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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 12 new columns ({'prediction', 'model', 'correct', 'pair_id', 'video_id', 'variant', 'adapter', 'distance', 'question_id', 'seed', 'answer', 'image_id'}) and 11 missing columns ({'accuracy_ci_low', 'test_pairs', 'accuracy', 'accuracy_drop', 'directional_questions', 'accuracy_drop_ci_high', 'accuracy_ci_high', 'accuracy_drop_ci_low', 'closer_accuracy', 'test_videos', 'farther_accuracy'}).

This happened while the json dataset builder was generating data using

hf://datasets/miguroi/guidedogqa-depth-evaluation/base/predictions.jsonl (at revision e2d5300b7f1eeb37485efd146977ea52f43b0749), ['hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/run.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/run.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/run.json'], ['hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/run.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/run.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/run.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)
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 784, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, 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
              adapter: null
              answer: string
              correct: bool
              degradation: string
              distance: string
              image_id: string
              model: string
              pair_id: string
              prediction: string
              question_id: string
              seed: int64
              severity: string
              variant: string
              video_id: string
              to
              {'accuracy': Value('float64'), 'accuracy_ci_high': Value('float64'), 'accuracy_ci_low': Value('float64'), 'accuracy_drop': Value('float64'), 'accuracy_drop_ci_high': Value('float64'), 'accuracy_drop_ci_low': Value('float64'), 'closer_accuracy': Value('float64'), 'degradation': Value('string'), 'directional_questions': Value('int64'), 'farther_accuracy': Value('float64'), 'severity': Value('string'), 'test_pairs': Value('int64'), 'test_videos': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              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 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 12 new columns ({'prediction', 'model', 'correct', 'pair_id', 'video_id', 'variant', 'adapter', 'distance', 'question_id', 'seed', 'answer', 'image_id'}) and 11 missing columns ({'accuracy_ci_low', 'test_pairs', 'accuracy', 'accuracy_drop', 'directional_questions', 'accuracy_drop_ci_high', 'accuracy_ci_high', 'accuracy_drop_ci_low', 'closer_accuracy', 'test_videos', 'farther_accuracy'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/miguroi/guidedogqa-depth-evaluation/base/predictions.jsonl (at revision e2d5300b7f1eeb37485efd146977ea52f43b0749), ['hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/run.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/run.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/run.json'], ['hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/base/run.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/clean-lora-v3-best/run.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/metrics.json', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/predictions.jsonl', 'hf://datasets/miguroi/guidedogqa-depth-evaluation@e2d5300b7f1eeb37485efd146977ea52f43b0749/robust-lora-v0-best/run.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)

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.

accuracy
float64
accuracy_ci_high
float64
accuracy_ci_low
float64
accuracy_drop
float64
accuracy_drop_ci_high
float64
accuracy_drop_ci_low
float64
closer_accuracy
float64
degradation
string
directional_questions
int64
farther_accuracy
float64
severity
string
test_pairs
int64
test_videos
int64
0.516129
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mild
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0
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severe
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noise
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medium
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noise
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mild
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noise
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severe
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