---
license: odc-by
language:
- it
- en
task_categories:
- text-generation
tags: [italian, english, code, fineweb-2, fineweb-edu, pretraining-tokens]
---

# ita-en-code-tokens-48k

Pretokenized **40% Italian / 40% English / 20% code** pretraining tokens
(~40B), tokenized with [procmarco/ita-en-code-bpe-48k](https://huggingface.co/procmarco/ita-en-code-bpe-48k)
(vocab 49152). Documents packed `<|bos|> … <|eos|>`.

Sources: FineWeb-2 `ita_Latn` (filtered), FineWeb-Edu `sample/100BT` (`int_score≥3`),
codeparrot/github-code-clean. The three streams are interleaved to the 40/40/20
token ratio.

## Format
- `tokens_000000.bin`, … — **fixed 268,435,456 tokens each** (`uint16` LE, 512 MiB).
- `tokens_eval.bin` — disjoint held-out eval (16,777,216 tokens).
- `meta.json` — manifest (shard size, per-source token counts, positions, special ids).

```python
import numpy as np
a = np.fromfile("tokens_000000.bin", dtype="<u2")   # ids in [0, 49152)
```
Trainer consumes via `--token-shard-dir <dir> --token-shard-tokens 268435456`.