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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
id: int64
run_id: string
timestamp: string
run_name: string
log_id: string
space_id: null
gpu/0/utilization: int64
gpu/0/memory_utilization: int64
gpu/0/allocated_memory: double
gpu/0/total_memory: double
gpu/0/memory_usage: double
gpu/0/power: double
gpu/0/power_limit: double
gpu/0/power_percent: double
gpu/0/temp: int64
gpu/0/sm_clock: int64
gpu/0/memory_clock: int64
gpu/0/performance_state: int64
gpu/0/energy_consumed: double
gpu/0/pcie_tx: double
gpu/0/pcie_rx: double
gpu/0/throttle_thermal: int64
gpu/0/throttle_power: int64
gpu/0/throttle_hw_slowdown: int64
gpu/0/throttle_apps: int64
gpu/0/corrected_memory_errors: int64
gpu/0/uncorrected_memory_errors: int64
gpu/mean_utilization: double
gpu/total_allocated_memory: double
gpu/total_power: double
gpu/max_temp: int64
cpu/0/utilization: double
cpu/1/utilization: double
cpu/2/utilization: double
cpu/3/utilization: double
cpu/4/utilization: double
cpu/5/utilization: double
cpu/6/utilization: double
cpu/7/utilization: double
cpu/8/utilization: double
cpu/9/utilization: double
cpu/10/utilization: double
cpu/11/utilization: double
cpu/utilization: double
cpu/frequency: double
cpu/count_logical: int64
cpu/count_physical: int64
memory/used: double
memory/total: double
memory/available: double
memory/percent: double
swap/used: double
swap/total: double
swap/percent: double
disk/read_mb_per_sec: double
disk/write_mb_per_sec: double
disk/read_iops: double
disk/write_iops: double
network/sent_mb_per_sec: double
network/recv_mb_per_sec: double
to
{'id': Value('int64'), 'run_id': Value('string'), 'run_name': Value('string'), 'created_at': Value('string'), 'run': Value('string'), 'arm': Value('string'), 'seed': Value('int64'), 'base_lr': Value('float64'), 'epochs': Value('int64'), 'batch_size': Value('int64'), 'image_size': Value('int64'), 'warmup_iters': Value('int64'), 'momentum': Value('float64'), 'weight_decay': Value('float64'), '_Username': Value('string'), '_Created': Value('string'), '_Group': Value('null')}
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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
              id: int64
              run_id: string
              timestamp: string
              run_name: string
              log_id: string
              space_id: null
              gpu/0/utilization: int64
              gpu/0/memory_utilization: int64
              gpu/0/allocated_memory: double
              gpu/0/total_memory: double
              gpu/0/memory_usage: double
              gpu/0/power: double
              gpu/0/power_limit: double
              gpu/0/power_percent: double
              gpu/0/temp: int64
              gpu/0/sm_clock: int64
              gpu/0/memory_clock: int64
              gpu/0/performance_state: int64
              gpu/0/energy_consumed: double
              gpu/0/pcie_tx: double
              gpu/0/pcie_rx: double
              gpu/0/throttle_thermal: int64
              gpu/0/throttle_power: int64
              gpu/0/throttle_hw_slowdown: int64
              gpu/0/throttle_apps: int64
              gpu/0/corrected_memory_errors: int64
              gpu/0/uncorrected_memory_errors: int64
              gpu/mean_utilization: double
              gpu/total_allocated_memory: double
              gpu/total_power: double
              gpu/max_temp: int64
              cpu/0/utilization: double
              cpu/1/utilization: double
              cpu/2/utilization: double
              cpu/3/utilization: double
              cpu/4/utilization: double
              cpu/5/utilization: double
              cpu/6/utilization: double
              cpu/7/utilization: double
              cpu/8/utilization: double
              cpu/9/utilization: double
              cpu/10/utilization: double
              cpu/11/utilization: double
              cpu/utilization: double
              cpu/frequency: double
              cpu/count_logical: int64
              cpu/count_physical: int64
              memory/used: double
              memory/total: double
              memory/available: double
              memory/percent: double
              swap/used: double
              swap/total: double
              swap/percent: double
              disk/read_mb_per_sec: double
              disk/write_mb_per_sec: double
              disk/read_iops: double
              disk/write_iops: double
              network/sent_mb_per_sec: double
              network/recv_mb_per_sec: double
              to
              {'id': Value('int64'), 'run_id': Value('string'), 'run_name': Value('string'), 'created_at': Value('string'), 'run': Value('string'), 'arm': Value('string'), 'seed': Value('int64'), 'base_lr': Value('float64'), 'epochs': Value('int64'), 'batch_size': Value('int64'), 'image_size': Value('int64'), 'warmup_iters': Value('int64'), 'momentum': Value('float64'), 'weight_decay': Value('float64'), '_Username': Value('string'), '_Created': Value('string'), '_Group': Value('null')}
              because column names don't match

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