standings sync 2026-06-24T05:24:59Z

README.md

@@ -9,11 +9,11 @@ pretty_name: BenchHub leaderboard standings (mirror)
 
 # BenchHub leaderboard standings — read-only mirror
 
-Auto-generated aggregate standings for 99 public BenchHub leaderboard(s).
+Auto-generated aggregate standings for 101 public BenchHub leaderboard(s).
 
 **Source of truth: <https://runbenchhub.com>.** Submissions happen on BenchHub; this dataset is a derived, read-only mirror of public leaderboard *standings* (already-pooled scores + display metadata). It contains **no** ground-truth samples, **no** predictions, and **no** private data.
 
-Last synced: 2026-06-24T01:02:38Z
+Last synced: 2026-06-24T05:24:59Z
 
 - `index.json` — catalog of mirrored leaderboards.
 - `leaderboards/<id>.json` — per-leaderboard ranked standings.

_manifest.json

@@ -1,6 +1,6 @@
 {
   "schema_version": 1,
-  "generated_at": "2026-06-24T01:02:38Z",
+  "generated_at": "2026-06-24T05:24:59Z",
   "leaderboards": {
     "1": "34377942c5e6de4b156415accafca9e5bc89ff31c554f783928511cf2fde9b5d",
     "2": "0a6dd5c7f71f472637460dc3366f0489181322637fe5b8c2639d0f9bb2f54fcb",
@@ -100,6 +100,8 @@
     "121": "4e7f5c01f17186c59d6ff375049d268539ccdc888bd5dc7322a065bc258531b1",
     "122": "25b84d647617fe10642d4efde122cd4b9dce6c857468dda433dace7776b23fde",
     "123": "0254762aba94e432ba8cd0aeb145ffaaeb89a2260a50f3cd205a09cd19f25896",
-    "124": "094ce0a6a748f1cf630e06b9acffb1f3d69b9ca66873964787caed58350d4646"
+    "124": "094ce0a6a748f1cf630e06b9acffb1f3d69b9ca66873964787caed58350d4646",
+    "125": "c30565936b087e8d389679d218a4a24b1fc31e7108bac57940544091318272f9",
+    "126": "2091f0c6287c4e54323d80cf8de3780aa0e22f30f12fb7d92498d83c612c2516"
   }
 }

