Replace with Croissant-friendly questions table

scripts/export_hf_questions.py

@@ -2,7 +2,6 @@
 from __future__ import annotations
 
 import argparse
-import hashlib
 import json
 from pathlib import Path
 from typing import Any
@@ -84,12 +83,6 @@ def as_list(value: Any) -> list[Any]:
     return [value]
 
 
-def stable_id(source_rel: str) -> str:
-    digest = hashlib.sha1(source_rel.encode("utf-8")).hexdigest()[:12]
-    readable = source_rel.removesuffix(".json").replace("/", "__").replace(" ", "_").replace("&", "and")
-    return f"{readable}__{digest}"
-
-
 def normalize_answer(raw: Any) -> str | int | float | bool | list[Any] | dict[str, Any] | None:
     if raw is None:
         return None
@@ -233,7 +226,7 @@ def compact_metadata(payload: dict[str, Any]) -> dict[str, Any]:
     return metadata
 
 
-def record_for_file(path: Path, json_root: Path) -> dict[str, Any]:
+def record_for_file(path: Path, json_root: Path, row_id: str) -> dict[str, Any]:
     rel = path.relative_to(json_root)
     parts = rel.parts
     if len(parts) < 5:
@@ -242,12 +235,11 @@ def record_for_file(path: Path, json_root: Path) -> dict[str, Any]:
     big_task, small_task, scene_from_path, room_from_path = parts[:4]
     payload = json.loads(path.read_text(encoding="utf-8"))
     question, answer, options = extract_question_answer(payload)
-    source_rel = rel.as_posix()
     scene = text(payload.get("scene")) or scene_from_path
     room = text(payload.get("room")) or room_from_path
 
     return {
-        "id": stable_id(source_rel),
+        "id": row_id,
         "big_task": big_task,
         "small_task": small_task,
         "runner_task": RUNNER_TASK_BY_SMALL.get(small_task),
@@ -270,7 +262,11 @@ def main() -> int:
 
     json_root = args.json_root
     question_files = sorted(p for p in json_root.rglob("*.json") if p.parent != json_root)
-    records = [record_for_file(path, json_root) for path in question_files]
+    id_width = max(4, len(str(len(question_files))))
+    records = [
+        record_for_file(path, json_root, f"{index:0{id_width}d}")
+        for index, path in enumerate(question_files, start=1)
+    ]
 
     args.output.parent.mkdir(parents=True, exist_ok=True)
     with args.output.open("w", encoding="utf-8") as f:

scripts/upload_hf_dataset.py

@@ -0,0 +1,57 @@
+#!/usr/bin/env python3
+from __future__ import annotations
+
+import argparse
+import subprocess
+import sys
+from pathlib import Path
+
+from huggingface_hub import HfApi
+
+
+def run_export(repo_root: Path) -> None:
+    subprocess.run(
+        [sys.executable, "scripts/export_hf_questions.py"],
+        cwd=repo_root,
+        check=True,
+    )
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Upload the Croissant-friendly ESI-Bench table to Hugging Face.")
+    parser.add_argument("--repo-id", default="ESI-Bench/esi-bench")
+    parser.add_argument("--repo-root", type=Path, default=Path(__file__).resolve().parents[1])
+    parser.add_argument("--private", action="store_true", help="Create the dataset repo as private if it does not exist.")
+    parser.add_argument("--skip-export", action="store_true", help="Upload existing data/questions.jsonl without regenerating it.")
+    parser.add_argument("--commit-message", default="Replace with Croissant-friendly questions table")
+    args = parser.parse_args()
+
+    repo_root = args.repo_root.resolve()
+    if not args.skip_export:
+        run_export(repo_root)
+
+    api = HfApi()
+    api.create_repo(repo_id=args.repo_id, repo_type="dataset", private=args.private, exist_ok=True)
+    api.upload_folder(
+        folder_path=repo_root,
+        repo_id=args.repo_id,
+        repo_type="dataset",
+        allow_patterns=[
+            "README.md",
+            "data/questions.jsonl",
+            "scripts/export_hf_questions.py",
+            "scripts/upload_hf_dataset.py",
+        ],
+        delete_patterns=[
+            "data/**",
+            "dataset/**",
+            "scripts/**",
+        ],
+        commit_message=args.commit_message,
+    )
+    print(f"Uploaded {repo_root} to https://huggingface.co/datasets/{args.repo_id}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())