Upload leaderboard results from eval-results\leaderboard

leaderboard/bench-20251107T091423.tsv

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+Model	VSi	Site-Image	Site-Video	MMSI	Mindcube-tiny	Blink	CV-3D	3DSR	ViewSpatial	CV-2D	Emb
+Internvl3_2b	32.98	50.53	30.03	26.5	37.5	50.76	72.0	51.06	32.56	70.18	60.11
+Qwen2.5_3b	27.0	52.73	33.14	28.6	37.6	48.66	65.25	50.44	31.97	65.09	62.28
+Qwen3_2b	50.36	54.51	35.66	28.9	34.52	53.18	88.0	52.56	36.97	70.03	70.11
+Qwen3_4b	55.43	61.42	45.43	29.9	23.85	64.02	92.0	56.08	39.37	71.62	78.71
+Mindcube raw qa	17.24	33.76	6.31	1.7	51.73	35.09	28.42	33.78	24.14	49.44	36.98
+MIndcube aug cg map	29.6	49.26	28.23	29.1	41.06	42.87	64.17	37.58	30.9	57.35	56.73
+Mindcube plain cg map	29.93	49.62	28.74	30.4	39.9	39.61	62.25	49.43	31.2	44.16	55.99
+spatial ladder-3B	44.86	49.07	27.96	27.4	43.46	42.97	69.25	48.4	39.85	65.88	58.24
+SpatialMLLM-4B	45.98	36.45	10.11	26.1	33.46	29.93	59.92	45.52	34.66		
+bagel									41.32		
+Qwen2.5_7b	32.3	55.91	37.64	26.8	36.05	55.87	74.0	53.29	36.85	70.55	71.84
+spaceR-7B	36.29	53.53	34.27	27.4	37.98	49.61	70.92	49.58	35.85		66.92
+ViLaSR-7B	44.63	56.69	38.74	30.2	35.1	51.39	35.08	50.6	35.71	50.91	67.31
+Qwen3_8b	57.9	61.7	45.83	31.1	29.42	66.7	93.17	56.69	42.2	73.24	77.72
+InternVl3_8b	42.14	58.39	41.15	28.0	41.54	53.45	82.08	55.19	38.66	79.71	76.35

leaderboard/bench/bagel-20251107T091423.json

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+{
+  "config": {
+    "model_name": "bagel"
+  },
+  "results": {
+    "viewspatial": {
+      "acc": 41.32
+    }
+  }
+}

leaderboard/bench/internvl3_2b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "Internvl3_2b"
+  },
+  "results": {
+    "vsi": {
+      "acc": 32.98
+    },
+    "site_image": {
+      "acc": 50.53
+    },
+    "site_video": {
+      "acc": 30.03
+    },
+    "mmsi": {
+      "acc": 26.5
+    },
+    "mindcube_tiny": {
+      "acc": 37.5
+    },
+    "blink": {
+      "acc": 50.76
+    },
+    "cv_3d": {
+      "acc": 72.0
+    },
+    "3dsr": {
+      "acc": 51.06
+    },
+    "viewspatial": {
+      "acc": 32.56
+    },
+    "cv_2d": {
+      "acc": 70.18
+    },
+    "emb": {
+      "acc": 60.11
+    }
+  }
+}

leaderboard/bench/internvl3_8b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "InternVl3_8b"
+  },
+  "results": {
+    "vsi": {
+      "acc": 42.14
+    },
+    "site_image": {
+      "acc": 58.39
+    },
+    "site_video": {
+      "acc": 41.15
+    },
+    "mmsi": {
+      "acc": 28.0
+    },
+    "mindcube_tiny": {
+      "acc": 41.54
+    },
+    "blink": {
+      "acc": 53.45
+    },
+    "cv_3d": {
+      "acc": 82.08
+    },
+    "3dsr": {
+      "acc": 55.19
+    },
+    "viewspatial": {
+      "acc": 38.66
+    },
+    "cv_2d": {
+      "acc": 79.71
+    },
+    "emb": {
+      "acc": 76.35
+    }
+  }
+}

leaderboard/bench/mindcube_aug_cg_map-20251107T091423.json

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+{
+  "config": {
+    "model_name": "MIndcube aug cg map"
+  },
+  "results": {
+    "vsi": {
+      "acc": 29.6
+    },
+    "site_image": {
+      "acc": 49.26
+    },
+    "site_video": {
+      "acc": 28.23
+    },
+    "mmsi": {
+      "acc": 29.1
+    },
+    "mindcube_tiny": {
+      "acc": 41.06
+    },
+    "blink": {
+      "acc": 42.87
+    },
+    "cv_3d": {
+      "acc": 64.17
+    },
+    "3dsr": {
+      "acc": 37.58
+    },
+    "viewspatial": {
+      "acc": 30.9
+    },
+    "cv_2d": {
+      "acc": 57.35
+    },
+    "emb": {
+      "acc": 56.73
+    }
+  }
+}

