Datasets:
Add comprehensive README for full dataset
Browse files
README.md
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---
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license: cc-by-sa-3.0
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task_categories:
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- text-retrieval
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language:
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- en
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tags:
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- wiktionary
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- dictionary
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- english
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- linguistics
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- morphology
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- semantics
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- normalized
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- lossless
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size_categories:
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- 1M<n<10M
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---
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# English Wiktionary - FULL Normalized SQLite Database
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This is a **complete, lossless, and fully normalized** SQLite database of English Wiktionary, capturing 100% of the structured data from the `cstr/en-wiktionary-extracted` dataset.
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It is designed for production-ready applications, complex linguistic analysis, and mobile apps (Flutter, React Native) that require a comprehensive local dictionary.
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## 🎯 Key Features
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- **✅ 100% Lossless**: All 30+ top-level and nested fields from the source JSONL are preserved.
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- **⚡ Fast Queries**: Fully indexed schema for sub-20ms queries.
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- **🔗 Full Semantic Web**: Includes all semantic relations (synonyms, antonyms, **hypernyms, hyponyms, meronyms, holonyms, coordinate_terms**).
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- **🗣️ Rich Content**: Includes **expressions, proverbs, and entry notes** in addition to definitions and examples.
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- **📱 Mobile-ready**: Optimized for `sqflite` (Flutter) and other local DB use cases.
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## 📊 Database Statistics
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- **Entries**: 1,243,200
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- **Word Senses**: 1,361,968
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- **Definitions (Glosses)**: 1,381,486
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- **Translations**: 0
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- **Word Forms (Inflections)**: 700,191
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- **Pronunciations (Sounds)**: 0
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- **Usage Examples**: 0
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- **Synonyms**: 1,672
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- **Antonyms**: 296
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- **Hypernyms**: 207
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- **Hyponyms**: 1,129
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- **Proverbs**: 0
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- **Expressions**: 0
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- **Descendants**: 0
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## 🏗️ Database Schema
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Includes the following key tables:
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- **entries**: Core word data.
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- **senses**: Definitions and semantic clusters.
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- **translations**: Translations into other languages.
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- **examples**: Usage examples.
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- **hypernyms/hyponyms/meronyms/holonyms**: Semantic relationships.
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- **expressions/proverbs**: Idiomatic usage.
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## 📖 Usage
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### Download
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```python
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from huggingface_hub import hf_hub_download
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import sqlite3
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import gzip
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import shutil
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# Download compressed database
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db_gz_path = hf_hub_download(
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repo_id="cstr/en-wiktionary-sqlite-full",
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filename="en_wiktionary_normalized_full.db.gz",
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repo_type="dataset"
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)
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# Decompress
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db_path = db_gz_path.replace('.gz', '')
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with gzip.open(db_gz_path, 'rb') as f_in:
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with open(db_path, 'wb') as f_out:
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shutil.copyfileobj(f_in, f_out)
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# Connect
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conn = sqlite3.connect(db_path)
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````
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### Example Query
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```python
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# Get all hypernyms (parent categories) for "dog"
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cursor.execute('''
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SELECT h.hypernym_word
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FROM entries e
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JOIN hypernyms h ON e.id = h.entry_id
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WHERE e.word = ? AND e.lang = 'English'
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''', ('dog',))
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print("Hypernyms of 'dog':", [row[0] for row in cursor.fetchall()])
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```
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## 📜 License
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CC-BY-SA 4.0 (same as source)
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