Add files using upload-large-folder tool

.gitattributes

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README.md

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+# Benchmark Hugging Face Release
+
+This directory contains the current benchmark release split into question JSON files and per-community data archives.
+
+- `datasets/codabench.json`: full benchmark questions.
+- `datasets/codabench-hard.json`: hard subset questions.
+- `archives/community_*.tar.zst`: compressed data archives for Hugging Face Git LFS upload.
+- `archives_manifest.json`: archive size, SHA256, and extraction target metadata.
+- `release_manifest.json`: source-to-release community mapping and copy statistics.
+- `scripts/extract_archives.py`: verifies archive SHA256 values and extracts data.
+
+Each question row has `release_community` and `data_path`. After extracting an archive, its contents land at that `data_path`, for example:
+
+```bash
+python scripts/extract_archives.py --community community_0
+```
+
+For all archives:
+
+```bash
+python scripts/extract_archives.py
+```
+
+The data copy dereferences the symlinks produced by `stage1_setup`, so the archives contain actual file contents rather than symlink placeholders.
+
+Recommended Hugging Face layout:
+
+```text
+datasets/
+archives/
+archives_manifest.json
+release_manifest.json
+README.md
+scripts/
+```

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+  },
+  "num_archives": 53,
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release_manifest.json

@@ -0,0 +1,391 @@
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+      "source_community": "community_27",
+      "source_env_dir": "da_filter_communities_community_27",
+      "data_path": "data/community_33/full_community"
+    },
+    "da_filter_communities/community_33": {
+      "community_id": "community_34",
+      "source_type": "da_filter_communities",
+      "source_community": "community_33",
+      "source_env_dir": "da_filter_communities_community_33",
+      "data_path": "data/community_34/full_community"
+    },
+    "da_filter_communities/community_37": {
+      "community_id": "community_35",
+      "source_type": "da_filter_communities",
+      "source_community": "community_37",
+      "source_env_dir": "da_filter_communities_community_37",
+      "data_path": "data/community_35/full_community"
+    },
+    "da_filter_communities/community_40": {
+      "community_id": "community_36",
+      "source_type": "da_filter_communities",
+      "source_community": "community_40",
+      "source_env_dir": "da_filter_communities_community_40",
+      "data_path": "data/community_36/full_community"
+    },
+    "da_filter_communities/community_43": {
+      "community_id": "community_37",
+      "source_type": "da_filter_communities",
+      "source_community": "community_43",
+      "source_env_dir": "da_filter_communities_community_43",
+      "data_path": "data/community_37/full_community"
+    },
+    "da_filter_communities/community_44": {
+      "community_id": "community_38",
+      "source_type": "da_filter_communities",
+      "source_community": "community_44",
+      "source_env_dir": "da_filter_communities_community_44",
+      "data_path": "data/community_38/full_community"
+    },
+    "da_filter_communities/community_49": {
+      "community_id": "community_39",
+      "source_type": "da_filter_communities",
+      "source_community": "community_49",
+      "source_env_dir": "da_filter_communities_community_49",
+      "data_path": "data/community_39/full_community"
+    },
+    "da_filter_communities/community_50": {
+      "community_id": "community_40",
+      "source_type": "da_filter_communities",
+      "source_community": "community_50",
+      "source_env_dir": "da_filter_communities_community_50",
+      "data_path": "data/community_40/full_community"
+    },
+    "da_filter_communities/community_54": {
