shrugging-shoulders/ifeval_multilang

Name: shrugging-shoulders/ifeval_multilang
Creator: shrugging-shoulders
Published: 2026-08-10T19:49:54
License: https://www.apache.org/licenses/LICENSE-2.0

published by @shrugging-shoulders

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

Last 30 days

Likes

Size

6.0 MB

Created on HF

2026-08-10

Age

2 months ago

Description

A dataset for improving instruction following capabilities, based on ifeval benchmark.

Included languages:

English

French

German

Spanish

Italian

Portuguese

Russian

Chinese

Japanese

Does have exact same sample structures as benchmark (or very similar), but has slightly different constraints and has multiple languages.

Language distribution:

1:1 - every language is evenly present

README current version from Hugging Face

dataset_info:
features:

name: messages
list:
- name: role
  dtype: string
- name: content
  dtype: string
name: language
dtype: string
name: capability_target
dtype: string
splits:
name: train
num_bytes: 6450550
num_examples: 4662
download_size: 6260808
dataset_size: 6450550
configs:
config_name: default
data_files:
- split: train
  path: data/train-*
  license: apache-2.0
  language:
en
fr
de
es
it
pt
ru
zh
ja
task_categories:
text-generation
size_categories:
1K<n<10K

A dataset for improving instruction following capabilities, based on ifeval benchmark.

Included languages:

English
French
German
Spanish
Italian
Portuguese
Russian
Chinese
Japanese

Does have exact same sample structures as benchmark (or very similar), but has slightly different constraints and has multiple languages.

Language distribution:
1:1 - every language is evenly present

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.

2026-08-10Update README.md2318c8f969 B
Loading...
2026-08-10Update README.mda02d533815 B
Loading...
2026-08-10Update README.mdb9c6e61677 B
Loading...
2026-08-10Upload dataset31b12fe430 B
Loading...
2026-08-10initial commit84c7e100 B
Loading...

Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

2026-08-11[bot] Conversion to Parquetclosed1 💬#1
Loading...

Continue on Hugging Face →

Related datasets same stage · evaluate

Read further

Community best practices (evaluation)

4 rules on judges, benchmarks, and reporting.

Reference-set drift over time

Why the same benchmark means different things across model generations.

How we label the method for each model

The 12 classification rules that assign M1-M8 to every model.

Non-English abliteration communities

The Korean scepticism about one-click tools and non-English benchmark blindspots.

Metadata

License

apache-2.0

Repository

DIR data FILE .gitattributes FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

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("shrugging-shoulders/ifeval_multilang")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="shrugging-shoulders/ifeval_multilang", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/shrugging-shoulders/ifeval_multilang

Browse repository on Hugging Face ->