| --- |
| license: apache-2.0 |
| dataset_info: |
| - config_name: cat_Latn |
| features: |
| - name: corpus |
| dtype: string |
| - name: category |
| dtype: string |
| - name: dataset |
| dtype: string |
| - name: task |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: model |
| dtype: string |
| - name: ckpt_num |
| dtype: int64 |
| - name: score |
| dtype: float64 |
| splits: |
| - name: results |
| num_bytes: 2921244 |
| num_examples: 13248 |
| download_size: 167200 |
| dataset_size: 2921244 |
| - config_name: ces_Latn |
| features: |
| - name: corpus |
| dtype: string |
| - name: category |
| dtype: string |
| - name: dataset |
| dtype: string |
| - name: task |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: model |
| dtype: string |
| - name: ckpt_num |
| dtype: int64 |
| - name: score |
| dtype: float64 |
| splits: |
| - name: results |
| num_bytes: 3245157 |
| num_examples: 14256 |
| download_size: 135814 |
| dataset_size: 3245157 |
| - config_name: eus_Latn |
| features: |
| - name: corpus |
| dtype: string |
| - name: category |
| dtype: string |
| - name: dataset |
| dtype: string |
| - name: task |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: model |
| dtype: string |
| - name: ckpt_num |
| dtype: int64 |
| - name: score |
| dtype: float64 |
| splits: |
| - name: results |
| num_bytes: 2619840 |
| num_examples: 9216 |
| download_size: 95934 |
| dataset_size: 2619840 |
| - config_name: fin_Latn |
| features: |
| - name: corpus |
| dtype: string |
| - name: category |
| dtype: string |
| - name: dataset |
| dtype: string |
| - name: task |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: model |
| dtype: string |
| - name: ckpt_num |
| dtype: int64 |
| - name: score |
| dtype: float64 |
| splits: |
| - name: results |
| num_bytes: 4683024 |
| num_examples: 19200 |
| download_size: 221268 |
| dataset_size: 4683024 |
| - config_name: fra_Latn |
| features: |
| - name: corpus |
| dtype: string |
| - name: category |
| dtype: string |
| - name: dataset |
| dtype: string |
| - name: task |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: model |
| dtype: string |
| - name: ckpt_num |
| dtype: int64 |
| - name: score |
| dtype: float64 |
| splits: |
| - name: results |
| num_bytes: 1261596 |
| num_examples: 5184 |
| download_size: 46933 |
| dataset_size: 1261596 |
| - config_name: glg_Latn |
| features: |
| - name: corpus |
| dtype: string |
| - name: category |
| dtype: string |
| - name: dataset |
| dtype: string |
| - name: task |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: model |
| dtype: string |
| - name: ckpt_num |
| dtype: int64 |
| - name: score |
| dtype: float64 |
| splits: |
| - name: results |
| num_bytes: 1281960 |
| num_examples: 5760 |
| download_size: 54175 |
| dataset_size: 1281960 |
| - config_name: nor_Latn |
| features: |
| - name: corpus |
| dtype: string |
| - name: category |
| dtype: string |
| - name: dataset |
| dtype: string |
| - name: task |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: model |
| dtype: string |
| - name: ckpt_num |
| dtype: int64 |
| - name: score |
| dtype: float64 |
| - name: __index_level_0__ |
| dtype: int64 |
| splits: |
| - name: results |
| num_bytes: 4236540 |
| num_examples: 15936 |
| download_size: 290910 |
| dataset_size: 4236540 |
| - config_name: spa_Latn |
| features: |
| - name: corpus |
| dtype: string |
| - name: category |
| dtype: string |
| - name: dataset |
| dtype: string |
| - name: task |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: model |
| dtype: string |
| - name: ckpt_num |
| dtype: int64 |
| - name: score |
| dtype: float64 |
| splits: |
| - name: results |
| num_bytes: 2065536 |
| num_examples: 9216 |
| download_size: 98706 |
| dataset_size: 2065536 |
| - config_name: ukr_Cyrl |
| features: |
| - name: corpus |
| dtype: string |
| - name: category |
| dtype: string |
| - name: dataset |
| dtype: string |
| - name: task |
| dtype: string |
| - name: prompt |
| dtype: string |
| - name: model |
| dtype: string |
| - name: ckpt_num |
| dtype: int64 |
| - name: score |
| dtype: float64 |
| splits: |
| - name: results |
| num_bytes: 1056612 |
| num_examples: 4032 |
| download_size: 40782 |
| dataset_size: 1056612 |
| configs: |
| - config_name: cat_Latn |
| data_files: |
| - split: results |
| path: cat_Latn/results-* |
| - config_name: ces_Latn |
| data_files: |
| - split: results |
| path: ces_Latn/results-* |
| - config_name: eus_Latn |
| data_files: |
| - split: results |
| path: eus_Latn/results-* |
| - config_name: fin_Latn |
| data_files: |
| - split: results |
| path: fin_Latn/results-* |
| - config_name: fra_Latn |
| data_files: |
| - split: results |
| path: fra_Latn/results-* |
| - config_name: glg_Latn |
| data_files: |
| - split: results |
| path: glg_Latn/results-* |
| - config_name: nor_Latn |
| data_files: |
| - split: results |
| path: nor_Latn/results-* |
| - config_name: spa_Latn |
| data_files: |
| - split: results |
| path: spa_Latn/results-* |
| - config_name: ukr_Cyrl |
| data_files: |
| - split: results |
| path: ukr_Cyrl/results-* |
| 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) |
