fabriciocarraro/tulu-3-sft-personas-instruction-following-es

Tulu 3 SFT Personas Instruction Following (Spanish Translation)

This dataset is a Spanish translation of `allenai/tulu-3-sft-personas-instruction-following`, a 30k-example supervised fine-tuning dataset designed to improve instruction following and constraint satisfaction in chat models.

The translation was created to make this style of instruction-following data more useful for Spanish-language model development while keeping the original task structure intact.

Dataset Summary

• —Total rows: 29,980
• —Language: Spanish
• —Source dataset language: English
• —Chat format: 2-message conversations (user, assistant)
• —Translation method: OpenAI gpt-5.4-mini
• —Structurally verified translations: 29,765
• —Rows present but not structurally verified: 215

The dataset keeps the original prompt/response pairing style, the original constraint labels, and adds translation metadata so users can filter to a stricter subset if they want.

What Is In The Dataset

Each example contains:

• —id: original example identifier from the source dataset
• —prompt: Spanish user prompt
• —messages: translated chat messages in ShareGPT-style message format
• —constraints: original constraint tags from the source dataset
• —source: provenance tag for the translated dataset
• —translation_verified: boolean flag produced by local structural checks
• —translation_checks: per-message structural verification details
• —translation_model: translation model used for the example

The constraints field is preserved from the original dataset and remains useful for filtering or analysis by instruction type.

Translation Methodology

The translation pipeline was designed to preserve instruction-following behavior, not just literal meaning. In particular, it aimed to:

• —Translate all natural-language content into Spanish
• —Preserve the number of messages and the role sequence
• —Preserve formatting-sensitive instructions such as JSON output, bullet counts, headings, paragraph counts, quoting conventions, and title wrappers
• —Preserve placeholders and structural markers
• —Adapt explicit language constraints when needed so that requests like "answer in English" become equivalent Spanish-language constraints

Translations were generated in batches through the OpenAI Responses API using structured outputs.

Verification

Each translated example was checked with lightweight structural heuristics. These checks include preservation of:

• —placeholder counts
• —heading counts
• —bullet/list structure
• —divider markers
• —JSON validity when the original target was JSON
• —some casing and punctuation-sensitive constraints

Examples that pass all recorded checks are marked with translation_verified = true.

This flag is intentionally conservative:

• —true means the example passed the implemented structural checks
• —false does not necessarily mean the translation is unusable; it means at least one structural check did not pass

Data Format

Example schema:

{
    "id": "personas_IF_...",
    "prompt": "Escribe ...",
    "messages": [
        {"role": "user", "content": "..."},
        {"role": "assistant", "content": "..."}
    ],
    "constraints": ["format:title", "length constraints:number of words"],
    "source": "tulu_personas_if_es_openai",
    "translation_verified": True,
    "translation_checks": [...],
    "translation_model": "gpt-5.4-mini"
}

Licensing And Provenance

This dataset is derived from:

• —`allenai/tulu-3-sft-personas-instruction-following`

The source dataset card lists the license as odc-by. This translated release should be treated as a derivative work of the original dataset, with attribution to the original creators.

If you reuse this dataset, please cite or acknowledge both:

• —the original AllenAI dataset
• —this Spanish translated derivative

Acknowledgements

Thanks to the AllenAI team for releasing the original Tulu 3 instruction-following data, and to the open-source Hugging Face ecosystem for making derivative dataset publication straightforward.

Citation

If you use this translated dataset, please cite the original dataset and mention this Spanish translation release in your implementation details or dataset appendix.