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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
overall_accuracy: double
total_videos: int64
model_name: string
category_scores: struct<av_score: double, common_sense_score: double, human_score: double, industry_score: double, mi (... 61 chars omitted)
  child 0, av_score: double
  child 1, common_sense_score: double
  child 2, human_score: double
  child 3, industry_score: double
  child 4, misc_score: double
  child 5, physics_score: double
  child 6, robot_score: double
evaluation_params: struct<vqa_questions_dir: string, video_dir: string, prompt_file: string>
  child 0, vqa_questions_dir: string
  child 1, video_dir: string
  child 2, prompt_file: string
to
{'video_id': Value('string'), 'video_paths': List(Value('string')), 'seeds': List(Value('string')), 'category': Value('string'), 'results': List({'uid': Value('string'), 'question': Value('string'), 'correct_answer': Value('string'), 'model_answers': List(Value('string')), 'accuracy': Value('float64'), 'total_seeds': Value('int64'), 'task': Value('string')}), 'accuracy': Value('float64'), 'total_seeds': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 764, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              overall_accuracy: double
              total_videos: int64
              model_name: string
              category_scores: struct<av_score: double, common_sense_score: double, human_score: double, industry_score: double, mi (... 61 chars omitted)
                child 0, av_score: double
                child 1, common_sense_score: double
                child 2, human_score: double
                child 3, industry_score: double
                child 4, misc_score: double
                child 5, physics_score: double
                child 6, robot_score: double
              evaluation_params: struct<vqa_questions_dir: string, video_dir: string, prompt_file: string>
                child 0, vqa_questions_dir: string
                child 1, video_dir: string
                child 2, prompt_file: string
              to
              {'video_id': Value('string'), 'video_paths': List(Value('string')), 'seeds': List(Value('string')), 'category': Value('string'), 'results': List({'uid': Value('string'), 'question': Value('string'), 'correct_answer': Value('string'), 'model_answers': List(Value('string')), 'accuracy': Value('float64'), 'total_seeds': Value('int64'), 'task': Value('string')}), 'accuracy': Value('float64'), 'total_seeds': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 5 new columns ({'overall_accuracy', 'evaluation_params', 'total_videos', 'model_name', 'category_scores'}) and 7 missing columns ({'category', 'results', 'video_paths', 'accuracy', 'video_id', 'seeds', 'total_seeds'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Amshaker/Physical-AI-Bench-Results/FC-2B/vqa_detailed_results.json (at revision 0ae6013217822b5c5786b5ab5bdec7b07f5bfb59), ['hf://datasets/Amshaker/Physical-AI-Bench-Results@0ae6013217822b5c5786b5ab5bdec7b07f5bfb59/DC-2B/vqa_detailed_results.json', 'hf://datasets/Amshaker/Physical-AI-Bench-Results@0ae6013217822b5c5786b5ab5bdec7b07f5bfb59/DC-2B/vqa_summary.json', 'hf://datasets/Amshaker/Physical-AI-Bench-Results@0ae6013217822b5c5786b5ab5bdec7b07f5bfb59/FC-2B/vqa_detailed_results.json', 'hf://datasets/Amshaker/Physical-AI-Bench-Results@0ae6013217822b5c5786b5ab5bdec7b07f5bfb59/FC-2B/vqa_summary.json'], ['hf://datasets/Amshaker/Physical-AI-Bench-Results@0ae6013217822b5c5786b5ab5bdec7b07f5bfb59/DC-2B/vqa_detailed_results.json', 'hf://datasets/Amshaker/Physical-AI-Bench-Results@0ae6013217822b5c5786b5ab5bdec7b07f5bfb59/DC-2B/vqa_summary.json', 'hf://datasets/Amshaker/Physical-AI-Bench-Results@0ae6013217822b5c5786b5ab5bdec7b07f5bfb59/FC-2B/vqa_detailed_results.json', 'hf://datasets/Amshaker/Physical-AI-Bench-Results@0ae6013217822b5c5786b5ab5bdec7b07f5bfb59/FC-2B/vqa_summary.json']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              overall_accuracy: double
