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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 4 new columns ({'std', 'mean', 'max', 'min'}) and 7 missing columns ({'time_stats.bandwidth.median', 'dtype', 'time_stats.bandwidth.max', 'time_stats.bandwidth.std', 'time_stats.bandwidth.mean', 'bandwidth_gbps', 'time_stats.bandwidth.min'}).
This happened while the csv dataset builder was generating data using
hf://datasets/project-vajra/dev-staging-bandwidth-a40-pairwise-nvlink/bandwidth_profile.csv (at revision 03e4929b6364cad428c56b1f0eadc61b5850914d)
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
direction: string
data_size: int64
mean: double
std: double
min: double
max: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 923
to
{'time_stats.bandwidth.min': Value('float64'), 'time_stats.bandwidth.max': Value('float64'), 'time_stats.bandwidth.mean': Value('float64'), 'time_stats.bandwidth.median': Value('float64'), 'time_stats.bandwidth.std': Value('float64'), 'data_size': Value('int64'), 'direction': Value('string'), 'dtype': Value('string'), 'bandwidth_gbps': Value('float64')}
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 1339, 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 972, 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 4 new columns ({'std', 'mean', 'max', 'min'}) and 7 missing columns ({'time_stats.bandwidth.median', 'dtype', 'time_stats.bandwidth.max', 'time_stats.bandwidth.std', 'time_stats.bandwidth.mean', 'bandwidth_gbps', 'time_stats.bandwidth.min'}).
This happened while the csv dataset builder was generating data using
hf://datasets/project-vajra/dev-staging-bandwidth-a40-pairwise-nvlink/bandwidth_profile.csv (at revision 03e4929b6364cad428c56b1f0eadc61b5850914d)
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.
time_stats.bandwidth.min float64 | time_stats.bandwidth.max float64 | time_stats.bandwidth.mean float64 | time_stats.bandwidth.median float64 | time_stats.bandwidth.std float64 | data_size int64 | direction string | dtype string | bandwidth_gbps float64 |
|---|---|---|---|---|---|---|---|---|
0.000022 | 0.000031 | 0.000024 | 0.000022 | 0.000004 | 1,024 | h2d | torch.float16 | 0.039359 |
0.000019 | 0.00003 | 0.000022 | 0.000019 | 0.000004 | 1,024 | d2h | torch.float16 | 0.043368 |
0.000022 | 0.000039 | 0.000026 | 0.000023 | 0.000006 | 2,048 | h2d | torch.float16 | 0.072494 |
0.000021 | 0.00003 | 0.000024 | 0.000022 | 0.000003 | 2,048 | d2h | torch.float16 | 0.080941 |
0.000022 | 0.000034 | 0.000026 | 0.000023 | 0.000004 | 4,096 | h2d | torch.float16 | 0.148049 |
0.000019 | 0.000028 | 0.000022 | 0.000021 | 0.000003 | 4,096 | d2h | torch.float16 | 0.170396 |
0.000021 | 0.00003 | 0.000024 | 0.000022 | 0.000004 | 8,192 | h2d | torch.float16 | 0.319939 |
0.00002 | 0.00003 | 0.000023 | 0.000022 | 0.000004 | 8,192 | d2h | torch.float16 | 0.326601 |
0.000046 | 0.000059 | 0.000051 | 0.00005 | 0.000004 | 16,384 | h2d | torch.float16 | 0.296947 |
