Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code:   InfoError
Exception:    ConnectionError
Message:      Couldn't reach 'yuri1996/round_14_v2.2.3' on the Hub (LocalEntryNotFoundError)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                            ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1132, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 953, in dataset_module_factory
                  raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e
              ConnectionError: Couldn't reach 'yuri1996/round_14_v2.2.3' on the Hub (LocalEntryNotFoundError)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Benchmark Results: v2.2.3

Overview

  • Round: 14
  • Test Name: v2.2.3
  • Timestamp: 2026-01-15 12:52:13

Summary

Metric Value
Total Tasks 128
Total Judged 128
Skipped 0
Gen Failed 0
Render Failed 0
Judge Failed 0

Results

Result Count
🏆 WINS 5
🤝 DRAWS 115
❌ LOSSES 8

Performance

Metric Value
Win Rate 3.9%
Margin -2.3%
Avg Gen Time 0.00s

Methodology

  • Judge Model: thudm/glm-4.1v-9b-thinking (via OpenRouter)
  • Position-Balanced: 2 passes with swapped order to avoid position bias
  • Penalty Scale: 0 (perfect) to 10 (completely wrong)
  • Winner: Lower average penalty wins (draw if difference ≤ 1)

Files

  • benchmark_v2.2.3.json - Full benchmark results
  • */ours.png - Our rendered 3D models
  • */leader.png - Leader's rendered 3D models
  • */origin.png - Original prompt images
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