aggregates.json

@@ -1,5 +1,5 @@
 {
-  "generated_at": "2026-06-24T01:02:38Z",
+  "generated_at": "2026-06-24T05:24:59Z",
   "scopes": [
     {
       "scope": "Vision/Image Classification",
@@ -1149,220 +1149,19 @@
         }
       ]
     },
-    {
-      "scope": "Vision/Optical Flow",
-      "level": "subcategory",
-      "n_boards": 5,
-      "boards": [
-        "MPI-Sintel-clean-flow_benchmark",
-        "MPI-Sintel-final-flow_benchmark",
-        "KITTI-2015-flow_benchmark",
-        "KITTI-2012-flow_benchmark",
-        "Middlebury-flow_benchmark"
-      ],
-      "n_models": 7,
-      "models": [
-        {
-          "model": "FlowFormer",
-          "link": "https://github.com/hmorimitsu/ptlflow",
-          "score": 1.0,
-          "coverage": 3,
-          "per_board": {
-            "MPI-Sintel-clean-flow_benchmark": {
-              "lb_id": 110,
-              "norm": 1.0
-            },
-            "MPI-Sintel-final-flow_benchmark": {
-              "lb_id": 111,
-              "norm": 1.0
-            },
-            "KITTI-2012-flow_benchmark": {
-              "lb_id": 113,
-              "norm": 1.0
-            }
-          }
-        },
-        {
-          "model": "GMA",
-          "link": "https://github.com/hmorimitsu/ptlflow",
-          "score": 0.9403,
-          "coverage": 5,
-          "per_board": {
-            "MPI-Sintel-clean-flow_benchmark": {
-              "lb_id": 110,
-              "norm": 0.8831801504829518
-            },
-            "MPI-Sintel-final-flow_benchmark": {
-              "lb_id": 111,
-              "norm": 0.9387585495180901
-            },
-            "KITTI-2015-flow_benchmark": {
-              "lb_id": 112,
-              "norm": 0.9695380291663356
-            },
-            "KITTI-2012-flow_benchmark": {
-              "lb_id": 113,
-              "norm": 0.9099126434606142
-            },
-            "Middlebury-flow_benchmark": {
-              "lb_id": 114,
-              "norm": 1.0
-            }
-          }
-        },
-        {
-          "model": "RAFT-large",
-          "link": "https://pytorch.org/vision/stable/models/raft.html",
-          "score": 0.9321,
-          "coverage": 5,
-          "per_board": {
-            "MPI-Sintel-clean-flow_benchmark": {
-              "lb_id": 110,
-              "norm": 0.733598264661722
-            },
-            "MPI-Sintel-final-flow_benchmark": {
-              "lb_id": 111,
-              "norm": 0.9845356862466544
-            },
-            "KITTI-2015-flow_benchmark": {
-              "lb_id": 112,
-              "norm": 1.0
-            },
-            "KITTI-2012-flow_benchmark": {
-              "lb_id": 113,
-              "norm": 0.9433444186864265
-            },
-            "Middlebury-flow_benchmark": {
-              "lb_id": 114,
-              "norm": 0.9989249587058627
-            }
-          }
-        },
-        {
-          "model": "RAFT-small",
-          "link": "https://pytorch.org/vision/stable/models/raft.html",
-          "score": 0.5158,
-          "coverage": 5,
-          "per_board": {
-            "MPI-Sintel-clean-flow_benchmark": {
-              "lb_id": 110,
-              "norm": 0.3660566414590205
-            },
-            "MPI-Sintel-final-flow_benchmark": {
-              "lb_id": 111,
-              "norm": 0.7603607546129632
-            },
-            "KITTI-2015-flow_benchmark": {
-              "lb_id": 112,
-              "norm": 0.4865400004759567
-            },
-            "KITTI-2012-flow_benchmark": {
-              "lb_id": 113,
-              "norm": 0.5926950938737646
-            },
-            "Middlebury-flow_benchmark": {
-              "lb_id": 114,
-              "norm": 0.37351904302278593
-            }
-          }
-        },
-        {
-          "model": "GMFlow",
-          "link": "https://github.com/hmorimitsu/ptlflow",
-          "score": 0.2203,
-          "coverage": 5,
-          "per_board": {
-            "MPI-Sintel-clean-flow_benchmark": {
-              "lb_id": 110,
-              "norm": 0.4974881107223552
-            },
-            "MPI-Sintel-final-flow_benchmark": {
-              "lb_id": 111,
-              "norm": 0.28462891850783056
-            },
-            "KITTI-2015-flow_benchmark": {
-              "lb_id": 112,
-              "norm": 0.0
-            },
-            "KITTI-2012-flow_benchmark": {
-              "lb_id": 113,
-              "norm": 0.0
-            },
-            "Middlebury-flow_benchmark": {
-              "lb_id": 114,
-              "norm": 0.3192730921362036
-            }
-          }
-        },
-        {
-          "model": "PWC-Net",
-          "link": "https://github.com/hmorimitsu/ptlflow",
-          "score": 0.1157,
-          "coverage": 5,
-          "per_board": {
-            "MPI-Sintel-clean-flow_benchmark": {
-              "lb_id": 110,
