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Mattimax/aya_redteaming-IT

published by @Mattimax

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
134
Last 30 days
16
Likes
-
Size
319 KB
Created on HF
2025-08-16
Age
1 years ago

Description

Dataset Card for aya_it.jsonl

Descrizione

Il dataset aya_it.jsonl è la versione tradotta in italiano del file aya_eng.jsonl proveniente dal repository CohereLabs/aya_redteaming.La traduzione è stata effettuata automaticamente utilizzando il modello Helsinki-NLP/opus-mt-en-it.

Questo dataset contiene prompt e contenuti di red-teaming originariamente in inglese, resi disponibili in lingua italiana, per lo studio, l’analisi e l’addestramento di modelli multilingue su… See the full description on the dataset page: https://huggingface.co/datasets/Mattimax/aya_redteaming-IT.

Tags

task_categories:text-generationlanguage:itlicense:apache-2.0size_categories:1K<n<10Karxiv:2406.18682region:usnot-for-all-audiences

README current version from Hugging Face


license: apache-2.0
task_categories:

  • text-generation
    language:
  • it
    tags:
  • not-for-all-audiences
    size_categories:
  • 1K<n<10K

Dataset Card for aya_it.jsonl

Descrizione

Il dataset aya_it.jsonl è la versione tradotta in italiano del file aya_eng.jsonl proveniente dal repository CohereLabs/aya_redteaming.
La traduzione è stata effettuata automaticamente utilizzando il modello Helsinki-NLP/opus-mt-en-it.

Questo dataset contiene prompt e contenuti di red-teaming originariamente in inglese, resi disponibili in lingua italiana, per lo studio, l’analisi e l’addestramento di modelli multilingue su tematiche legate a sicurezza, bias e robustezza.


Fonte


Contenuto

  • Formato: JSON Lines (.jsonl)
  • Lingua: Italiano (tradotto automaticamente dall’inglese)
  • Dimensione: uguale al file aya_eng.jsonl originale
  • Struttura tipica di una riga:
{
  "prompt": "...",
  "metadata": {...}
}

Citazione

@misc{aakanksha2024multilingualalignmentprismaligning,
      title={The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm}, 
      author={Aakanksha and Arash Ahmadian and Beyza Ermis and Seraphina Goldfarb-Tarrant and Julia Kreutzer and Marzieh Fadaee and Sara Hooker},
      year={2024},
      eprint={2406.18682},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2406.18682}, 
}

README history 5 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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  2. 2025-08-16Update README.md6b080221.8 KB
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  4. 2025-08-16Update README.md2d1ad7f1.3 KB
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  5. 2025-08-16initial commit2dcf0b131 B
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Metadata

License
apache-2.0

Repository

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("Mattimax/aya_redteaming-IT")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Mattimax/aya_redteaming-IT", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Mattimax/aya_redteaming-IT
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