+      "community_id": "community_41",
+      "source_type": "da_filter_communities",
+      "source_community": "community_54",
+      "source_env_dir": "da_filter_communities_community_54",
+      "data_path": "data/community_41/full_community"
+    },
+    "da_filter_communities/community_60": {
+      "community_id": "community_42",
+      "source_type": "da_filter_communities",
+      "source_community": "community_60",
+      "source_env_dir": "da_filter_communities_community_60",
+      "data_path": "data/community_42/full_community"
+    },
+    "da_filter_communities/community_65": {
+      "community_id": "community_43",
+      "source_type": "da_filter_communities",
+      "source_community": "community_65",
+      "source_env_dir": "da_filter_communities_community_65",
+      "data_path": "data/community_43/full_community"
+    },
+    "da_filter_communities/community_90": {
+      "community_id": "community_44",
+      "source_type": "da_filter_communities",
+      "source_community": "community_90",
+      "source_env_dir": "da_filter_communities_community_90",
+      "data_path": "data/community_44/full_community"
+    },
+    "da_filter_communities/community_103": {
+      "community_id": "community_45",
+      "source_type": "da_filter_communities",
+      "source_community": "community_103",
+      "source_env_dir": "da_filter_communities_community_103",
+      "data_path": "data/community_45/full_community"
+    },
+    "da_filter_communities/community_129": {
+      "community_id": "community_46",
+      "source_type": "da_filter_communities",
+      "source_community": "community_129",
+      "source_env_dir": "da_filter_communities_community_129",
+      "data_path": "data/community_46/full_community"
+    },
+    "da_filter_communities/community_136": {
+      "community_id": "community_47",
+      "source_type": "da_filter_communities",
+      "source_community": "community_136",
+      "source_env_dir": "da_filter_communities_community_136",
+      "data_path": "data/community_47/full_community"
+    },
+    "da_filter_communities/community_153": {
+      "community_id": "community_48",
+      "source_type": "da_filter_communities",
+      "source_community": "community_153",
+      "source_env_dir": "da_filter_communities_community_153",
+      "data_path": "data/community_48/full_community"
+    },
+    "da_filter_communities/community_154": {
+      "community_id": "community_49",
+      "source_type": "da_filter_communities",
+      "source_community": "community_154",
+      "source_env_dir": "da_filter_communities_community_154",
+      "data_path": "data/community_49/full_community"
+    },
+    "da_filter_communities/community_175": {
+      "community_id": "community_50",
+      "source_type": "da_filter_communities",
+      "source_community": "community_175",
+      "source_env_dir": "da_filter_communities_community_175",
+      "data_path": "data/community_50/full_community"
+    },
+    "da_filter_communities/community_194": {
+      "community_id": "community_51",
+      "source_type": "da_filter_communities",
+      "source_community": "community_194",
+      "source_env_dir": "da_filter_communities_community_194",
+      "data_path": "data/community_51/full_community"
+    },
+    "da_filter_communities/community_200": {
+      "community_id": "community_52",
+      "source_type": "da_filter_communities",
+      "source_community": "community_200",
+      "source_env_dir": "da_filter_communities_community_200",
+      "data_path": "data/community_52/full_community"
+    }
+  },
+  "copy_policy": "All data files are copied with symlinks dereferenced; root result.txt and task_description.txt are excluded.",
+  "archives_manifest": "archives_manifest.json",
+  "archive_policy": "Data is published as one tar.zst archive per release community. Each archive extracts to the data_path referenced by the question JSON."
+}