-              "norm": 0.2352358989938106
-            },
-            "MPI-Sintel-final-flow_benchmark": {
-              "lb_id": 111,
-              "norm": 0.0
-            },
-            "KITTI-2015-flow_benchmark": {
-              "lb_id": 112,
-              "norm": 0.03800238667034228
-            },
-            "KITTI-2012-flow_benchmark": {
-              "lb_id": 113,
-              "norm": 0.3051801530401207
-            },
-            "Middlebury-flow_benchmark": {
-              "lb_id": 114,
-              "norm": 0.0
-            }
-          }
-        },
-        {
-          "model": "FastFlowNet",
-          "link": "https://github.com/hmorimitsu/ptlflow",
-          "score": 0.0933,
-          "coverage": 5,
-          "per_board": {
-            "MPI-Sintel-clean-flow_benchmark": {
-              "lb_id": 110,
-              "norm": 0.0
-            },
-            "MPI-Sintel-final-flow_benchmark": {
-              "lb_id": 111,
-              "norm": 0.08033231693206166
-            },
-            "KITTI-2015-flow_benchmark": {
-              "lb_id": 112,
-              "norm": 0.032016291066676916
-            },
-            "KITTI-2012-flow_benchmark": {
-              "lb_id": 113,
-              "norm": 0.2688537243558956
-            },
-            "Middlebury-flow_benchmark": {
-              "lb_id": 114,
-              "norm": 0.08546261074977646
-            }
-          }
-        }
-      ]
-    },
     {
       "scope": "NLP/Reasoning & Knowledge",
       "level": "subcategory",
-      "n_boards": 4,
+      "n_boards": 6,
       "boards": [
         "GSM8K-test_benchmark",
         "MMLU-test_benchmark",
         "HellaSwag-validation_benchmark",
-        "ARC-Challenge-test_benchmark"
+        "ARC-Challenge-test_benchmark",
+        "ARC-Easy-test_benchmark",
+        "OpenBookQA-test_benchmark"
       ],
-      "n_models": 13,
+      "n_models": 10,
       "models": [
         {
           "model": "Qwen/Qwen2.5-7B-Instruct",
@@ -1388,43 +1187,11 @@
             }
           }
         },
-        {
-          "model": "google/gemma-2-9b-it",
-          "link": "https://huggingface.co/google/gemma-2-9b-it",
-          "score": 0.9792,
-          "coverage": 2,
-          "per_board": {
-            "HellaSwag-validation_benchmark": {
-              "lb_id": 123,
-              "norm": 0.9673449294387924
-            },
-            "ARC-Challenge-test_benchmark": {
-              "lb_id": 124,
-              "norm": 0.9910554561717353
-            }
-          }
-        },
-        {
-          "model": "microsoft/Phi-3.5-mini-instruct",
-          "link": "https://huggingface.co/microsoft/Phi-3.5-mini-instruct",
-          "score": 0.8518,
-          "coverage": 2,
-          "per_board": {
-            "GSM8K-test_benchmark": {
-              "lb_id": 121,
-              "norm": 0.8109919571045575
-            },
-            "MMLU-test_benchmark": {
-              "lb_id": 122,
-              "norm": 0.8926620755165046
-            }
-          }
-        },
         {
           "model": "Qwen/Qwen2.5-3B-Instruct",
           "link": "https://huggingface.co/Qwen/Qwen2.5-3B-Instruct",
-          "score": 0.8091,
-          "coverage": 4,
+          "score": 0.8727,
+          "coverage": 6,
           "per_board": {
             "GSM8K-test_benchmark": {
               "lb_id": 121,
@@ -1441,6 +1208,14 @@
             "ARC-Challenge-test_benchmark": {
               "lb_id": 124,
               "norm": 0.8336314847942753
+            },
+            "ARC-Easy-test_benchmark": {
+              "lb_id": 125,
+              "norm": 1.0
+            },
+            "OpenBookQA-test_benchmark": {
+              "lb_id": 126,
+              "norm": 1.0
             }
           }
         },
@@ -1467,8 +1242,8 @@
         {
           "model": "Qwen/Qwen2.5-1.5B-Instruct",
           "link": "https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct",
-          "score": 0.6101,
-          "coverage": 4,
+          "score": 0.7144,
+          "coverage": 6,
           "per_board": {
             "GSM8K-test_benchmark": {
               "lb_id": 121,
@@ -1485,14 +1260,22 @@
             "ARC-Challenge-test_benchmark": {
               "lb_id": 124,
               "norm": 0.7119856887298747
+            },
+            "ARC-Easy-test_benchmark": {
+              "lb_id": 125,
+              "norm": 0.9083333333333332
+            },
+            "OpenBookQA-test_benchmark": {
+              "lb_id": 126,
+              "norm": 0.937888198757764
             }
           }
         },
         {
           "model": "meta-llama/Llama-3.2-3B-Instruct",
           "link": "https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct",
-          "score": 0.5752,
-          "coverage": 4,
+          "score": 0.6763,
+          "coverage": 6,
           "per_board": {
             "GSM8K-test_benchmark": {
