Datasets:
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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](https://kaikki.org/dictionary/rawdata.html).
For the extraction methodology see:
Tatu Ylönen. *Wiktextract: Wiktionary as Machine-Readable Structured Data*. LREC 2022. [PDF](https://aclanthology.org/2022.lrec-1.140/).
---
## 📜 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
```python
from datasets import load_dataset
dataset = load_dataset("username/etymos-es")
print(dataset['train'][0]) |