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project-vajra
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dev-staging-h200-nvl

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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.nccl:all_reduce.median', 'time_stats.nccl:all_reduce.std', 'time_stats.nccl:all_reduce.mean', 'time_stats.nccl:all_reduce.min', 'time_stats.nccl:all_reduce.max'}) and 5 missing columns ({'time_stats.all_gather.min', 'time_stats.all_gather.mean', 'time_stats.all_gather.median', 'time_stats.all_gather.max', 'time_stats.all_gather.std'}).

This happened while the csv dataset builder was generating data using

/tmp/hf-datasets-cache/medium/datasets/28849523693050-config-parquet-and-info-project-vajra-dev-staging-a2f69e81/hub/datasets--project-vajra--dev-staging-h200-nvl/snapshots/4738280d19e92e8d8c5ea324582a712d7c903b50/all_reduce.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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Unnamed: 0: int64
              time_stats.nccl:all_reduce.min: double
              time_stats.nccl:all_reduce.max: double
              time_stats.nccl:all_reduce.mean: double
              time_stats.nccl:all_reduce.median: double
              time_stats.nccl:all_reduce.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, "' + 1907
              to
              {'Unnamed: 0': Value('int64'), 'time_stats.all_gather.min': Value('float64'), 'time_stats.all_gather.max': Value('float64'), 'time_stats.all_gather.mean': Value('float64'), 'time_stats.all_gather.median': Value('float64'), 'time_stats.all_gather.std': Value('float64'), 'rank': Value('int64'), 'num_workers': Value('int64'), 'size': Value('int64'), 'collective': Value('string'), 'devices_per_node': Value('int64'), 'max_devices_per_node': 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 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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.nccl:all_reduce.median', 'time_stats.nccl:all_reduce.std', 'time_stats.nccl:all_reduce.mean', 'time_stats.nccl:all_reduce.min', 'time_stats.nccl:all_reduce.max'}) and 5 missing columns ({'time_stats.all_gather.min', 'time_stats.all_gather.mean', 'time_stats.all_gather.median', 'time_stats.all_gather.max', 'time_stats.all_gather.std'}).
              
              This happened while the csv dataset builder was generating data using
              
              /tmp/hf-datasets-cache/medium/datasets/28849523693050-config-parquet-and-info-project-vajra-dev-staging-a2f69e81/hub/datasets--project-vajra--dev-staging-h200-nvl/snapshots/4738280d19e92e8d8c5ea324582a712d7c903b50/all_reduce.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_gather.min
float64
time_stats.all_gather.max
float64
time_stats.all_gather.mean
float64
time_stats.all_gather.median
float64
time_stats.all_gather.std
float64
rank
int64
num_workers
int64
size
int64
collective
string
devices_per_node
int64
max_devices_per_node
int64
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all_gather
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698,368
all_gather
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all_gather
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all_gather
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all_gather
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all_gather
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all_gather
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all_gather
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all_gather
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all_gather
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all_gather
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all_gather
2
4
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