               "lb_id": 121,
@@ -1509,6 +1292,14 @@
             "ARC-Challenge-test_benchmark": {
               "lb_id": 124,
               "norm": 0.6279069767441859
+            },
+            "ARC-Easy-test_benchmark": {
+              "lb_id": 125,
+              "norm": 0.8624999999999997
+            },
+            "OpenBookQA-test_benchmark": {
+              "lb_id": 126,
+              "norm": 0.8944099378881987
             }
           }
         },
@@ -1583,8 +1374,8 @@
         {
           "model": "Qwen/Qwen2.5-0.5B-Instruct",
           "link": "https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct",
-          "score": 0.0581,
-          "coverage": 4,
+          "score": 0.0543,
+          "coverage": 6,
           "per_board": {
             "GSM8K-test_benchmark": {
               "lb_id": 121,
@@ -1601,30 +1392,22 @@
             "ARC-Challenge-test_benchmark": {
               "lb_id": 124,
               "norm": 0.01788908765652953
-            }
-          }
-        },
-        {
-          "model": "deepseek-ai/deepseek-llm-7b-chat",
-          "link": "https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat",
-          "score": 0.0508,
-          "coverage": 2,
-          "per_board": {
-            "HellaSwag-validation_benchmark": {
-              "lb_id": 123,
-              "norm": 0.10157531998687234
             },
-            "ARC-Challenge-test_benchmark": {
-              "lb_id": 124,
+            "ARC-Easy-test_benchmark": {
+              "lb_id": 125,
               "norm": 0.0
+            },
+            "OpenBookQA-test_benchmark": {
+              "lb_id": 126,
+              "norm": 0.09316770186335395
             }
           }
         },
         {
           "model": "meta-llama/Llama-3.2-1B-Instruct",
           "link": "https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct",
-          "score": 0.0164,
-          "coverage": 4,
+          "score": 0.0169,
+          "coverage": 6,
           "per_board": {
             "GSM8K-test_benchmark": {
               "lb_id": 121,
@@ -1641,6 +1424,217 @@
             "ARC-Challenge-test_benchmark": {
               "lb_id": 124,
               "norm": 0.055456171735241554
+            },
+            "ARC-Easy-test_benchmark": {
+              "lb_id": 125,
+              "norm": 0.036111111111110934
+            },
+            "OpenBookQA-test_benchmark": {
+              "lb_id": 126,
+              "norm": 0.0
+            }
+          }
+        }
+      ]
+    },
+    {
+      "scope": "Vision/Optical Flow",
+      "level": "subcategory",
+      "n_boards": 5,
+      "boards": [
+        "MPI-Sintel-clean-flow_benchmark",
+        "MPI-Sintel-final-flow_benchmark",
+        "KITTI-2015-flow_benchmark",
+        "KITTI-2012-flow_benchmark",
+        "Middlebury-flow_benchmark"
+      ],
+      "n_models": 7,
+      "models": [
+        {
+          "model": "FlowFormer",
+          "link": "https://github.com/hmorimitsu/ptlflow",
+          "score": 1.0,
+          "coverage": 3,
+          "per_board": {
+            "MPI-Sintel-clean-flow_benchmark": {
+              "lb_id": 110,
+              "norm": 1.0
+            },
+            "MPI-Sintel-final-flow_benchmark": {
+              "lb_id": 111,
+              "norm": 1.0
+            },
+            "KITTI-2012-flow_benchmark": {
+              "lb_id": 113,
+              "norm": 1.0
+            }
+          }
+        },
+        {
+          "model": "GMA",
+          "link": "https://github.com/hmorimitsu/ptlflow",
+          "score": 0.9403,
+          "coverage": 5,
+          "per_board": {
+            "MPI-Sintel-clean-flow_benchmark": {
+              "lb_id": 110,
+              "norm": 0.8831801504829518
+            },
+            "MPI-Sintel-final-flow_benchmark": {
+              "lb_id": 111,
+              "norm": 0.9387585495180901
+            },
+            "KITTI-2015-flow_benchmark": {
+              "lb_id": 112,
+              "norm": 0.9695380291663356
+            },
+            "KITTI-2012-flow_benchmark": {
+              "lb_id": 113,
+              "norm": 0.9099126434606142
+            },
+            "Middlebury-flow_benchmark": {
+              "lb_id": 114,
+              "norm": 1.0
+            }
+          }
+        },
+        {
+          "model": "RAFT-large",
+          "link": "https://pytorch.org/vision/stable/models/raft.html",
+          "score": 0.9321,
+          "coverage": 5,
+          "per_board": {
+            "MPI-Sintel-clean-flow_benchmark": {
+              "lb_id": 110,
+              "norm": 0.733598264661722
+            },
+            "MPI-Sintel-final-flow_benchmark": {
+              "lb_id": 111,
+              "norm": 0.9845356862466544
+            },
+            "KITTI-2015-flow_benchmark": {
+              "lb_id": 112,
+              "norm": 1.0
+            },
