README.md

metadata

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 for training Italian language models.

Subsets

Subset	File	Documents	Words	Description
Web Crawl	icc-web.parquet	~27K	~17M	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

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])

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

@dataset{modotai_icc_2026,
  author = {ModotAI},
  title = {Italian-Common-Corpus},
  year = {2026},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/ThingsAI/Italian-Common-Corpus}
}