leaderboard/bench/mindcube_plain_cg_map-20251107T091423.json

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+{
+  "config": {
+    "model_name": "Mindcube plain cg map"
+  },
+  "results": {
+    "vsi": {
+      "acc": 29.93
+    },
+    "site_image": {
+      "acc": 49.62
+    },
+    "site_video": {
+      "acc": 28.74
+    },
+    "mmsi": {
+      "acc": 30.4
+    },
+    "mindcube_tiny": {
+      "acc": 39.9
+    },
+    "blink": {
+      "acc": 39.61
+    },
+    "cv_3d": {
+      "acc": 62.25
+    },
+    "3dsr": {
+      "acc": 49.43
+    },
+    "viewspatial": {
+      "acc": 31.2
+    },
+    "cv_2d": {
+      "acc": 44.16
+    },
+    "emb": {
+      "acc": 55.99
+    }
+  }
+}

leaderboard/bench/mindcube_raw_qa-20251107T091423.json

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+{
+  "config": {
+    "model_name": "Mindcube raw qa"
+  },
+  "results": {
+    "vsi": {
+      "acc": 17.24
+    },
+    "site_image": {
+      "acc": 33.76
+    },
+    "site_video": {
+      "acc": 6.31
+    },
+    "mmsi": {
+      "acc": 1.7
+    },
+    "mindcube_tiny": {
+      "acc": 51.73
+    },
+    "blink": {
+      "acc": 35.09
+    },
+    "cv_3d": {
+      "acc": 28.42
+    },
+    "3dsr": {
+      "acc": 33.78
+    },
+    "viewspatial": {
+      "acc": 24.14
+    },
+    "cv_2d": {
+      "acc": 49.44
+    },
+    "emb": {
+      "acc": 36.98
+    }
+  }
+}

leaderboard/bench/qwen2.5_3b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "Qwen2.5_3b"
+  },
+  "results": {
+    "vsi": {
+      "acc": 27.0
+    },
+    "site_image": {
+      "acc": 52.73
+    },
+    "site_video": {
+      "acc": 33.14
+    },
+    "mmsi": {
+      "acc": 28.6
+    },
+    "mindcube_tiny": {
+      "acc": 37.6
+    },
+    "blink": {
+      "acc": 48.66
+    },
+    "cv_3d": {
+      "acc": 65.25
+    },
+    "3dsr": {
+      "acc": 50.44
+    },
+    "viewspatial": {
+      "acc": 31.97
+    },
+    "cv_2d": {
+      "acc": 65.09
+    },
+    "emb": {
+      "acc": 62.28
+    }
+  }
+}

leaderboard/bench/qwen2.5_7b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "Qwen2.5_7b"
+  },
+  "results": {
+    "vsi": {
+      "acc": 32.3
+    },
+    "site_image": {
+      "acc": 55.91
+    },
+    "site_video": {
+      "acc": 37.64
+    },
+    "mmsi": {
+      "acc": 26.8
+    },
+    "mindcube_tiny": {
+      "acc": 36.05
+    },
+    "blink": {
+      "acc": 55.87
+    },
+    "cv_3d": {
+      "acc": 74.0
+    },
+    "3dsr": {
+      "acc": 53.29
+    },
+    "viewspatial": {
+      "acc": 36.85
+    },
+    "cv_2d": {
+      "acc": 70.55
+    },
+    "emb": {
+      "acc": 71.84
+    }
+  }
+}

leaderboard/bench/qwen3_2b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "Qwen3_2b"
+  },
+  "results": {
+    "vsi": {
+      "acc": 50.36
+    },
+    "site_image": {
+      "acc": 54.51
+    },
+    "site_video": {
+      "acc": 35.66
+    },
+    "mmsi": {
+      "acc": 28.9
+    },
+    "mindcube_tiny": {
+      "acc": 34.52
+    },
+    "blink": {
+      "acc": 53.18
+    },
+    "cv_3d": {
+      "acc": 88.0
+    },
+    "3dsr": {
+      "acc": 52.56
+    },
+    "viewspatial": {
+      "acc": 36.97
+    },
+    "cv_2d": {
+      "acc": 70.03
+    },
+    "emb": {
+      "acc": 70.11
+    }
+  }
+}

leaderboard/bench/qwen3_4b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "Qwen3_4b"
+  },
+  "results": {
+    "vsi": {
+      "acc": 55.43
+    },
+    "site_image": {
+      "acc": 61.42
+    },
+    "site_video": {
+      "acc": 45.43
+    },
+    "mmsi": {
+      "acc": 29.9
+    },
+    "mindcube_tiny": {
+      "acc": 23.85
+    },
+    "blink": {
+      "acc": 64.02
+    },
+    "cv_3d": {
+      "acc": 92.0
+    },
+    "3dsr": {
+      "acc": 56.08
+    },
+    "viewspatial": {
+      "acc": 39.37
+    },
+    "cv_2d": {
+      "acc": 71.62
+    },
+    "emb": {
+      "acc": 78.71
+    }
+  }
+}

