| --- |
| license: cc-by-sa-3.0 |
| language: |
| - id |
| - jv |
| - su |
| - la |
| - sa |
| - en |
| tags: |
| - linguistics |
| - etymology |
| - dictionary |
| - sqlite |
| - wiktextract |
| repo_metadata: true |
| pretty_name: Kaikki Wiktionary Ultimate SQLite |
| size_categories: |
| - 10M<n<100M |
| --- |
| |
| # Kaikki Ultimate Raw SQLite - World Dictionary Database (2026 Edition) |
| ## 📌 Overview |
| This dataset is a high-performance **SQLite conversion** of the massive Kaikki.org (Wiktextract) raw data. It contains millions of lexical entries across thousands of languages, preserved in its **absolute raw JSON format** to ensure zero data loss. |
| This database is designed for developers, linguists, and AI researchers who need a structured, indexed, and offline-ready version of the world's most comprehensive dictionary. |
| ## 🚀 Key Features |
| * **Zero Data Loss:** Every single detail from the original raw-wiktextract-data.jsonl is preserved in the full_json column. |
| * **Massive Scale:** Approximately **25 GB** of structured data covering etymology, senses, pronunciations, and translations. |
| * **Performance Optimized:** Includes pre-built **B-Tree Indexes** on the word and lang columns for millisecond query response times. |
| * **Single File Convenience:** No need to parse millions of JSON lines; just connect with sqlite3 and start querying. |
| ## 📊 Database Schema |
| The database contains a single table named dict with the following structure: |
| | Column | Type | Description | |
| |---|---|---| |
| | **word** | TEXT | The headword/entry (Indexed). | |
| | **lang** | TEXT | Language name (e.g., "Indonesian", "Latin", "Sanskrit") (Indexed). | |
| | **pos** | TEXT | Part of Speech (e.g., "noun", "verb", "adj"). | |
| | **full_json** | TEXT | The original raw JSON string containing all metadata. | |
| ## 🛠 How to Use |
| You can access this dataset using Python or any SQLite-compatible tool. |
| ### Quick Python Example: |
| ```python |
| import sqlite3 |
| import json |
| |
| # Connect to the database |
| conn = sqlite3.connect("kaikki_ultimate_raw.db") |
| cursor = conn.cursor() |
| |
| # Search for a word |
| word_to_find = "surya" |
| cursor.execute("SELECT full_json FROM dict WHERE word = ?", (word_to_find,)) |
|
|
| results = cursor.fetchall() |
| for row in results: |
| data = json.loads(row[0]) |
| print(f"Language: {data.get('lang')}") |
| print(f"Etymology: {data.get('etymology_text')}") |
| |
| conn.close() |
|
|
| ``` |
| ## 🌐 Target Languages Included |
| This database is a **universal** collection, including but not limited to: |
| * **Modern Languages:** Indonesian, English, Spanish, Mandarin, etc. |
| * **Regional Languages:** Javanese, Sundanese, Minangkabau, Balinese. |
| * **Classical/Root Languages:** Latin, Ancient Greek, Sanskrit, Old Javanese, Arabic. |
| ## 📜 Source & Attribution |
| The data is sourced from **Kaikki.org**, which extracts data from **Wiktionary**. |
| All data is licensed under **Creative Commons Attribution-ShareAlike 3.0 (CC BY-SA 3.0)**. |
| ## 💡 Potential Use Cases |
| 1. **Etymology Research:** Trace back the roots of Indonesian words to Sanskrit or Latin. |
| 2. **AI Training:** Fine-tune LLMs for translation or morphological analysis. |
| 3. **App Development:** Build powerful offline dictionary apps (e.g., "HafalKuat"). |
| 4. **Linguistic Analysis:** Statistical analysis of word formations across different language families. |
