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Thanmay/IFEval

published by @Thanmay

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
828
Last 30 days
8
Likes
-
Size
376 KB
Created on HF
2025-07-14
Age
1 years ago

Tags

size_categories:1K<n<10Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:

  • config_name: default
    features:
    • name: key
      dtype: int64
    • name: prompt
      dtype: string
    • name: instruction_id_list
      list: string
    • name: kwargs
      list:
      • name: capital_frequency
        dtype: float64
      • name: capital_relation
        dtype: string
      • name: end_phrase
        dtype: string
      • name: first_word
        dtype: string
      • name: forbidden_words
        list: string
      • name: frequency
        dtype: float64
      • name: keyword
        dtype: string
      • name: keywords
        list: string
      • name: language
        dtype: string
      • name: let_frequency
        dtype: float64
      • name: let_relation
        dtype: string
      • name: letter
        dtype: string
      • name: nth_paragraph
        dtype: float64
      • name: num_bullets
        dtype: float64
      • name: num_highlights
        dtype: float64
      • name: num_paragraphs
        dtype: float64
      • name: num_placeholders
        dtype: float64
      • name: num_sections
        dtype: float64
      • name: num_sentences
        dtype: float64
      • name: num_words
        dtype: float64
      • name: postscript_marker
        dtype: string
      • name: prompt_to_repeat
        dtype: string
      • name: relation
        dtype: string
      • name: section_spliter
        dtype: string
    • name: resp_lang
      dtype: string
      splits:
    • name: train
      num_bytes: 514078
      num_examples: 541
      download_size: 141110
      dataset_size: 514078
  • config_name: en
    features:
    • name: key
      dtype: int64
    • name: prompt
      dtype: string
    • name: instruction_id_list
      list: string
    • name: kwargs
      list:
      • name: capital_frequency
        dtype: float64
      • name: capital_relation
        dtype: string
      • name: end_phrase
        dtype: string
      • name: first_word
        dtype: string
      • name: forbidden_words
        list: string
      • name: frequency
        dtype: float64
      • name: keyword
        dtype: string
      • name: keywords
        list: string
      • name: language
        dtype: string
      • name: let_frequency
        dtype: float64
      • name: let_relation
        dtype: string
      • name: letter
        dtype: string
      • name: nth_paragraph
        dtype: float64
      • name: num_bullets
        dtype: float64
      • name: num_highlights
        dtype: float64
      • name: num_paragraphs
        dtype: float64
      • name: num_placeholders
        dtype: float64
      • name: num_sections
        dtype: float64
      • name: num_sentences
        dtype: float64
      • name: num_words
        dtype: float64
      • name: postscript_marker
        dtype: string
      • name: prompt_to_repeat
        dtype: string
      • name: relation
        dtype: string
      • name: section_spliter
        dtype: string
    • name: resp_lang
      dtype: string
      splits:
    • name: train
      num_bytes: 301246
      num_examples: 541
      download_size: 93131
      dataset_size: 301246
  • config_name: hi
    features:
    • name: key
      dtype: int64
    • name: prompt
      dtype: string
    • name: instruction_id_list
      list: string
    • name: kwargs
      list:
      • name: capital_frequency
        dtype: float64
      • name: capital_relation
        dtype: string
      • name: end_phrase
        dtype: string
      • name: first_word
        dtype: string
      • name: forbidden_words
        list: string
      • name: frequency
        dtype: float64
      • name: keyword
        dtype: string
      • name: keywords
        list: string
      • name: language
        dtype: string
      • name: let_frequency
        dtype: float64
      • name: let_relation
        dtype: string
      • name: letter
        dtype: string
      • name: nth_paragraph
        dtype: float64
      • name: num_bullets
        dtype: float64
      • name: num_highlights
        dtype: float64
      • name: num_paragraphs
        dtype: float64
      • name: num_placeholders
        dtype: float64
      • name: num_sections
        dtype: float64
      • name: num_sentences
        dtype: float64
      • name: num_words
        dtype: float64
      • name: postscript_marker
        dtype: string
      • name: prompt_to_repeat
        dtype: string
      • name: relation
        dtype: string
      • name: section_spliter
        dtype: string
    • name: resp_lang
      dtype: string
      splits:
    • name: train
      num_bytes: 524708
      num_examples: 541
      download_size: 143822
      dataset_size: 524708
      configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
  • config_name: en
    data_files:
    • split: train
      path: en/train-*
  • config_name: hi
    data_files:
    • split: train
      path: hi/train-*

README history 15 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. 2025-07-25translations:v1d92786d4.4 KB
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  2. 2025-07-17translations:v1p31af3be4.4 KB
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  3. 2025-07-17fix let_frequency (hi)6a1a5dc4.4 KB
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  4. 2025-07-17fix prompt_to_repeat (hi)9cd8f2c4.4 KB
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  5. 2025-07-17hi resp_english keywords fixed9a3f2854.4 KB
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  6. 2025-07-17resp_english (en)7de08994.4 KB
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  7. 2025-07-17resp_english (hi)de9a4184.4 KB
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  8. 2025-07-16translations:v12a714184.4 KB
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  9. 2025-07-16translations:v109f5d394.3 KB
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  10. 2025-07-16transformed5b99a414.3 KB
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  11. 2025-07-16pretranslations1d14f0f4.3 KB
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  12. 2025-07-14Upload dataset2dc1db84.3 KB
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  13. 2025-07-14Upload datasetb372e2b2.8 KB
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  14. 2025-07-14Upload dataset1140dce1.4 KB
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  15. 2025-07-14initial commit55809680 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.

  1. 2025-07-15[bot] Conversion to Parquetopen1 💬#1
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Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("Thanmay/IFEval")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Thanmay/IFEval", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Thanmay/IFEval
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