🌁 Stambecco-Cleaned: Italian Instruction-Tuning Dataset

The Stambecco-Cleaned Dataset is an Italian translation and adaptation of the community-curated Alpaca-Cleaned dataset, created to enable and evaluate instruction-following capabilities in Italian Large Language Models (LLMs).

---

📌 Dataset Summary

• Language: Italian (it)
• Base Source: Alpaca-Cleaned (curated version of Stanford Alpaca)
• Primary Use Case: Instruction fine-tuning, evaluation, and alignment for Italian LLMs.
• Repository: mchl-labs/stambecco_data_it

---

📖 Data Structure

Each entry in the dataset consists of three standard fields:

{
  "instruction": "Descrivi il processo di fotosintesi in modo semplice.",
  "input": "",
  "output": "La fotosintesi è il processo attraverso il quale le piante convertono la luce solare in energia..."
}

• instruction: The prompt or task description in Italian.
• input: Optional contextual information required for the task.
• output: The target Italian response.

---

🚀 Quickstart

Load the dataset directly using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("mchl-labs/stambecco_data_it")
print(dataset["train"][0])

---

📜 Citation & Attribution

If you use this dataset in your research, please include it in your paper's formal bibliography/references section (rather than a footnote) so citation engines can properly track attribution.

1. Cite Stambecco-Cleaned (The Italian Dataset)

@misc{stambecco_cleaned_2023,
  author       = {Michael Rottoli},
  title        = {Stambecco-Cleaned: Italian Instruction-Tuning Dataset},
  year         = {2023},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/mchl-labs/stambecco_data_it}}
}

2. Original Source Attribution

This dataset is a translated derivative of the Alpaca-Cleaned dataset. If you cite Stambecco, please also consider citing the cleaned dataset repository and the original Stanford Alpaca paper:

Alpaca-Cleaned:

@misc{alpaca_cleaned,
  author       = {Alpaca-Cleaned Contributors},
  title        = {Alpaca-Cleaned: A curated version of the original Stanford Alpaca Dataset},
  year         = {2023},
  publisher    = {GitHub},
  howpublished = {\url{https://github.com/gururise/AlpacaDataCleaned}}
}

Stanford Alpaca (Original base dataset):

@misc{alpaca,
  author       = {Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto},
  title        = {Stanford Alpaca: An Instruction-following LLaMA model},
  year         = {2023},
  publisher    = {GitHub},
  howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}}
}

---

⚖️ License

This dataset is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.

It is released for academic research purposes only, aligned with the original non-commercial terms of the Stanford Alpaca release. If you remix, transform, or build upon this dataset, you must distribute your contributions under the same open license.