--- 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)