README current version from Hugging Face

dataset_info:
features:

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dtype: int64
name: prompt
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name: kwargs
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  splits:
name: train_en
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num_examples: 541
name: train_asm
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num_examples: 541
name: train_ben
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num_examples: 541
name: train_guj
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num_examples: 541
name: train_hin
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num_examples: 541
name: train_kan
num_bytes: 519358
num_examples: 541
name: train_mal
num_bytes: 532334
num_examples: 541
name: train_mar
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num_examples: 541
name: train_nep
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num_examples: 541
name: train_odi
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name: train_pan
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name: train_tam
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num_examples: 541
name: train_tel
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num_examples: 541
name: train_urd
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num_examples: 541
download_size: 1927384
dataset_size: 6624518
configs:
config_name: default
data_files:
- split: train_en
  path: data/train_en-*
- split: train_asm
  path: data/train_asm-*
- split: train_ben
  path: data/train_ben-*
- split: train_guj
  path: data/train_guj-*
- split: train_hin
  path: data/train_hin-*
- split: train_kan
  path: data/train_kan-*
- split: train_mal
  path: data/train_mal-*
- split: train_mar
  path: data/train_mar-*
- split: train_nep
  path: data/train_nep-*
- split: train_odi
  path: data/train_odi-*
- split: train_pan
  path: data/train_pan-*
- split: train_tam
  path: data/train_tam-*
- split: train_tel
  path: data/train_tel-*
- split: train_urd
  path: data/train_urd-*

README history 2 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.

2025-09-16Add IFEval dataset translated to 13 Indian languages with English response su...9d3d79f2.9 KB
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2025-09-16initial commitcbbdc2c0 B
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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 open · 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.

2025-09-17[bot] Conversion to Parquetopen1 💬#1
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Repository

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

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("manan-u/ifeval-translated")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="manan-u/ifeval-translated", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/manan-u/ifeval-translated

Browse repository on Hugging Face ->

manan-u/ifeval-translated

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