

Installing Dependencies

pip3 install -r requirements.txt

License

The use and distribution terms for wiktionary-data are covered by the Apache License, Version 2.0.