Hugging Face's logo

Datasets:
HuggingFaceH4
/
IFBench

Modalities:
Text
Formats:
parquet
Languages:
English
Size:
< 1K
ArXiv:
Tags:
evaluation
instruction-following
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
IFBench / README.md
edbeeching's picture
edbeeching HF Staff
Upload README.md with huggingface_hub
4cf5425 verified
preview code
|
Raw History Blame Contribute Delete
2.89 kB
metadata 
license: odc-by
language:
  - en
tags:
  - evaluation
  - instruction-following
dataset_info:
  features:
    - name: key
      dtype: string
    - name: prompt
      dtype: string
    - name: instruction_id_list
      list: string
    - name: kwargs
      dtype: json
  splits:
    - name: test
      num_bytes: 378650
      num_examples: 300
  download_size: 83688
  dataset_size: 378650
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*
subset description num_samples
default Official single-turn IFBench test prompts, unchanged; test split 300

IFBench

An exact mirror of the single-turn test data from AllenAI IFBench. Credit: Valentina Pyatkin, Saumya Malik, Victoria Graf, Hamish Ivison, Shengyi Huang, Pradeep Dasigi, Nathan Lambert, and Hannaneh Hajishirzi, Generalizing Verifiable Instruction Following.

Provenance and license

  • Source revision: 1c40f0c10d9b5c5c2f10a175a28007ebb64f7f4d.
  • Source file: ifbench/data/IFBench_test.jsonl.
  • Original file SHA-256: a2bf7b8e7ed11d39c65b4ec781da8b99663ed0121f97033d70fcecb61f8a9d85.
  • No filtering, prompt changes, or row reordering. All original fields and values are preserved.
  • kwargs uses the Hugging Face Datasets JSON feature to preserve heterogeneous argument dictionaries; use datasets>=4.7.0 to load it as a list of dictionaries. Other fields are key, prompt, and instruction_id_list.
  • The data is licensed under ODC-BY-1.0, as stated in the upstream README. It is intended for research and educational use under Ai2's Responsible Use Guidelines. It includes outputs generated by third-party models, which may be subject to separate terms.
  • Verifier code is separately Apache-2.0 licensed; it is not part of this dataset release.

Reproducing

The builder is published at scripts/create_dataset.py. Exact publication invocation:

python scripts/create_dataset.py --output-dataset HuggingFaceH4/IFBench --source-revision 1c40f0c10d9b5c5c2f10a175a28007ebb64f7f4d

To reproduce independently, use an unused repository name under your own namespace. The builder refuses to overwrite an existing repository. It requires datasets>=4.7.0 and huggingface_hub, and a token with write access to the destination.

Loading 

from datasets import load_dataset

dataset = load_dataset("HuggingFaceH4/IFBench", "default", split="test")

Pin a Hub commit revision for reproducible evaluation. This repository contains evaluation data, not training data.