Datasets:

elalber2000
/

etymos-es

license: cc-by-sa-4.0
task_categories:
  - translation
language:
  - es
tags:
  - etymology
  - dictionary
pretty_name: Spanish Etymological Transformations (etymos)
size_categories:
  - 10K<n<100K

📚 Etymos Dataset

This dataset contains normalized etymological transformation data from different languages to spanish, extracted from Wiktionary.

📄 Dataset Details

Source: Wiktionary contributors (via kaikki/wiktextract)
Dump date: 2025-08-23
Fields included:
- lang_origin: Original language
- word_origin: Word in the original language
- lang_dest: Target/derived language
- word_dest: Word in the target language
- link_type: Relationship type (direct/indirect), for example if there is a derivation from latin -> old spanish -> spanish, there will be a direct derivation from latin -> old spanish and old spanish -> spanish and an indirect derivation from latin -> spanish
- id: Shared identifier linking related entries

🛠️ Transformation & Preprocessing

Extracted the etymological text
Used a rule-based system to extract etymological languages and words
Cleaned non real languages
Normalized languages into main languages and families (e.g. specific chinese dialects to "chinese")

For the original extraction see: Kaikki Wiktionary Raw Data.
For the extraction methodology see:
Tatu Ylönen. Wiktextract: Wiktionary as Machine-Readable Structured Data. LREC 2022. PDF.

📜 License

Dataset text content: CC BY-SA 4.0
- Attribution required: “Wiktionary contributors (via Kaikki/wiktextract)”
- Include license and indicate changes.
This transformation modifies the original by restructuring, normalizing, and linking entries.

🚀 Usage Example

from datasets import load_dataset

dataset = load_dataset("username/etymos-es")

print(dataset['train'][0])