scripts/build_release.py

@@ -0,0 +1,169 @@
+#!/usr/bin/env python3
+"""Build the Hugging Face release layout for the current benchmark."""
+
+from __future__ import annotations
+
+import json
+import shutil
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[5]
+EVAL_STAGES = ROOT / "Kaggle" / "analyze_code" / "eval_stages"
+HF_DIR = EVAL_STAGES / "huggingface_version"
+QUESTION_SRC = EVAL_STAGES / "supplementmaterial" / "datasets"
+ENV_DIR = (
+    EVAL_STAGES
+    / "eval_environment"
+    / "eval_run_260118_finalset_AGENT_swe-agent-gpt-5.2_20260331"
+)
+
+QUESTION_FILES = ("codabench.json", "codabench-hard.json")
+SKIP_ROOT_FILES = {"result.txt", "task_description.txt"}
+
+
+def community_sort_key(pair: tuple[str, str]) -> tuple[str, int]:
+    source_type, community = pair
+    return source_type, int(community.rsplit("_", 1)[1])
+
+
+def load_questions() -> dict[str, list[dict]]:
+    return {
+        name: json.loads((QUESTION_SRC / name).read_text(encoding="utf-8"))
+        for name in QUESTION_FILES
+    }
+
+
+def write_json(path: Path, data: object) -> None:
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text(
+        json.dumps(data, ensure_ascii=False, indent=2) + "\n",
+        encoding="utf-8",
+    )
+
+
+def copy_tree_deref(src: Path, dst: Path) -> None:
+    """Copy a file or directory while dereferencing symlinks."""
+    if src.is_dir():
+        shutil.copytree(src, dst, symlinks=False, dirs_exist_ok=True)
+    elif src.is_file():
+        dst.parent.mkdir(parents=True, exist_ok=True)
+        shutil.copy2(src, dst, follow_symlinks=True)
+
+
+def build() -> dict:
+    questions_by_file = load_questions()
+    all_pairs = sorted(
+        {
+            (item["source_type"], item["community"])
+            for rows in questions_by_file.values()
+            for item in rows
+        },
+        key=community_sort_key,
+    )
+
+    community_map = {
+        f"{source_type}/{community}": {
+            "community_id": f"community_{idx}",
+            "source_type": source_type,
+            "source_community": community,
+            "source_env_dir": f"{source_type}_{community}",
+            "data_path": f"data/community_{idx}/full_community",
+        }
+        for idx, (source_type, community) in enumerate(all_pairs)
+    }
+
+    datasets_dir = HF_DIR / "datasets"
+    data_dir = HF_DIR / "data"
+    datasets_dir.mkdir(parents=True, exist_ok=True)
+    data_dir.mkdir(parents=True, exist_ok=True)
+
+    for name, rows in questions_by_file.items():
+        enriched = []
+        for item in rows:
+            key = f"{item['source_type']}/{item['community']}"
+            mapped = community_map[key]
+            enriched.append(
+                {
+                    **item,
+                    "release_community": mapped["community_id"],
+                    "data_path": mapped["data_path"],
+                }
+            )
+        write_json(datasets_dir / name, enriched)
+
+    copied_roots = 0
+    copied_instances = 0
+    copied_dataset_entries = 0
+    missing_env_dirs: list[str] = []
+
+    for community_index, (source_key, mapped) in enumerate(community_map.items(), start=1):
+        env_comm_dir = ENV_DIR / mapped["source_env_dir"]
+        dst_full = HF_DIR / mapped["data_path"]
+        dst_full.mkdir(parents=True, exist_ok=True)
+        copied_entry_names: set[str] = set()
+        print(
+            f"[{community_index}/{len(community_map)}] {source_key} -> {mapped['community_id']}",
+            flush=True,
+        )
+
+        if not env_comm_dir.is_dir():
+            missing_env_dirs.append(str(env_comm_dir))
+            continue
+
+        instance_dirs = sorted(
+            (p for p in env_comm_dir.glob("instance_*") if p.is_dir()),
+            key=lambda p: int(p.name.rsplit("_", 1)[1]),
+        )
+        for instance_dir in instance_dirs:
+            full_dir = instance_dir / "full_community"
+            if not full_dir.is_dir():
+                continue
+            copied_instances += 1
+            for entry in full_dir.iterdir():
+                if entry.name in SKIP_ROOT_FILES:
+                    continue
+                if entry.name in copied_entry_names:
+                    continue
+                if (dst_full / entry.name).exists():
+                    copied_entry_names.add(entry.name)
+                    continue
+                copy_tree_deref(entry, dst_full / entry.name)
+                copied_entry_names.add(entry.name)
+                copied_dataset_entries += 1
+        copied_roots += 1
+
+    manifest = {
+        "name": "huggingface_release_current_benchmark",
+        "source_eval_environment": str(ENV_DIR),
+        "question_files": list(QUESTION_FILES),
+        "num_release_communities": len(community_map),
+        "num_full_questions": len(questions_by_file["codabench.json"]),
+        "num_hard_questions": len(questions_by_file["codabench-hard.json"]),
+        "copied_community_roots": copied_roots,
+        "copied_instance_full_community_dirs": copied_instances,
+        "copied_dataset_entries_before_dedup": copied_dataset_entries,
+        "missing_env_dirs": missing_env_dirs,
+        "community_map": community_map,
+        "copy_policy": "All data files are copied with symlinks dereferenced; root result.txt and task_description.txt are excluded.",
+    }
+    write_json(HF_DIR / "release_manifest.json", manifest)
+
+    readme = """# Hugging Face Benchmark Release
+
+This directory contains the current benchmark release split into question JSON files and copied data files.
+
+- `datasets/codabench.json`: full benchmark questions.
+- `datasets/codabench-hard.json`: hard subset questions.
+- `data/community_*/full_community`: data directories referenced by the JSON `data_path` field.
+- `release_manifest.json`: source-to-release community mapping and copy statistics.
+
+The data copy dereferences the symlinks produced by `stage1_setup`, so the release contains actual file contents rather than symlink placeholders.
+"""
+    (HF_DIR / "README.md").write_text(readme, encoding="utf-8")
+    return manifest
+
+
+if __name__ == "__main__":
+    result = build()
+    print(json.dumps(result, ensure_ascii=False, indent=2))