              total_videos: int64
              model_name: string
              category_scores: struct<av_score: double, common_sense_score: double, human_score: double, industry_score: double, mi (... 61 chars omitted)
                child 0, av_score: double
                child 1, common_sense_score: double
                child 2, human_score: double
                child 3, industry_score: double
                child 4, misc_score: double
                child 5, physics_score: double
                child 6, robot_score: double
              evaluation_params: struct<vqa_questions_dir: string, video_dir: string, prompt_file: string>
                child 0, vqa_questions_dir: string
                child 1, video_dir: string
                child 2, prompt_file: string
              to
              {'video_id': Value('string'), 'video_paths': List(Value('string')), 'seeds': List(Value('string')), 'category': Value('string'), 'results': List({'uid': Value('string'), 'question': Value('string'), 'correct_answer': Value('string'), 'model_answers': List(Value('string')), 'accuracy': Value('float64'), 'total_seeds': Value('int64'), 'task': Value('string')}), 'accuracy': Value('float64'), 'total_seeds': Value('int64')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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video_id
string
video_paths
list
seeds
list
category
string
results
list
accuracy
float64
total_seeds
int64
av_002b815b-7595-4d54-a9f4-4c62c83d3009
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_002b815b-7595-4d54-a9f4-4c62c83d3009.mp4" ]
[ "default" ]
av
[ { "uid": "av_002b815b-7595-4d54-a9f4-4c62c83d3009_Q1_(Space:_Relationship)", "question": "Are the double yellow lines continuously running along the left side of the ego vehicle?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task...
0.833333
1
av_00d8e9d4-d669-42d9-8aa9-16a09a47b531
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_00d8e9d4-d669-42d9-8aa9-16a09a47b531.mp4" ]
[ "default" ]
av
[ { "uid": "av_00d8e9d4-d669-42d9-8aa9-16a09a47b531_Q1_(Time:_Camera)", "question": "Does the video maintain a consistent perspective without abrupt changes in camera angle?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:succes...
0.666667
1
av_027b0cab-4b66-4100-83f3-e4150296d9de
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_027b0cab-4b66-4100-83f3-e4150296d9de.mp4" ]
[ "default" ]
av
[ { "uid": "av_027b0cab-4b66-4100-83f3-e4150296d9de_Q1_(Physics:_Attributes)", "question": "Is the vehicle directly in front of the ego vehicle a sedan? ", "correct_answer": "A", "model_answers": [ "NO" ], "accuracy": 0, "total_seeds": 1, "task": "task:success:discrete:True" },...
0.666667
1
av_0553f23c-c4fe-4326-8bd2-40dd69d1452c
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_0553f23c-c4fe-4326-8bd2-40dd69d1452c.mp4" ]
[ "default" ]
av
[ { "uid": "av_0553f23c-c4fe-4326-8bd2-40dd69d1452c_Q1_(Physics:_States)", "question": "Does the speed of the silver SUV on the left side change? ", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discrete:True" }, { ...
0.666667
1
av_08a1a9fd-1fd5-4b12-ac74-9990b2b51dfe
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_08a1a9fd-1fd5-4b12-ac74-9990b2b51dfe.mp4" ]
[ "default" ]
av
[ { "uid": "av_08a1a9fd-1fd5-4b12-ac74-9990b2b51dfe_Q1_(Time:_Order)", "question": "Does the car moving from left to right appear before the ego vehicle makes a turn?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discr...
1
1
av_0aef6f94-b02a-4c29-b99f-06fcd48ac0a0
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_0aef6f94-b02a-4c29-b99f-06fcd48ac0a0.mp4" ]
[ "default" ]
av
[ { "uid": "av_0aef6f94-b02a-4c29-b99f-06fcd48ac0a0_Q1_(Time:_Camera)", "question": "Does the video maintain a constant perspective without any sudden changes in the camera angel?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:...
