cleanup: remove unused benchmarks, deep_probe, meta_reflect

Remove sealqa, babyvision, mathverse, mmrb, swebench envs and configs.
Remove deep_probe, deep_reflect, meta_reflect modules and prompts.
Remove download_babyvision script.
These are not part of the core released benchmarks.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

scripts/download_babyvision.py

@@ -1,53 +0,0 @@
-#!/usr/bin/env python3
-"""Download BabyVision from Hugging Face and convert it to local meta_data.jsonl + images/ format."""
-from __future__ import annotations
-
-import argparse
-import json
-import os
-from pathlib import Path
-
-
-def parse_args() -> argparse.Namespace:
-    p = argparse.ArgumentParser(description=__doc__)
-    p.add_argument("--out_dir", type=str, required=True)
-    p.add_argument("--dataset", type=str, default="UnipatAI/BabyVision")
-    p.add_argument("--split", type=str, default="train")
-    return p.parse_args()
-
-
-def main() -> None:
-    args = parse_args()
-
-    try:
-        from datasets import load_dataset
-    except ImportError as exc:  # pragma: no cover
-        raise SystemExit("Please install `datasets` first: pip install datasets pillow") from exc
-
-    out_dir = Path(args.out_dir).resolve()
-    images_dir = out_dir / "images"
-    meta_path = out_dir / "meta_data.jsonl"
-    images_dir.mkdir(parents=True, exist_ok=True)
-
-    dataset = load_dataset(args.dataset, split=args.split)
-    with open(meta_path, "w", encoding="utf-8") as outf:
-        for idx, row in enumerate(dataset):
-            image = row.get("image")
-            if image is None:
-                continue
-            task_id = str(row.get("taskId") or row.get("id") or idx + 1)
-            image_name = f"{task_id}.png"
-            image_path = images_dir / image_name
-            image.save(image_path)
-
-            record = dict(row)
-            record["image"] = image_name
-            outf.write(json.dumps(record, ensure_ascii=False) + "\n")
-
-    print(f"Saved BabyVision to {out_dir}")
-    print(f"Metadata: {meta_path}")
-    print(f"Images:   {images_dir}")
-
-
-if __name__ == "__main__":
-    main()