---
license: apache-2.0
task_categories:
- text-generation
language:
- ca
- da
- fa
- sv
- ta
tags:
- finetuning
- moe
- marco
- fineweb
size_categories:
- 10M<n<100M
---

# Marco multilingual finetuning splits (c4)

Pre-built JSONL training splits for the Marco-MoE multilingual expansion experiments.

## Contents

### `splits/` — document-budget tiers (~15 GB)

Fixed-prefix document counts per language (50k ⊂ 100k ⊂ 500k):

| Language | Source corpus |
|---|---|
| `dan_Latn` | FineWeb2-HQ |
| `fas_Arab` | FineWeb2-HQ |
| `swe_Latn` | FineWeb2-HQ |
| `tam_Taml` | FineWeb-2 |
| `cat_Latn` | FineWeb-2 |

Files: `{lang}_{50k|100k|500k}.jsonl`, `{lang}_manifest.json`, `splits_summary.json`

Generated by `finetuning/data/prepare_data_splits.py`.

### `token_budget_splits/` — token-budget tiers (~66 GB)

Fixed-seed shuffled splits at 1B / 1.5B / 2B raw tokenizer tokens:

Files: `{lang}_{1Btok|1p5Btok|2Btok}.jsonl`, `{lang}_token_budget_manifest.json`

Generated by `finetuning/data/prepare_token_budget_splits.py` (seed=42, Marco-Nano-Base tokenizer).

## Usage

```bash
huggingface-cli download LiangYan3612/c4 \
  --repo-type dataset \
  --include "splits/**" \
  --local-dir finetuning/data

huggingface-cli download LiangYan3612/c4 \
  --repo-type dataset \
  --include "token_budget_splits/**" \
  --local-dir finetuning/data
```

Or use `download_scripts/anvil/download_finetune_splits.sh` from the [multilingual_MoE](https://github.com/yanliang3612/multilingual_MoE) repo.

## Citation

Derived from [FineWeb2-HQ](https://huggingface.co/datasets/epfml/FineWeb2-HQ) and [FineWeb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2). See project repo for experiment details.