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taowangcheng/Original-IFEval

published by @taowangcheng

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
346
Last 30 days
11
Likes
-
Size
30.7 MB
Created on HF
2026-03-19
Age
7 months ago

Tags

size_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face


dataset_info:

  • config_name: benchmark
    features:
    • name: key
      dtype: int64
    • name: prompt
      dtype: string
    • name: instruction_id_list
      sequence: string
    • name: kwargs
      list:
      • name: num_highlights
        dtype: int64
      • name: relation
        dtype: string
      • name: num_words
        dtype: int64
      • name: num_placeholders
        dtype: int64
      • name: prompt_to_repeat
        dtype: string
      • name: num_bullets
        dtype: int64
      • name: section_spliter
        dtype: string
      • name: num_sections
        dtype: int64
      • name: capital_relation
        dtype: string
      • name: capital_frequency
        dtype: int64
      • name: keywords
        sequence: string
      • name: num_paragraphs
        dtype: int64
      • name: language
        dtype: string
      • name: let_relation
        dtype: string
      • name: letter
        dtype: string
      • name: let_frequency
        dtype: int64
      • name: end_phrase
        dtype: string
      • name: forbidden_words
        sequence: string
      • name: keyword
        dtype: string
      • name: frequency
        dtype: int64
      • name: num_sentences
        dtype: int64
      • name: postscript_marker
        dtype: string
      • name: first_word
        dtype: string
      • name: nth_paragraph
        dtype: int64
        splits:
    • name: test
      num_bytes: 281983
      num_examples: 541
      download_size: 92092
      dataset_size: 281983
  • config_name: filtered
    features:
    • name: key
      dtype: int64
    • name: prompt
      dtype: string
    • name: response
      dtype: string
    • name: instruction_id_list
      sequence: string
    • name: kwargs
      list:
      • name: capital_frequency
        dtype: int64
      • name: capital_relation
        dtype: string
      • name: end_phrase
        dtype: string
      • name: first_word
        dtype: string
      • name: forbidden_words
        sequence: string
      • name: frequency
        dtype: int64
      • name: keyword
        dtype: string
      • name: keywords
        sequence: string
      • name: let_frequency
        dtype: int64
      • name: let_relation
        dtype: string
      • name: letter
        dtype: string
      • name: nth_paragraph
        dtype: int64
      • name: num_bullets
        dtype: int64
      • name: num_highlights
        dtype: int64
      • name: num_paragraphs
        dtype: int64
      • name: num_placeholders
        dtype: int64
      • name: num_sections
        dtype: int64
      • name: num_sentences
        dtype: int64
      • name: num_words
        dtype: int64
      • name: postscript_marker
        dtype: string
      • name: relation
        dtype: string
      • name: section_spliter
        dtype: string
    • name: prompt_level_strict_acc
      dtype: bool
    • name: inst_level_strict_acc
      sequence: bool
    • name: prompt_level_loose_acc
      dtype: bool
    • name: inst_level_loose_acc
      sequence: bool
      splits:
    • name: full
      num_bytes: 96040048
      num_examples: 56339
    • name: train
      num_bytes: 852340.7231225262
      num_examples: 500
      download_size: 32081528
      dataset_size: 96892388.72312252
      configs:
  • config_name: benchmark
    data_files:
    • split: test
      path: benchmark/test-*
  • config_name: filtered
    data_files:
    • split: full
      path: filtered/full-*
    • split: train
      path: filtered/train-*

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.

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  2. 2026-03-19Upload dataset8373a751.7 KB
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  3. 2026-03-19Upload datasete223cd51.6 KB
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  4. 2026-03-19initial commitd7ab4bc0 B
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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("taowangcheng/Original-IFEval")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="taowangcheng/Original-IFEval", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/taowangcheng/Original-IFEval
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