Datasets:

FinancialSupport
/

italian-culture-midtrain-v2

pretty_name: Italian Culture Midtraining v2 for Zagreus
language:
  - it
license: other
task_categories:
  - text-generation
size_categories:
  - 10K<n<100K
tags:
  - continued-pretraining
  - italian-culture
  - decontaminated
  - provenance
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*.parquet
      - split: validation
        path: data/validation-*.parquet

Italian Culture Midtraining v2

Private, viewer-friendly continued-pretraining corpus for mii-llm/zagreus-0.4B-ita. Repository: FinancialSupport/italian-culture-midtrain-v2.

split	rows	words	target-tokenizer tokens (EOS included)
train	84,031	23,357,466	48,463,711
validation	780	200,197	422,661

Viewer schema

text is the exact model-visible text. title, category, categories, source, source_url, license, revision/document IDs, word/token counts, and normalized hashes are separate columns for filtering and review.

Merge and deduplication

FinancialSupport/test_cpt was audited in full. It is derived from the same raw sources already re-ingested or superseded by v2, so zero legacy rows were added; adding it would duplicate content under different chunk boundaries.
Five legacy Pinocchio rows were rejected by the owner-enforced source ban.
FinancialSupport/zagreus-cpt-italic-packed is the tokenized form of that legacy corpus and was not decoded/re-added.
SFT, DPO, OPD and eval repositories are different objectives and were not mixed into language-model pretraining data.
The ADN/articles/web corpora were not added: they are broad news corpora, and some cards do not establish underlying-content licensing/provenance suitable for this release.

See reports/merge_audit.json for row-level decision counts.

Safety and quality gates

Exact 9-gram exclusion against question and option text for all 10,000 ITALIC items, applied to the final text visible to the model.
Document-level deterministic train/validation split.
Exact normalized SHA-256 deduplication and source-aware SimHash near-dedup.
Remaining ITALIC overlap, split document/hash overlap, malformed HTML, replacement characters, and missing required metadata: zero.

Sources and licenses

Mixed-source dataset: Wikipedia/Wikimedia projects, Wikidata, ArCo (Ministero della Cultura), Kaikki/Wiktionary, UD Italian-PUD, FineWeb-2 replay, public-domain texts and open manuals. The exact license and source URL are retained per row. Because obligations differ (CC BY-SA, GFDL, CC0, ODC-By and public domain), the Hub metadata uses license: other; review the per-row field before redistribution.

Recommended use

Start from the base Zagreus model, run one CPT pass at sequence length 1024 with fp32 master weights + bf16 autocast, then re-run the short-format SFT. Do not concatenate the legacy packed corpus or repeat this dataset for many epochs.