Datasets:

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FlagEval CN LLM Leaderboard 7

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
config_general: struct<model_name: string, model_dtype: string, model_size: int64>
results: struct<overall: double, Perception: struct<overall: double, Visual Grounding: double, Counting: double, State & Activity Understanding: double>, Spatial Reasoning: struct<overall: double, Dynamic: double, Relative direction: double, Multi-view matching: double, Relative distance: double, Depth estimation: double, Relative shape: double, Size estimation: double>, Prediction: struct<overall: double, Trajectory: double, Future prediction: double>, Planning: struct<overall: double, Goal Decomposition: double, Navigation: double>>
vs
config_general: struct<model_name: string, model_dtype: string, model_size: int64>
results: struct<Where2Place: struct<overall: double, details: struct<unseen: double, seen: double>>, blink_val_ev: struct<overall: double, details: struct<Counting: double, Relative Depth: double, Spatial Relation: double, Multi-view Reasoning: double, Visual Correspondence: double>>, cv_bench_test: struct<overall: double, details: struct<accuracy_2d_ade: double, accuracy_2d_coco: double, accuracy_3d_omni: double, accuracy_2d: double, accuracy_3d: double>>, robo_spatial_home_all: struct<overall: double, details: struct<results_v2_compatibility: double, results_v2_configuration: double, results_v2_context: double, results_ori_context: double>>, embspatial_bench: struct<overall: double, details: struct<distance: double, direction: double>>, all_angles_bench: struct<overall: double, details: struct<attribute_identification: double, counting: double, relative_distance: double, relative_direction: double, manipulation: double, camera_pose_estimation: double>>, vsi_bench_tiny: struct<overall: double, details: struct<>>, SAT: struct<overall: double, details: struct<ego_movement: double, obj_movement: double, goal_aim: double, action_conseq: double, perspective: double>>, egoplan_bench2: struct<overall: double, details: struct<Hobbies: double, Work: double, Recreation: double, Daily life: double>>, erqa: struct<overall: double, details: struct<Trajectory Reasoning: double, Action Reasoning: double, Pointing: double, Spatial Reasoning: double, State Estimation: double, Multi-view Reasoning: double, Task Reasoning: double, Other: double>>>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 527, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              config_general: struct<model_name: string, model_dtype: string, model_size: int64>
              results: struct<overall: double, Perception: struct<overall: double, Visual Grounding: double, Counting: double, State & Activity Understanding: double>, Spatial Reasoning: struct<overall: double, Dynamic: double, Relative direction: double, Multi-view matching: double, Relative distance: double, Depth estimation: double, Relative shape: double, Size estimation: double>, Prediction: struct<overall: double, Trajectory: double, Future prediction: double>, Planning: struct<overall: double, Goal Decomposition: double, Navigation: double>>
              vs
              config_general: struct<model_name: string, model_dtype: string, model_size: int64>
              results: struct<Where2Place: struct<overall: double, details: struct<unseen: double, seen: double>>, blink_val_ev: struct<overall: double, details: struct<Counting: double, Relative Depth: double, Spatial Relation: double, Multi-view Reasoning: double, Visual Correspondence: double>>, cv_bench_test: struct<overall: double, details: struct<accuracy_2d_ade: double, accuracy_2d_coco: double, accuracy_3d_omni: double, accuracy_2d: double, accuracy_3d: double>>, robo_spatial_home_all: struct<overall: double, details: struct<results_v2_compatibility: double, results_v2_configuration: double, results_v2_context: double, results_ori_context: double>>, embspatial_bench: struct<overall: double, details: struct<distance: double, direction: double>>, all_angles_bench: struct<overall: double, details: struct<attribute_identification: double, counting: double, relative_distance: double, relative_direction: double, manipulation: double, camera_pose_estimation: double>>, vsi_bench_tiny: struct<overall: double, details: struct<>>, SAT: struct<overall: double, details: struct<ego_movement: double, obj_movement: double, goal_aim: double, action_conseq: double, perspective: double>>, egoplan_bench2: struct<overall: double, details: struct<Hobbies: double, Work: double, Recreation: double, Daily life: double>>, erqa: struct<overall: double, details: struct<Trajectory Reasoning: double, Action Reasoning: double, Pointing: double, Spatial Reasoning: double, State Estimation: double, Multi-view Reasoning: double, Task Reasoning: double, Other: double>>>