| --- |
| 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](https://github.com/allenai/IFBench). |
| Credit: Valentina Pyatkin, Saumya Malik, Victoria Graf, Hamish Ivison, Shengyi Huang, Pradeep Dasigi, |
| Nathan Lambert, and Hannaneh Hajishirzi, [Generalizing Verifiable Instruction Following](https://huggingface.co/papers/2507.02833). |
| |
| ## Provenance and license |
| |
| - Source revision: `1c40f0c10d9b5c5c2f10a175a28007ebb64f7f4d`. |
| - Source file: [`ifbench/data/IFBench_test.jsonl`](https://raw.githubusercontent.com/allenai/IFBench/1c40f0c10d9b5c5c2f10a175a28007ebb64f7f4d/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](https://opendatacommons.org/licenses/by/1-0/), as stated in the |
| [upstream README](https://github.com/allenai/IFBench/blob/1c40f0c10d9b5c5c2f10a175a28007ebb64f7f4d/README.md#licensing). |
| 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: |
|
|
| ```bash |
| 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 |
|
|
| ```python |
| 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. |
|
|
