[Benchmark Backfill] Integrate OSWorld-Verified parity into lmms-eval

[Luodian]

Summary

• Align osworld_g scoring with OSWorld-Verified annotation format: box_type=polygon entries in MMInstruction/OSWorld-G are 4-value xyxy, so they are now evaluated as rectangles for click-in-region correctness.
• Preserve ray-casting polygon handling for true polygons while safely rejecting malformed odd-length coordinate arrays.
• Add OSWorld-Verified mapping in docs/current_tasks.md under Spatial & Grounding -> Referring Expression Comprehension.

Validation

• uv run pre-commit run --files lmms_eval/tasks/osworld_g/utils.py docs/current_tasks.md
• uv run python -c "from datasets import load_dataset; from lmms_eval.tasks.osworld_g.utils import osworld_g_process_results; ds=load_dataset('MMInstruction/OSWorld-G', split='test'); poly=next(d for d in ds if d['box_type']=='polygon'); x1,y1,x2,y2=poly['mimo_bbox']; pred=f'[{(x1+x2)/2:.2f}, {(y1+y2)/2:.2f}]'; print(osworld_g_process_results(poly,[pred])['osworld_g_polygon_acc']['correct'])" -> True
• uv run python -m lmms_eval --tasks list -> includes osworld_g
• OPENAI_API_KEY="$OPENROUTER_API_KEY" OPENAI_API_BASE="https://openrouter.ai/api/v1" uv run python -m lmms_eval --model openai_compatible --model_args "model_version=bytedance-seed/seed-1.6-flash" --tasks osworld_g --batch_size 1 --limit 1 --output_path ./logs/lmm_298_osworld_smoke --log_samples --verbosity INFO -> completed and wrote outputs under logs/lmm_298_osworld_smoke/...
• lsp_diagnostics clean for lmms_eval/tasks/osworld_g/utils.py

Smoke Validation (limit=8)

Status: PASS (LMM-298 / osworld_g)

Output Table

Metric	Value
osworld_g_acc	0.0
osworld_g_bbox_acc	0.0
osworld_g_polygon_acc	0.0
osworld_g_refusal_acc	0.0

Sample Output

Sample 1 (doc_id: 0)

• Input: Identify the UI target for the instruction and output exactly one click point as [x, y]. You may use either normalized coordinates in [0, 1] or absolute pixel coordinates. If the target does not exist, output [-1, -1]. ↵ Instruction: Open the filter function for search settings.
• Model Output: [678, 322]
• Reference: Open the filter function for search settings.
• Scores: N/A
• Tokens: output=1579, reasoning=1569

Sample 2 (doc_id: 1)

• Input: Identify the UI target for the instruction and output exactly one click point as [x, y]. You may use either normalized coordinates in [0, 1] or absolute pixel coordinates. If the target does not exist, output [-1, -1]. ↵ Instruction: Unfold the drop-down bar of Auto Save settings.
• Model Output: [603 485]
• Reference: Unfold the drop-down bar of Auto Save settings.
• Scores: N/A
• Tokens: output=1259, reasoning=1250

Test Params

uv run python -m lmms_eval --model openai_compatible --model_args "model_version=bytedance-seed/seed-1.6-flash" --tasks osworld_g --batch_size 1 --limit 8 --log_samples