README.md

---
language:
- pt
- en
pretty_name: smol-smoltalk-pt
size_categories:
- 100K<n<1M
task_categories:
- text-generation
tags:
- portuguese
- european-portuguese
- pt
- pt-pt
- english
- conversations
- dialogue
- instruction-tuning
- sft
- nanochat
---

# smol-smoltalk-pt

## Dataset Summary

smol-smoltalk-pt is an experimental conversational SFT dataset built from the `AMALIA-LLM-0626-SFT-Dataset`.

The original objective was to rapidly obtain a dataset with characteristics similar to `HuggingFaceTB/smol-smoltalk`, while using only conversations already present in the AMALIA dataset.

The selection process attempted to approximate:

- approximately 80% Portuguese and 20% English conversations;
- the distribution of conversation lengths;
- the distribution of the number of dialogue turns.

This was achieved through statistical filtering and sampling only. No machine translation or synthetic dialogue generation was performed.

## Limitations

Although the resulting dataset roughly matches some statistical properties of Smol-Smoltalk, the overall similarity remains significantly below the original objective.

In particular, matching conversation size and language proportions proved insufficient to reproduce the diversity and distribution of the reference dataset.

For this reason, **smol-smoltalk-pt should be considered an experimental dataset**, and a substantially improved replacement is currently under development.

## Source Dataset

This dataset was derived from:

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

Please cite the AMALIA project if you use this dataset.

## 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}
}