scripts/extract_archives.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+"""Verify and extract benchmark data archives."""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+import subprocess
+from pathlib import Path
+
+
+HF_DIR = Path(__file__).resolve().parents[1]
+ARCHIVES_MANIFEST = HF_DIR / "archives_manifest.json"
+
+
+def sha256_file(path: Path, chunk_size: int = 1024 * 1024 * 16) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as handle:
+        for chunk in iter(lambda: handle.read(chunk_size), b""):
+            digest.update(chunk)
+    return digest.hexdigest()
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--community",
+        action="append",
+        help="community id to extract, e.g. community_0. Can be repeated. Defaults to all.",
+    )
+    parser.add_argument("--skip-existing", action="store_true")
+    parser.add_argument("--no-verify", action="store_true")
+    args = parser.parse_args()
+
+    manifest = json.loads(ARCHIVES_MANIFEST.read_text(encoding="utf-8"))
+    wanted = set(args.community or [])
+
+    for record in manifest["archives"]:
+        community_id = record["community_id"]
+        if wanted and community_id not in wanted:
+            continue
+
+        archive_path = HF_DIR / record["archive_path"]
+        extract_path = HF_DIR / record["extracts_to"]
+        if args.skip_existing and extract_path.exists():
+            print(f"skip existing {community_id}")
+            continue
+
+        if not args.no_verify:
+            digest = sha256_file(archive_path)
+            if digest != record["sha256"]:
+                raise SystemExit(f"sha256 mismatch for {archive_path}")
+
+        print(f"extract {community_id}")
+        subprocess.run(
+            ["tar", "--use-compress-program", "zstd", "-xf", str(archive_path.relative_to(HF_DIR))],
+            cwd=HF_DIR,
+            check=True,
+        )
+
+
+if __name__ == "__main__":
+    main()

