README.md

---
license: apache-2.0
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language:
- es
- fr
- cs
- uk
- fi
- ca
- nb
- nn
- gl
- eu
---

# HPLT 3.0: Details on Corpus Comparison Results



### Dataset Description

This dataset contains fine-grained results from our HPLT 3.0 release evaluations comparing the new HPLT 3.0 corpora with the previous HPLT 2.0 version, FineWeb2, and MADLAD-400. We pretrain 2.2B Llama-style decoder models on 100B tokens for each selected language and evaluate them using [HPLT-E](https://github.com/hplt-project/hplt-e/tree/main), a multilingual evaluation framework for comprehensive multi-prompt *k*-shot evaluation across 124 tasks and 500+ prompts in nine typologically diverse languages: Spanish (`spa_Latn`), French (`fra_Latn`), Czech (`ces_Latn`), Ukrainian (`ukr_Cyrl`), Finnish (`fin_Latn`), Catalan (`cat_Latn`), Galician (`glg_Latn`), Basque (`eus_Latn`), and Norwegian (Bokmål and Nynorsk; `nor_Latn`).


- **Curated by:** [High Performance Language Technologies (HPLT)](https://hplt-project.org)
- **Languages:** Spanish, French, Czech, Ukrainian, Finnish, Catalan, Galician, Basque, Norwegian Bokmål, and Norwegian Nynorsk
- **Paper:** [arxiv.org/abs/2511.01066](https://arxiv.org/abs/2511.01066)
- **Repository:** [github.com/hplt-project/hplt-e](https://github.com/hplt-project/hplt-e/tree/main)
- **License:** Apache 2.0

Please find more details in our paper and GitHub repository.

## Uses

This dataset is intended for reproducibility and research purposes. Find an example on how to access the results:

```python
from datasets import load_dataset

dataset = load_dataset("HPLT/2508-datasets-evals", "spa_Latn", split="results").to_pandas()
```



## Dataset Structure

### Dataset Instances

Each dataset instance looks as follows:

```python
{
  'corpus': 'MADLAD-400 1.0',
  'category': 'Language-specific & world knowledge',
  'dataset': 'global_mmlu_spanish',
  'task': 'global_mmlu_spanish_p0',
  'prompt': '{{question.strip()}}\nA. {{option_a}}\nB. {{option_b}}\nC. {{option_c}}\nD. {{option_d}}\nRespuesta:',
  'model': '69B',
  'ckpt_num': 33000,
  'score': 22.974
}
```

### Dataset Fields

- `corpus`: corpus name (`HPLT 2.0`, `MADLAD-400 1.0`, `FineWeb2.1.0`, `HPLT 3.0`)
- `category`: task category
- `dataset`: evaluation dataset name
- `task`: evaluation task (refers to a specific prompt)
- `prompt`: prompt used for evaluation
- `model`: number of pretraining tokens (B)
- `ckpt_num`: number identifier for `model`
- `score`: standard metric performance score


## Cite Us


```
@article{oepen2025hplt,
  title={HPLT\~{} 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono-and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models},
  author={Oepen, Stephan and Arefev, Nikolay and Aulamo, Mikko and Ba{\~n}{\'o}n, Marta and Buljan, Maja and Burchell, Laurie and Charpentier, Lucas and Chen, Pinzhen and Fedorova, Mariya and de Gibert, Ona and others},
  journal={arXiv preprint arXiv:2511.01066},
  year={2025}
}
```


## Contact Us

* Vladislav Mikhailov [vladism@ifi.uio.no](vladism@ifi.uio.no)
* Stephan Oepen [oe@ifi.uio.no](oe@ifi.uio.no)