Publish the script that built this dataset

scripts/create_dataset.py

@@ -0,0 +1,109 @@
+"""Publish an exact, revision-pinned copy of the official single-turn IFBench data."""
+
+import argparse
+import hashlib
+import json
+from pathlib import Path
+from urllib.request import urlopen
+
+from datasets import Dataset, Features, Json, List, Value, load_dataset
+from huggingface_hub import HfApi, hf_hub_download
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--output-dataset", required=True)
+    parser.add_argument("--source-revision", required=True)
+    args = parser.parse_args()
+    source = f"https://raw.githubusercontent.com/allenai/IFBench/{args.source_revision}/ifbench/data/IFBench_test.jsonl"
+    raw = urlopen(source).read()
+    records = [json.loads(line) for line in raw.splitlines() if line.strip()]
+    assert len(records) == 300 and len({row['key'] for row in records}) == 300
+    features = Features(
+        {
+            "key": Value("string"),
+            "prompt": Value("string"),
+            "instruction_id_list": List(Value("string")),
+            "kwargs": Json(),
+        }
+    )
+    dataset = Dataset.from_list(records, features=features)
+    assert list(dataset) == records
+    api = HfApi()
+    # Never replace an existing repository or its dataset card.
+    api.create_repo(args.output_dataset, repo_type="dataset", private=False, exist_ok=False)
+    dataset.push_to_hub(args.output_dataset, config_name="default", split="test")
+    generated_card = Path(hf_hub_download(args.output_dataset, "README.md", repo_type="dataset")).read_text()
+    yaml = generated_card.split("---", 2)[1].strip()
+    card = f"""---
+license: odc-by
+language:
+- en
+tags:
+- evaluation
+- instruction-following
+{yaml}
+---
+
+| subset | description | num_samples |
+| --- | --- | ---: |
+| `default` | Official single-turn IFBench test prompts, unchanged; `test` split | {len(dataset)} |
+
+# 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: `{args.source_revision}`.
+- Source file: [`ifbench/data/IFBench_test.jsonl`]({source}).
+- Original file SHA-256: `{hashlib.sha256(raw).hexdigest()}`.
+- 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/{args.source_revision}/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 {args.output_dataset} --source-revision {args.source_revision}
+```
+
+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("{args.output_dataset}", "default", split="test")
+```
+
+Pin a Hub commit revision for reproducible evaluation. This repository contains evaluation data, not training data.
+"""
+    api.upload_file(
+        path_or_fileobj=card.encode(), path_in_repo="README.md", repo_id=args.output_dataset, repo_type="dataset"
+    )
+    commit = api.upload_file(
+        path_or_fileobj=__file__,
+        path_in_repo="scripts/create_dataset.py",
+        repo_id=args.output_dataset,
+        repo_type="dataset",
+        commit_message="Publish the script that built this dataset",
+    )
+    loaded = load_dataset(args.output_dataset, "default", split="test", revision=commit.oid)
+    assert list(loaded) == records
+    print(json.dumps({"dataset": args.output_dataset, "revision": commit.oid, "samples": len(loaded)}))
+
+
+if __name__ == "__main__":
+    main()