evaluate 0 0 0

allenai/IF_multi_constraints_upto5

published by @allenai

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
26.6K
Last 30 days
2.7K
Likes
27
Size
68.9 MB
Created on HF
2025-06-03
Age
1 years ago

Description

Dataset

This is the IF-RLVR training data, with up to 5 constraints per instruction. The constraints are sampled from IFEval (25) and IFBench-Train (29).

License

This dataset is licensed under ODC-BY-1.0. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines. This dataset includes output data generated from third party models that are subject to separate terms governing their use.

Citation

Please cite:… See the full description on the dataset page: https://huggingface.co/datasets/allenai/IF_multi_constraints_upto5.

Tags

license:odc-bysize_categories:10K<n<100Kformat:parquetmodality:textlibrary:datasetslibrary:pandaslibrary:mlcroissantlibrary:polarsregion:us

README current version from Hugging Face


dataset_info:
features:

  • name: key
    dtype: string
  • name: messages
    list:
    • name: content
      dtype: string
    • name: role
      dtype: string
  • name: ground_truth
    dtype: string
  • name: dataset
    dtype: string
  • name: constraint_type
    dtype: string
  • name: constraint
    dtype: string
    splits:
  • name: train
    num_bytes: 162248324
    num_examples: 95373
    download_size: 72198499
    dataset_size: 162248324
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      license: odc-by

Dataset

This is the IF-RLVR training data, with up to 5 constraints per instruction. The constraints are sampled from IFEval (25) and IFBench-Train (29).

License

This dataset is licensed under ODC-BY-1.0. It is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines. This dataset includes output data generated from third party models that are subject to separate terms governing their use.

Citation

Please cite:

@misc{pyatkin2025generalizing,
   title={Generalizing Verifiable Instruction Following}, 
   author={Valentina Pyatkin and Saumya Malik and Victoria Graf and Hamish Ivison and Shengyi Huang and Pradeep Dasigi and Nathan Lambert and Hannaneh Hajishirzi},
   year={2025},
   eprint={TODO},
   archivePrefix={arXiv},
   primaryClass={cs.CL}
}

README history 6 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. 2025-10-02Update README.md2e3a7741.4 KB
    Loading...
  2. 2025-07-03Update README.mda274b831.4 KB
    Loading...
  3. 2025-07-03Update README.mdbaeef611.2 KB
    Loading...
  4. 2025-06-04Upload dataset7c1813b545 B
    Loading...
  5. 2025-06-03Upload dataset1562eaf545 B
    Loading...
  6. 2025-06-03initial commit334ef780 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 2 threads · 6 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. 2025-09-06Need implementation of instruction constraints present in this datasetclosed2 💬#2
    Loading...
  2. 2025-06-13verify tools ?closed4 💬#1
    Loading...

Related datasets same stage · evaluate

Read further

Metadata

License
odc-by

Repository

Download the dataset

0

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("allenai/IF_multi_constraints_upto5")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="allenai/IF_multi_constraints_upto5", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/allenai/IF_multi_constraints_upto5
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration