---
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])