0.75
1
av_0b82886b-be71-49f9-83a3-346bc0134c4b
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_0b82886b-be71-49f9-83a3-346bc0134c4b.mp4" ]
[ "default" ]
av
[ { "uid": "av_0b82886b-be71-49f9-83a3-346bc0134c4b_Q1_(Time:_Camera)", "question": "Does the video maintain a consistent perspective without abrupt changes in camera angle?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:succes...
1
1
av_0d37d233-7254-4856-a391-f297633c6e66
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_0d37d233-7254-4856-a391-f297633c6e66.mp4" ]
[ "default" ]
av
[ { "uid": "av_0d37d233-7254-4856-a391-f297633c6e66_Q1_(Time:_Action)", "question": "Are both the red vehicles moving in the same direction?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discrete:True" }, { "ui...
1
1
av_0d9d4977-4944-4ec3-a784-86c34f2fa897
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_0d9d4977-4944-4ec3-a784-86c34f2fa897.mp4" ]
[ "default" ]
av
[ { "uid": "av_0d9d4977-4944-4ec3-a784-86c34f2fa897_Q1_(Time:_Order)", "question": "Does the ego vehicle come to a stop in the final frame?", "correct_answer": "A", "model_answers": [ "NO" ], "accuracy": 0, "total_seeds": 1, "task": "task:success:discrete:True" }, { "uid"...
0.666667
1
av_0e77b38f-59d9-4e66-ba1e-e3d40c572060
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_0e77b38f-59d9-4e66-ba1e-e3d40c572060.mp4" ]
[ "default" ]
av
[ { "uid": "av_0e77b38f-59d9-4e66-ba1e-e3d40c572060_Q1_(Time:_Camera)", "question": "Is the camera shooting from inside the vehicle?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discrete:True" }, { "uid": "av_...
0.5
1
av_12b168b2-0c37-4b7c-b7f3-e78165b24d5c
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_12b168b2-0c37-4b7c-b7f3-e78165b24d5c.mp4" ]
[ "default" ]
av
[ { "uid": "av_12b168b2-0c37-4b7c-b7f3-e78165b24d5c_Q1_(Space:_Relationship)", "question": "Is the \"Truebeck Construction\" sign visible throughout the entirety of the video? ", "correct_answer": "B", "model_answers": [ "NO" ], "accuracy": 1, "total_seeds": 1, "task": "task:succ...
1
1
av_16b04921-6c87-4f5b-9c06-f56364e9c87a
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_16b04921-6c87-4f5b-9c06-f56364e9c87a.mp4" ]
[ "default" ]
av
[ { "uid": "av_16b04921-6c87-4f5b-9c06-f56364e9c87a_Q1_(Space:_Geometry)", "question": "Is the stop sign shaped like an octagon?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discrete:True" }, { "uid": "av_16b0...
0.333333
1
av_1aab097c-2b50-4b60-8104-b1e6727b7615
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_1aab097c-2b50-4b60-8104-b1e6727b7615.mp4" ]
[ "default" ]
av
[ { "uid": "av_1aab097c-2b50-4b60-8104-b1e6727b7615_Q1_(Physics:_States)", "question": "Is the left indicator of the ego vehicle turned on?", "correct_answer": "A", "model_answers": [ "NO" ], "accuracy": 0, "total_seeds": 1, "task": "task:success:discrete:True" }, { "uid"...
0.666667
1
av_1c32e96d-0e51-46c9-8326-1905e52f462c
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_1c32e96d-0e51-46c9-8326-1905e52f462c.mp4" ]
[ "default" ]
av
[ { "uid": "av_1c32e96d-0e51-46c9-8326-1905e52f462c_Q1_(Time:_Action)", "question": "Are the vehicles travelling in both directions on the road?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discrete:True" }, { ...