leaderboard/bench/qwen3_8b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "Qwen3_8b"
+  },
+  "results": {
+    "vsi": {
+      "acc": 57.9
+    },
+    "site_image": {
+      "acc": 61.7
+    },
+    "site_video": {
+      "acc": 45.83
+    },
+    "mmsi": {
+      "acc": 31.1
+    },
+    "mindcube_tiny": {
+      "acc": 29.42
+    },
+    "blink": {
+      "acc": 66.7
+    },
+    "cv_3d": {
+      "acc": 93.17
+    },
+    "3dsr": {
+      "acc": 56.69
+    },
+    "viewspatial": {
+      "acc": 42.2
+    },
+    "cv_2d": {
+      "acc": 73.24
+    },
+    "emb": {
+      "acc": 77.72
+    }
+  }
+}

leaderboard/bench/spacer_7b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "spaceR-7B"
+  },
+  "results": {
+    "vsi": {
+      "acc": 36.29
+    },
+    "site_image": {
+      "acc": 53.53
+    },
+    "site_video": {
+      "acc": 34.27
+    },
+    "mmsi": {
+      "acc": 27.4
+    },
+    "mindcube_tiny": {
+      "acc": 37.98
+    },
+    "blink": {
+      "acc": 49.61
+    },
+    "cv_3d": {
+      "acc": 70.92
+    },
+    "3dsr": {
+      "acc": 49.58
+    },
+    "viewspatial": {
+      "acc": 35.85
+    },
+    "emb": {
+      "acc": 66.92
+    }
+  }
+}

leaderboard/bench/spatial_ladder_3b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "spatial ladder-3B"
+  },
+  "results": {
+    "vsi": {
+      "acc": 44.86
+    },
+    "site_image": {
+      "acc": 49.07
+    },
+    "site_video": {
+      "acc": 27.96
+    },
+    "mmsi": {
+      "acc": 27.4
+    },
+    "mindcube_tiny": {
+      "acc": 43.46
+    },
+    "blink": {
+      "acc": 42.97
+    },
+    "cv_3d": {
+      "acc": 69.25
+    },
+    "3dsr": {
+      "acc": 48.4
+    },
+    "viewspatial": {
+      "acc": 39.85
+    },
+    "cv_2d": {
+      "acc": 65.88
+    },
+    "emb": {
+      "acc": 58.24
+    }
+  }
+}

leaderboard/bench/spatialmllm_4b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "SpatialMLLM-4B"
+  },
+  "results": {
+    "vsi": {
+      "acc": 45.98
+    },
+    "site_image": {
+      "acc": 36.45
+    },
+    "site_video": {
+      "acc": 10.11
+    },
+    "mmsi": {
+      "acc": 26.1
+    },
+    "mindcube_tiny": {
+      "acc": 33.46
+    },
+    "blink": {
+      "acc": 29.93
+    },
+    "cv_3d": {
+      "acc": 59.92
+    },
+    "3dsr": {
+      "acc": 45.52
+    },
+    "viewspatial": {
+      "acc": 34.66
+    }
+  }
+}

leaderboard/bench/vilasr_7b-20251107T091423.json

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+{
+  "config": {
+    "model_name": "ViLaSR-7B"
+  },
+  "results": {
+    "vsi": {
+      "acc": 44.63
+    },
+    "site_image": {
+      "acc": 56.69
+    },
+    "site_video": {
+      "acc": 38.74
+    },
+    "mmsi": {
+      "acc": 30.2
+    },
+    "mindcube_tiny": {
+      "acc": 35.1
+    },
+    "blink": {
+      "acc": 51.39
+    },
+    "cv_3d": {
+      "acc": 35.08
+    },
+    "3dsr": {
+      "acc": 50.6
+    },
+    "viewspatial": {
+      "acc": 35.71
+    },
+    "cv_2d": {
+      "acc": 50.91
+    },
+    "emb": {
+      "acc": 67.31
+    }
+  }
+}

