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duyle2408
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augmentation-small-metrics-runs

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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
checkpoint: string
dataset: string
evaluator_commit: string
method: string
nms_iou: double
protocol: string
seed: int64
source_checkpoint: string
source_repo: string
split_seed: int64
test/fitness: double
test/metrics/mAP50(B): double
test/metrics/mAP50-75(B): double
test/metrics/mAP50-95(B): double
test/metrics/mAP75(B): double
test/metrics/precision(B): double
test/metrics/recall(B): double
test_merged/AP-Medium: double
test_merged/AP-Small: double
test_merged/AP-Tiny1: double
test_merged/AP-Tiny2: double
test_merged/AP-Tiny3: double
test_merged/AP50: double
test_merged/AP50-Medium: double
test_merged/AP50-Small: double
test_merged/AP50-Tiny1: double
test_merged/AP50-Tiny2: double
test_merged/AP50-Tiny3: double
test_merged/AP75: double
test_merged/available: double
test_merged/mAP50-75: double
val/fitness: double
val/metrics/mAP50(B): double
val/metrics/mAP50-75(B): double
val/metrics/mAP50-95(B): double
val/metrics/mAP75(B): double
val/metrics/precision(B): double
val/metrics/recall(B): double
test_size/AP50-Tiny1: double
source_artifact: string
test_size/AP75: double
test_size/AP50-Tiny3: double
test_size/mAP50-75: double
test_size/AP50-Tiny2: double
test_size/AP-Tiny3: double
test/mAP50-95: double
test_size/AP-Tiny1: double
test_size/AP50-Medium: double
test_size/AP50-Small: double
val/AP50: double
test_size/AP-Medium: double
val/mAP50-95: double
test_size/AP50: double
test/AP50: double
test_size/protocol: string
test_size/AP-Small: double
test_size/available: double
test_size/AP-Tiny2: double
to
{'dataset': Value('string'), 'evaluator_commit': Value('string'), 'method': Value('string'), 'protocol': Value('string'), 'seed': Value('int64'), 'source_artifact': Value('string'), 'source_checkpoint': Value('string'), 'source_repo': Value('string'), 'split_seed': Value('int64'), 'test/AP50': Value('float64'), 'test/mAP50-95': Value('float64'), 'test_size/AP-Medium': Value('float64'), 'test_size/AP-Small': Value('float64'), 'test_size/AP-Tiny1': Value('float64'), 'test_size/AP-Tiny2': Value('float64'), 'test_size/AP-Tiny3': Value('float64'), 'test_size/AP50': Value('float64'), 'test_size/AP50-Medium': Value('float64'), 'test_size/AP50-Small': Value('float64'), 'test_size/AP50-Tiny1': Value('float64'), 'test_size/AP50-Tiny2': Value('float64'), 'test_size/AP50-Tiny3': Value('float64'), 'test_size/AP75': Value('float64'), 'test_size/available': Value('float64'), 'test_size/mAP50-75': Value('float64'), 'test_size/protocol': Value('string'), 'val/AP50': Value('float64'), 'val/mAP50-95': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              checkpoint: string
              dataset: string
              evaluator_commit: string
              method: string
              nms_iou: double
              protocol: string
              seed: int64
              source_checkpoint: string
              source_repo: string
              split_seed: int64
              test/fitness: double
              test/metrics/mAP50(B): double
              test/metrics/mAP50-75(B): double
              test/metrics/mAP50-95(B): double
              test/metrics/mAP75(B): double
              test/metrics/precision(B): double
              test/metrics/recall(B): double
              test_merged/AP-Medium: double
              test_merged/AP-Small: double
              test_merged/AP-Tiny1: double
              test_merged/AP-Tiny2: double
              test_merged/AP-Tiny3: double
              test_merged/AP50: double
              test_merged/AP50-Medium: double
              test_merged/AP50-Small: double
              test_merged/AP50-Tiny1: double
              test_merged/AP50-Tiny2: double
              test_merged/AP50-Tiny3: double
              test_merged/AP75: double
              test_merged/available: double
              test_merged/mAP50-75: double
              val/fitness: double
              val/metrics/mAP50(B): double
              val/metrics/mAP50-75(B): double
              val/metrics/mAP50-95(B): double
              val/metrics/mAP75(B): double
              val/metrics/precision(B): double
              val/metrics/recall(B): double
              test_size/AP50-Tiny1: double
              source_artifact: string
              test_size/AP75: double
              test_size/AP50-Tiny3: double
              test_size/mAP50-75: double
              test_size/AP50-Tiny2: double
              test_size/AP-Tiny3: double
              test/mAP50-95: double
              test_size/AP-Tiny1: double
              test_size/AP50-Medium: double
              test_size/AP50-Small: double
              val/AP50: double
              test_size/AP-Medium: double
              val/mAP50-95: double
              test_size/AP50: double
              test/AP50: double
              test_size/protocol: string
              test_size/AP-Small: double
              test_size/available: double
              test_size/AP-Tiny2: double
              to
              {'dataset': Value('string'), 'evaluator_commit': Value('string'), 'method': Value('string'), 'protocol': Value('string'), 'seed': Value('int64'), 'source_artifact': Value('string'), 'source_checkpoint': Value('string'), 'source_repo': Value('string'), 'split_seed': Value('int64'), 'test/AP50': Value('float64'), 'test/mAP50-95': Value('float64'), 'test_size/AP-Medium': Value('float64'), 'test_size/AP-Small': Value('float64'), 'test_size/AP-Tiny1': Value('float64'), 'test_size/AP-Tiny2': Value('float64'), 'test_size/AP-Tiny3': Value('float64'), 'test_size/AP50': Value('float64'), 'test_size/AP50-Medium': Value('float64'), 'test_size/AP50-Small': Value('float64'), 'test_size/AP50-Tiny1': Value('float64'), 'test_size/AP50-Tiny2': Value('float64'), 'test_size/AP50-Tiny3': Value('float64'), 'test_size/AP75': Value('float64'), 'test_size/available': Value('float64'), 'test_size/mAP50-75': Value('float64'), 'test_size/protocol': Value('string'), 'val/AP50': Value('float64'), 'val/mAP50-95': Value('float64')}
              because column names don't match

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