1
1
av_1cd2d3bd-6198-467f-83c9-4b12e5af1235
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_1cd2d3bd-6198-467f-83c9-4b12e5af1235.mp4" ]
[ "default" ]
av
[ { "uid": "av_1cd2d3bd-6198-467f-83c9-4b12e5af1235_Q1_(Physics:_States)", "question": "Is the truck visible on the left side of the video frame, stationary throughout the video?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:s...
1
1
av_1f93fbc0-7dae-40ca-8570-3de34f00f2c2
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_1f93fbc0-7dae-40ca-8570-3de34f00f2c2.mp4" ]
[ "default" ]
av
[ { "uid": "av_1f93fbc0-7dae-40ca-8570-3de34f00f2c2_Q1_(Physics:_Object_Permanence)", "question": "Are the street lights illuminated throughout the video?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discrete:True" ...
1
1
av_1ff8aea6-13ec-49c9-877d-54f287179065
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_1ff8aea6-13ec-49c9-877d-54f287179065.mp4" ]
[ "default" ]
av
[ { "uid": "av_1ff8aea6-13ec-49c9-877d-54f287179065_Q1_(Time:_Action)", "question": "Is the lady holding the mobile phone while walking?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discrete:True" }, { "uid": ...
1
1
av_20220d89-b7ea-4e72-8153-304612dd3f47
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_20220d89-b7ea-4e72-8153-304612dd3f47.mp4" ]
[ "default" ]
av
[ { "uid": "av_20220d89-b7ea-4e72-8153-304612dd3f47_Q1_(Space:_Relationship)", "question": "Are the parked cars aligned within the white lines of their designated parking spaces?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:s...
1
1
av_28b7cf08-cfb8-41e4-8b1b-d669aa69e632
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_28b7cf08-cfb8-41e4-8b1b-d669aa69e632.mp4" ]
[ "default" ]
av
[ { "uid": "av_28b7cf08-cfb8-41e4-8b1b-d669aa69e632_Q1_(Space:_Interaction)", "question": "Is the black car on the left side stationary throughout the video?", "correct_answer": "A", "model_answers": [ "NO" ], "accuracy": 0, "total_seeds": 1, "task": "task:success:discrete:True" ...
0.5
1
av_2cdc6699-574f-40b7-9b5b-15905c540274
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_2cdc6699-574f-40b7-9b5b-15905c540274.mp4" ]
[ "default" ]
av
[ { "uid": "av_2cdc6699-574f-40b7-9b5b-15905c540274_Q1_(Time:_Action)", "question": "Can one see vehicles moving other than the ego vehicle?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discrete:True" }, { "ui...
0.5
1
av_2d2c3c3b-0a9e-4220-b280-1167e1bc7edf
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_2d2c3c3b-0a9e-4220-b280-1167e1bc7edf.mp4" ]
[ "default" ]
av
[ { "uid": "av_2d2c3c3b-0a9e-4220-b280-1167e1bc7edf_Q1_(Physics:_Attributes)", "question": "Is the stop sign on the left side of the road hexagonal in shape?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discrete:True"...
0.5
1
av_2d7a2746-56ab-48ed-bf34-383da5d99eb2
[ "/proj/cvl/users/x_fahkh2/physical-ai-bench/My-Videos/full/darc_0012/av_2d7a2746-56ab-48ed-bf34-383da5d99eb2.mp4" ]
[ "default" ]
av
[ { "uid": "av_2d7a2746-56ab-48ed-bf34-383da5d99eb2_Q1_(Time:_Camera)", "question": "Is the camera positioned at the same angle throughout the video?", "correct_answer": "A", "model_answers": [ "YES" ], "accuracy": 1, "total_seeds": 1, "task": "task:success:discrete:True" }, ...
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0.666667
1
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