+            "KITTI-2012-flow_benchmark": {
+              "lb_id": 113,
+              "norm": 0.9433444186864265
+            },
+            "Middlebury-flow_benchmark": {
+              "lb_id": 114,
+              "norm": 0.9989249587058627
+            }
+          }
+        },
+        {
+          "model": "RAFT-small",
+          "link": "https://pytorch.org/vision/stable/models/raft.html",
+          "score": 0.5158,
+          "coverage": 5,
+          "per_board": {
+            "MPI-Sintel-clean-flow_benchmark": {
+              "lb_id": 110,
+              "norm": 0.3660566414590205
+            },
+            "MPI-Sintel-final-flow_benchmark": {
+              "lb_id": 111,
+              "norm": 0.7603607546129632
+            },
+            "KITTI-2015-flow_benchmark": {
+              "lb_id": 112,
+              "norm": 0.4865400004759567
+            },
+            "KITTI-2012-flow_benchmark": {
+              "lb_id": 113,
+              "norm": 0.5926950938737646
+            },
+            "Middlebury-flow_benchmark": {
+              "lb_id": 114,
+              "norm": 0.37351904302278593
+            }
+          }
+        },
+        {
+          "model": "GMFlow",
+          "link": "https://github.com/hmorimitsu/ptlflow",
+          "score": 0.2203,
+          "coverage": 5,
+          "per_board": {
+            "MPI-Sintel-clean-flow_benchmark": {
+              "lb_id": 110,
+              "norm": 0.4974881107223552
+            },
+            "MPI-Sintel-final-flow_benchmark": {
+              "lb_id": 111,
+              "norm": 0.28462891850783056
+            },
+            "KITTI-2015-flow_benchmark": {
+              "lb_id": 112,
+              "norm": 0.0
+            },
+            "KITTI-2012-flow_benchmark": {
+              "lb_id": 113,
+              "norm": 0.0
+            },
+            "Middlebury-flow_benchmark": {
+              "lb_id": 114,
+              "norm": 0.3192730921362036
+            }
+          }
+        },
+        {
+          "model": "PWC-Net",
+          "link": "https://github.com/hmorimitsu/ptlflow",
+          "score": 0.1157,
+          "coverage": 5,
+          "per_board": {
+            "MPI-Sintel-clean-flow_benchmark": {
+              "lb_id": 110,
+              "norm": 0.2352358989938106
+            },
+            "MPI-Sintel-final-flow_benchmark": {
+              "lb_id": 111,
+              "norm": 0.0
+            },
+            "KITTI-2015-flow_benchmark": {
+              "lb_id": 112,
+              "norm": 0.03800238667034228
+            },
+            "KITTI-2012-flow_benchmark": {
+              "lb_id": 113,
+              "norm": 0.3051801530401207
+            },
+            "Middlebury-flow_benchmark": {
+              "lb_id": 114,
+              "norm": 0.0
+            }
+          }
+        },
+        {
+          "model": "FastFlowNet",
+          "link": "https://github.com/hmorimitsu/ptlflow",
+          "score": 0.0933,
+          "coverage": 5,
+          "per_board": {
+            "MPI-Sintel-clean-flow_benchmark": {
+              "lb_id": 110,
+              "norm": 0.0
+            },
+            "MPI-Sintel-final-flow_benchmark": {
+              "lb_id": 111,
+              "norm": 0.08033231693206166
+            },
+            "KITTI-2015-flow_benchmark": {
+              "lb_id": 112,
+              "norm": 0.032016291066676916
+            },
+            "KITTI-2012-flow_benchmark": {
+              "lb_id": 113,
+              "norm": 0.2688537243558956
+            },
+            "Middlebury-flow_benchmark": {
+              "lb_id": 114,
+              "norm": 0.08546261074977646
             }
           }
         }

index.json

@@ -1,5 +1,5 @@
 {
-  "generated_at": "2026-06-24T01:02:38Z",
+  "generated_at": "2026-06-24T05:24:59Z",
   "source": "https://runbenchhub.com",
   "leaderboards": [
     {
@@ -94,6 +94,29 @@
       },
       "updated_at": "2026-06-23T04:16:28.793060"
     },
+    {
+      "id": 125,
+      "name": "ARC-Easy-test_benchmark",
+      "category": "NLP/Reasoning & Knowledge",
+      "url": "https://runbenchhub.com/leaderboard/125",
+      "submit_url": "https://runbenchhub.com/leaderboard/125?utm_source=hf_space&utm_medium=submit_btn",
+      "datasets": [
+        {
+          "name": "ARC-Easy-test",
+          "description": "ARC-Easy (Clark et al., 2018) — grade-school science multiple-choice questions (test, 4-option). Pinned zero-shot prompt; scored by letter exact match.",
+          "source_url": "https://huggingface.co/datasets/allenai/ai2_arc"
+        }
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@@ -163,6 +186,29 @@
       },
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leaderboards/125.json

@@ -0,0 +1,78 @@
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leaderboards/126.json

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