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HiTZ/ifeval_gl

published by @HiTZ

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
223
Last 30 days
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Size
220 KB
Created on HF
2026-03-16
Age
7 months ago

Description

IFEval GL

Dataset Summary

IFEval GL is a Galician instruction-following evaluation dataset in JSONL format.It contains prompts together with the corresponding instruction identifiers and argument constraints used for evaluation.

Dataset Structure

Split

Rows

Features

train

541

4

Features

Feature

Type

Description

key

integer

Unique example identifier

prompt

string

Instruction prompt in Galician… See the full description on the dataset page: https://huggingface.co/datasets/HiTZ/ifeval_gl.

Tags

task_categories:text-generationlanguage:glsize_categories:n<1Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usifevalinstruction-followinggalicianevaluation

README current version from Hugging Face


language:

  • gl
    pretty_name: IFEval GL
    task_categories:
  • text-generation
    tags:
  • ifeval
  • instruction-following
  • galician
  • evaluation
    size_categories:
  • n<1K

IFEval GL

Dataset Summary

IFEval GL is a Galician instruction-following evaluation dataset in JSONL format.
It contains prompts together with the corresponding instruction identifiers and argument constraints used for evaluation.

Dataset Structure

Split Rows Features
train 541 4

Features

Feature Type Description
key integer Unique example identifier
prompt string Instruction prompt in Galician
instruction_id_list list[string] List of instruction categories associated with the example
kwargs list[dict] Parameters associated with each instruction

License

Apache 2.0

Example

{"key":1000,"prompt":"Fai un resumo de máis de 300 palabras sobre a páxina de Wikipedia \"https://en.wikipedia.org/wiki/Raymond_III,_Count_of_Tripoli\". Non uses ningunha coma e destaca polo menos 3 seccións que teñan títulos en formato markdown, por exemplo *sección destacada parte 1*, *sección destacada parte 2*, *sección destacada parte 3*.","instruction_id_list":["punctuation:no_comma","detectable_format:number_highlighted_sections","length_constraints:number_words"],"kwargs":[{},{"num_highlights":3},{"relation":"at least","num_words":300}]}

README history 4 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.

  1. 2026-09-30Update README.mdab178341.4 KB
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  2. 2026-03-16Create README.md9742b881.4 KB
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  3. 2026-03-16Upload input_data.gl.jsonl with huggingface_hubca4ecd90 B
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  4. 2026-03-16initial commit9e7e5ce0 B
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Repository

Download the dataset

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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("HiTZ/ifeval_gl")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="HiTZ/ifeval_gl", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/HiTZ/ifeval_gl
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