scripts/package_archives.py

@@ -0,0 +1,147 @@
+#!/usr/bin/env python3
+"""Package release data directories into per-community tar.zst archives."""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+import shutil
+import subprocess
+from datetime import datetime, timezone
+from pathlib import Path
+
+
+HF_DIR = Path(__file__).resolve().parents[1]
+DATA_DIR = HF_DIR / "data"
+ARCHIVES_DIR = HF_DIR / "archives"
+ARCHIVES_MANIFEST = HF_DIR / "archives_manifest.json"
+RELEASE_MANIFEST = HF_DIR / "release_manifest.json"
+
+
+def community_key(path: Path) -> int:
+    return int(path.name.rsplit("_", 1)[1])
+
+
+def sha256_file(path: Path, chunk_size: int = 1024 * 1024 * 16) -> str:
+    digest = hashlib.sha256()
+    with path.open("rb") as handle:
+        for chunk in iter(lambda: handle.read(chunk_size), b""):
+            digest.update(chunk)
+    return digest.hexdigest()
+
+
+def load_json(path: Path) -> dict:
+    if not path.exists():
+        return {}
+    return json.loads(path.read_text(encoding="utf-8"))
+
+
+def write_json(path: Path, data: object) -> None:
+    path.write_text(
+        json.dumps(data, ensure_ascii=False, indent=2) + "\n",
+        encoding="utf-8",
+    )
+
+
+def archive_is_current(record: dict | None, archive_path: Path) -> bool:
+    return (
+        bool(record)
+        and archive_path.exists()
+        and record.get("size_bytes") == archive_path.stat().st_size
+        and bool(record.get("sha256"))
+    )
+
+
+def build_archive(community_dir: Path, archive_path: Path, compression_level: int) -> None:
+    archive_path.parent.mkdir(parents=True, exist_ok=True)
+    tmp_path = archive_path.with_suffix(archive_path.suffix + ".tmp")
+    if tmp_path.exists():
+        tmp_path.unlink()
+
+    compressor = f"zstd -T0 -{compression_level}"
+    cmd = [
+        "tar",
+        "--use-compress-program",
+        compressor,
+        "-cf",
+        str(tmp_path.relative_to(HF_DIR)),
+        str(community_dir.relative_to(HF_DIR)),
+    ]
+    subprocess.run(cmd, cwd=HF_DIR, check=True)
+    tmp_path.replace(archive_path)
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--level", type=int, default=6, help="zstd compression level")
+    parser.add_argument("--force", action="store_true", help="rebuild existing archives")
+    args = parser.parse_args()
+
+    if not shutil.which("zstd"):
+        raise SystemExit("zstd is required but was not found on PATH")
+
+    community_dirs = sorted(
+        (path for path in DATA_DIR.glob("community_*") if path.is_dir()),
+        key=community_key,
+    )
+    existing_manifest = load_json(ARCHIVES_MANIFEST)
+    existing_records = {
+        record["community_id"]: record
+        for record in existing_manifest.get("archives", [])
+        if "community_id" in record
+    }
+
+    records = []
+    for index, community_dir in enumerate(community_dirs, start=1):
+        community_id = community_dir.name
+        archive_path = ARCHIVES_DIR / f"{community_id}.tar.zst"
+        existing_record = existing_records.get(community_id)
+
+        print(f"[{index}/{len(community_dirs)}] {community_id}", flush=True)
+        if args.force or not archive_is_current(existing_record, archive_path):
+            build_archive(community_dir, archive_path, args.level)
+
+        size_bytes = archive_path.stat().st_size
+        digest = (
+            existing_record["sha256"]
+            if archive_is_current(existing_record, archive_path)
+            else sha256_file(archive_path)
+        )
+        records.append(
+            {
+                "community_id": community_id,
+                "archive_path": f"archives/{archive_path.name}",
+                "extracts_to": f"data/{community_id}",
+                "size_bytes": size_bytes,
+                "sha256": digest,
+            }
+        )
+
+    manifest = {
+        "created_at": datetime.now(timezone.utc).isoformat(),
+        "compression": {
+            "format": "tar.zst",
+            "zstd_level": args.level,
+            "command_template": "tar --use-compress-program 'zstd -T0 -LEVEL' -cf archives/community_N.tar.zst data/community_N",
+        },
+        "num_archives": len(records),
+        "total_size_bytes": sum(record["size_bytes"] for record in records),
+        "archives": records,
+    }
+    write_json(ARCHIVES_MANIFEST, manifest)
+
+    release_manifest = load_json(RELEASE_MANIFEST)
+    if release_manifest:
+        release_manifest["archives_manifest"] = "archives_manifest.json"
+        release_manifest["archive_policy"] = (
+            "Data is published as one tar.zst archive per release community. "
+            "Each archive extracts to the data_path referenced by the question JSON."
+        )
+        write_json(RELEASE_MANIFEST, release_manifest)
+
+    print(json.dumps(manifest, ensure_ascii=False, indent=2), flush=True)
+
+
+if __name__ == "__main__":
+    main()