leaderboard/convert_tsv.py

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+# /// script
+# dependencies = [
+#     "rich",
+#     "polars[pyarrow,pandas]",
+#     "tabulate",
+#     "tqdm",
+# ]
+# ///
+"""
+Read tsv bench results and convert to JSON files.
+
+Usage:
+
+```bash
+uv run convert_tsv.py
+```
+"""
+
+import json
+import os
+from pathlib import Path
+
+import polars as pl
+from tomllib import load
+from tqdm import tqdm
+
+ROOT_DIR = Path(__file__).parent
+
+# df = pd.read_csv("bench.csv")
+# df.to_csv("bench.tsv", sep="\t", index=False)
+
+with open("meta.toml", "rb") as f:
+    META = load(f)
+
+MODEL_NAME_TO_KEY = {model["title"]: model["key"] for model in META["models"]}
+BENCH_NAME_TO_KEY = {
+    benchmark["title"]: benchmark["key"] for benchmark in META["benchmarks"]
+}
+
+
+def tsv_files():
+    return [p for p in ROOT_DIR.glob("bench*.tsv") if p.is_file()]
+
+
+def process_tsv(tsv_file: Path):
+    timestamp = tsv_file.stem.replace("bench-", "")
+
+    df = pl.read_csv(tsv_file, separator="\t")
+
+    for row in df.iter_rows(named=True):
+        model_name = row.pop("Model")
+        model_key = MODEL_NAME_TO_KEY[model_name]
+        data = build_json_content(model_name, row)
+
+        # dump data to json file
+        os.makedirs("bench", exist_ok=True)
+        filename = f"{model_key}-{timestamp}.json"
+        with open(f"bench/{filename}", "w") as f:
+            json.dump(data, f, indent=2, ensure_ascii=False)
+
+
+def build_json_content(model_name: str, row_data: dict) -> dict:
+    config = {
+        "model_name": model_name,
+    }
+    results = {
+        BENCH_NAME_TO_KEY[k]: {"acc": v} for k, v in row_data.items() if v is not None
+    }
+    return {
+        "config": config,
+        "results": results,
+    }
+
+
+def main():
+    for tsv_file in tqdm(tsv_files(), desc="Processing TSV files"):
+        process_tsv(tsv_file)
+
+
+if __name__ == "__main__":
+    main()

leaderboard/meta.toml

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+benchmarks = [
+  { key = "vsi", title = "VSi" },
+  { key = "site_image", title = "Site-Image" },
+  { key = "site_video", title = "Site-Video" },
+  { key = "mmsi", title = "MMSI" },
+  { key = "mindcube_tiny", title = "Mindcube-tiny" },
+  { key = "viewspatial", title = "ViewSpatial" },
+  { key = "blink", title = "Blink" },
+  { key = "cv_3d", title = "CV-3D" },
+  { key = "3dsr", title = "3DSR" },
+  { key = "cv_2d", title = "CV-2D" },
+  { key = "emb", title = "Emb" },
+]
+
+models = [
+  { key = "internvl3_2b", title = "Internvl3_2b", repo_id = "OpenGVLab/InternVL3_5-2B" },
+  { key = "qwen2.5_3b", title = "Qwen2.5_3b", repo_id = "Qwen/Qwen2.5-3B" },
+  { key = "qwen3_2b", title = "Qwen3_2b" },
+  { key = "qwen3_4b", title = "Qwen3_4b" },
+  { key = "mindcube_raw_qa", title = "Mindcube raw qa" },
+  { key = "mindcube_aug_cg_map", title = "MIndcube aug cg map" },
+  { key = "mindcube_plain_cg_map", title = "Mindcube plain cg map" },
+  { key = "spatial_ladder_3b", title = "spatial ladder-3B" },
+  { key = "spatialmllm_4b", title = "SpatialMLLM-4B" },
+  { key = "bagel", title = "bagel" },
+  { key = "qwen2.5_7b", title = "Qwen2.5_7b" },
+  { key = "spacer_7b", title = "spaceR-7B" },
+  { key = "vilasr_7b", title = "ViLaSR-7B" },
+  { key = "qwen3_8b", title = "Qwen3_8b" },
+  { key = "internvl3_8b", title = "InternVl3_8b" },
+]
+
+model_repos = [
+  { key = "internvl3_2b", repo_id = "OpenGVLab/InternVL3_5-2B" },
+  { key = "qwen2.5_3b", repo_id = "Qwen/Qwen2.5-3B" },
+  { key = "qwen3_2b" },
+  { key = "qwen3_4b", repo_id = "Qwen/Qwen3-4B" },
+  { key = "mindcube_raw_qa" },
+  { key = "mindcube_aug_cg_map" },
+  { key = "mindcube_plain_cg_map" },
+  { key = "spatial_ladder_3b", repo_id = "hongxingli/SpatialLadder-3B" },
+  { key = "spatialmllm_4b" },
+  { key = "bagel" },
+  { key = "qwen2.5_7b", repo_id = "Qwen/Qwen2.5-7B" },
+  { key = "spacer_7b" },
+  { key = "vilasr_7b" },
+  { key = "qwen3_8b", repo_id = "Qwen/Qwen3-8B" },
+  { key = "internvl3_8b", repo_id = "OpenGVLab/InternVL3-8B" },
+]