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dev-staging-a100-dgx

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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 5 new columns ({'time_stats.send_recv.median', 'time_stats.send_recv.min', 'time_stats.send_recv.max', 'time_stats.send_recv.mean', 'time_stats.send_recv.std'}) and 5 missing columns ({'time_stats.all_reduce.min', 'time_stats.all_reduce.max', 'time_stats.all_reduce.mean', 'time_stats.all_reduce.std', 'time_stats.all_reduce.median'}).

This happened while the csv dataset builder was generating data using

/tmp/hf-datasets-cache/medium/datasets/25228956441286-config-parquet-and-info-project-vajra-dev-staging-82d802a7/hub/datasets--project-vajra--dev-staging-a100-dgx/snapshots/b2965f91a236f36ffea6a7b8754c49d454d78a04/send_recv.csv.xz

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Unnamed: 0: int64
              time_stats.send_recv.min: double
              time_stats.send_recv.max: double
              time_stats.send_recv.mean: double
              time_stats.send_recv.median: double
              time_stats.send_recv.std: double
              rank: int64
              num_workers: int64
              size: int64
              collective: string
              devices_per_node: int64
              max_devices_per_node: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1847
              to
              {'Unnamed: 0': Value(dtype='int64', id=None), 'time_stats.all_reduce.min': Value(dtype='float64', id=None), 'time_stats.all_reduce.max': Value(dtype='float64', id=None), 'time_stats.all_reduce.mean': Value(dtype='float64', id=None), 'time_stats.all_reduce.median': Value(dtype='float64', id=None), 'time_stats.all_reduce.std': Value(dtype='float64', id=None), 'rank': Value(dtype='int64', id=None), 'num_workers': Value(dtype='int64', id=None), 'size': Value(dtype='int64', id=None), 'collective': Value(dtype='string', id=None), 'devices_per_node': Value(dtype='int64', id=None), 'max_devices_per_node': Value(dtype='int64', id=None)}
              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 1420, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1052, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 ({'time_stats.send_recv.median', 'time_stats.send_recv.min', 'time_stats.send_recv.max', 'time_stats.send_recv.mean', 'time_stats.send_recv.std'}) and 5 missing columns ({'time_stats.all_reduce.min', 'time_stats.all_reduce.max', 'time_stats.all_reduce.mean', 'time_stats.all_reduce.std', 'time_stats.all_reduce.median'}).
              
              This happened while the csv dataset builder was generating data using
              
              /tmp/hf-datasets-cache/medium/datasets/25228956441286-config-parquet-and-info-project-vajra-dev-staging-82d802a7/hub/datasets--project-vajra--dev-staging-a100-dgx/snapshots/b2965f91a236f36ffea6a7b8754c49d454d78a04/send_recv.csv.xz
              
              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.

Unnamed: 0
int64
time_stats.all_reduce.min
float64
time_stats.all_reduce.max
float64
time_stats.all_reduce.mean
float64
time_stats.all_reduce.median
float64
time_stats.all_reduce.std
float64
rank
int64
num_workers
int64
size
int64
collective
string
devices_per_node
int64
max_devices_per_node
int64
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97
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all_reduce
1
8
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