amalia-llm/AMALIA-LLM-0626-SFT-Dataset

AMALIA LLM Supervised Finetuning Dataset

Data mix used in the Supervised Finetuning stage of the post-training of the AMALIA model. This data mix includes both the mixes used in the base and ramp down phases of the SFT training.

Base Data Mix

This data mix contains off-the-shelf datasets and developed by the AMALIA team. The dataset counts are described in the following table:

Dataset	Count
amalia-llm/persona_math	63,731
amalia-llm/persona_nemotron	101,885
amalia-llm/persona_general	156,397
amalia-llm/persona_instruction_following	9,084
amalia-llm/Amalia_hardcoded	780 (upsampled 5x)
amalia-llm/ptpt-linguistics-if	200
amalia-llm/PT-Culture_Data	26,089
amalia-llm/wikipedia_conversations	97,553
amalia-llm/wikipedia-rag	58,549
amalia-llm/amalia-PTradutor	50,000
amalia-llm/wmt24pp_xx_to_pt_10k	10,000
amalia-llm/amalia-smoltalk	3,507
amalia-llm/amalia-smol-rewrite-PT	53,342
amalia-llm/amalia-smol_summarize_pt	96,356
amalia-llm/amalia-smoltalk2_everyday_conv_pt	305
amalia-llm/amalia-smoltalk2	13,203
amalia-llm/amalia-Nemotron-Instruction-Following-Chat-v1	93,763
amalia-llm/amalia-Nemotron-SFT-Instruction-Following-Chat-v2	1,970,977
amalia-llm/amalia-Nemotron-Math-Proofs-v1	460,113
amalia-llm/amalia-Nemotron-SFT-Math-v3	924,449
amalia-llm/amalia-Nemotron-SFT-Competitive-Programming-v2	841,334
amalia-llm/amalia-Nemotron-SFT-SWE-v2	204,811
amalia-llm/amalia-Nemotron-SpecializedDomains-Finance-v1	66,167
amalia-llm/amalia-Nemotron-SFT-Multilingual-v1	1,029,778
amalia-llm/amalia-Nemotron-SFT-Safety-v1	44,131
amalia-llm/amalia-Nemotron-Science-v1	226,319

Ramp Down Data Mix

This data mix comprises samples of datasets used in the base data mix, whether using the complete datasets, a random sample or selecting the highest quality entries. To classify the quality of the entries, the model google/gemma-4-31B-it was used as a quality judge. A part of the high quality entries was translated to European portuguese also using google/gemma-4-31B-it. The dataset counts and entry-selection methods are described in the following table:

Dataset	Count
amalia-llm/amalia-Dolci-Instruct-SFT	196,924 (best) 43,074 (translated)
amalia-llm/amalia-Nemotron-SFT-Instruction-Following-Chat-v2	126,314 (random) 73,645 (translated)
amalia-llm/hermes3_special_system_prompts	55,000 (best) 51,194 (translated)
amalia-llm/wikipedia_conversations	97,553
amalia-llm/PT-Culture_Data	34,505
amalia-llm/amalia-PTradutor	20,000
amalia-llm/smol-rewrite-PT	10,000
amalia-llm/persona_instruction_following	9,084
amalia-llm/wikipedia-rag	8,492
amalia-llm/Amalia_hardcoded	780 (upsampled 5x)

Note: This dataset comprises machine translated content and may contain translation errors or artifacts.

This dataset is provided as part of the AMALIA project and is included in the data mix used to post-train the AMALIA model.

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Citation

If you use this dataset or AMALIA in your work, please cite:

@inproceedings{simplicio-etal-2026-amalia,
    title = "{AMALIA}: A Fully Open Large Language Model for {E}uropean {P}ortuguese",
    author = "Simpl{{\'i}}cio, Afonso and Vinagre, Gon{{\c{{c}}}}alo and Ramos, Miguel Moura and Tavares, Diogo and Ferreira, Rafael and Attanasio, Giuseppe and Alves, Duarte M. and Calvo, In{{\^e}}s and Vieira, In{{\^e}}s and Guerra, Rui and Furtado, James and Canaverde, Beatriz and Paulo, Iago and Ramos, Vasco and Gl{{\'o}}ria-Silva, Diogo and Faria, Miguel and Treviso, Marcos and Gomes, Daniel and Gomes, Pedro and Semedo, David and Martins, Andr{{\'e}} and Magalh{{\~a}}es, Jo{{\~a}}o",
    booktitle = "Proceedings of the 17th International Conference on Computational Processing of {{P}}ortuguese ({{PROPOR}} 2026) - Vol. 1",
    month = apr,
    year = "2026",
    address = "Salvador, Brazil",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.propor-1.38/",
    pages = "380--391",
    isbn = "979-8-89176-387-6"
}

@misc{simplicio2026amaliatechnicalreportfully,
    title = {AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese},
    author = {Afonso Simplício and Gonçalo Vinagre and Miguel Moura Ramos and Diogo Tavares and Rafael Ferreira and Giuseppe Attanasio and Duarte M. Alves and Inês Calvo and Inês Vieira and Rui Guerra and James Furtado and Beatriz Canaverde and Iago Paulo and Vasco Ramos and Diogo Glória-Silva and Miguel Faria and Marcos Treviso and Daniel Gomes and Pedro Gomes and David Semedo and André Martins and João Magalhães},
    year = {2026},
    eprint = {2603.26511},
    archivePrefix = {arXiv},
    primaryClass = {cs.CL},
    url = {https://arxiv.org/abs/2603.26511}
}