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README.md

@@ -1,3 +1,88 @@
 ---
-license: cc-by-nc-4.0
+language:
+  - it
+license: cc-by-4.0
+task_categories:
+  - text-generation
+tags:
+  - italian
+  - modotai
+  - pretraining
+  - corpus
+size_categories:
+  - 1M<n<10M
 ---
+
+# Italian-Common-Corpus
+
+The Italian dataset with the highest density of useful information per token. Built by [ModotAI](https://things-ai.org) for training Italian language models.
+
+## Subsets
+
+| Subset | File | Documents | Words | Description |
+|--------|------|-----------|-------|-------------|
+| **Web Crawl** | `icc-web.parquet` | ~27K | ~17M | 28 Italian sources: news, tech, science, culture, law, food, sport |
+| **Wikipedia IT** | `wiki-it-clean.parquet` | ~1.35M | ~698M | Cleaned Italian Wikipedia — removed Notes, Bibliography, Voci correlate, stub articles |
+
+**Total: 1,377,369 documents, 715,313,213 words (~929M tokens)**
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load web crawl subset
+icc = load_dataset("ThingsAI/Italian-Common-Corpus", data_files="data/icc-web.parquet", split="train")
+
+# Load Wikipedia subset
+wiki = load_dataset("ThingsAI/Italian-Common-Corpus", data_files="data/wiki-it-clean.parquet", split="train")
+
+# Load everything
+full = load_dataset("ThingsAI/Italian-Common-Corpus", split="train")
+
+print(icc[0])
+```
+
+## Web Crawl Sources
+
+| Source | Category | Documents | Quality |
+|--------|----------|-----------|---------|
+| Aranzulla | Tech | ~1.9K | 58.7 |
+| Il Post | News | ~1.2K | 65.3 |
+| Open Online | News | ~1.8K | 74.5 |
+| Wired IT | Tech | ~1.8K | 70.6 |
+| Treccani Magazine | Culture | ~1.9K | 70.4 |
+| Doppiozero | Culture | ~1.2K | 66.7 |
+| Dissapore | Food | ~2.1K | 72.3 |
+| Focus | Science | ~1.8K | 74.9 |
+| ANSA | News | ~1.4K | 72.2 |
+| Il Sole 24 Ore | Economy | ~1.7K | 72.5 |
+| Ubuntu-it Forum | Tech | ~1.4K | 65.5 |
+| + 17 more sources | Various | ... | ... |
+
+## Quality Pipeline
+
+1. **Async crawling** — 20 parallel workers, rate-limited per domain
+2. **Text extraction** — Trafilatura with precision mode
+3. **Spam detection** — 13 regex patterns + statistical analysis
+4. **Quality scoring** — Lexical richness, sentence structure, punctuation (0-100)
+5. **Deduplication** — MD5 hash + partial content matching
+6. **Wikipedia cleaning** — Section removal (Notes, Bibliography, See also, External links)
+
+Only documents scoring ≥50/100 are included.
+
+## License
+
+CC-BY-4.0
+
+## Citation
+
+```bibtex
+@dataset{modotai_icc_2026,
+  author = {ModotAI},
+  title = {Italian-Common-Corpus},
+  year = {2026},
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/datasets/ThingsAI/Italian-Common-Corpus}
+}
+```