0.000041 | 0.000078 | 0.000057 | 0.000058 | 0.000014 | 16,384 | d2h | torch.float16 | 0.268308 |
0.000053 | 0.000087 | 0.000063 | 0.000057 | 0.000013 | 32,768 | h2d | torch.float16 | 0.487763 |
0.000075 | 0.000088 | 0.00008 | 0.00008 | 0.000005 | 32,768 | d2h | torch.float16 | 0.379315 |
0.000114 | 0.000137 | 0.000124 | 0.000122 | 0.000009 | 65,536 | h2d | torch.float16 | 0.493876 |
0.000043 | 0.000059 | 0.000049 | 0.000049 | 0.000005 | 65,536 | d2h | torch.float16 | 1.24031 |
0.000033 | 0.00004 | 0.000035 | 0.000033 | 0.000002 | 131,072 | h2d | torch.float16 | 3.46287 |
0.000019 | 0.000025 | 0.000021 | 0.00002 | 0.000002 | 131,072 | d2h | torch.float16 | 5.822188 |
0.000086 | 0.000095 | 0.00009 | 0.000087 | 0.000004 | 262,144 | h2d | torch.float16 | 2.727511 |
0.000042 | 0.000081 | 0.000055 | 0.000053 | 0.000014 | 262,144 | d2h | torch.float16 | 4.434663 |
0.00033 | 0.000408 | 0.000363 | 0.000353 | 0.000026 | 524,288 | h2d | torch.float16 | 1.345335 |
0.000065 | 0.000072 | 0.000069 | 0.000069 | 0.000002 | 524,288 | d2h | torch.float16 | 7.090515 |
0.000294 | 0.000305 | 0.000299 | 0.000299 | 0.000004 | 1,048,576 | h2d | torch.float16 | 3.261192 |
0.000057 | 0.000061 | 0.000059 | 0.000059 | 0.000001 | 1,048,576 | d2h | torch.float16 | 16.542486 |
0.000139 | 0.000152 | 0.000143 | 0.000141 | 0.000005 | 2,097,152 | h2d | torch.float16 | 13.691152 |
0.000089 | 0.00009 | 0.00009 | 0.00009 | 0 | 2,097,152 | d2h | torch.float16 | 21.745459 |
0.000293 | 0.000298 | 0.000295 | 0.000295 | 0.000002 | 4,194,304 | h2d | torch.float16 | 13.223953 |
0.000176 | 0.000196 | 0.000182 | 0.000179 | 0.000007 | 4,194,304 | d2h | torch.float16 | 21.475372 |
0.0007 | 0.00099 | 0.000923 | 0.000976 | 0.000112 | 8,388,608 | h2d | torch.float16 | 8.462941 |
0.000345 | 0.00035 | 0.000348 | 0.000348 | 0.000002 | 8,388,608 | d2h | torch.float16 | 22.481135 |
0.000763 | 0.000861 | 0.000787 | 0.000768 | 0.000037 | 16,777,216 | h2d | torch.float16 | 19.856257 |
0.000636 | 0.000642 | 0.000639 | 0.00064 | 0.000002 | 16,777,216 | d2h | torch.float16 | 24.435077 |
0.001578 | 0.001715 | 0.001635 | 0.001613 | 0.000051 | 33,554,432 | h2d | torch.float16 | 19.117995 |
0.001283 | 0.003913 | 0.001891 | 0.001447 | 0.001014 | 33,554,432 | d2h | torch.float16 | 16.525354 |
0.003946 | 0.003991 | 0.003965 | 0.003967 | 0.000017 | 67,108,864 | h2d | torch.float16 | 15.763543 |
0.002556 | 0.002566 | 0.00256 | 0.002558 | 0.000003 | 67,108,864 | d2h | torch.float16 | 24.418275 |
0.009505 | 0.009601 | 0.009535 | 0.009528 | 0.000035 | 134,217,728 | h2d | torch.float16 | 13.110017 |
0.005099 | 0.005108 | 0.005104 | 0.005104 | 0.000003 | 134,217,728 | d2h | torch.float16 | 24.489276 |
0.016118 | 0.016199 | 0.016161 | 0.016167 | 0.000028 | 268,435,456 | h2d | torch.float16 | 15.469678 |
0.009909 | 0.009981 | 0.00993 | 0.00992 | 0.000027 | 268,435,456 | d2h | torch.float16 | 25.174993 |
0.026664 | 0.026773 | 0.026733 | 0.026742 | 0.000036 | 536,870,912 | h2d | torch.float16 | 18.703584 |
0.020341 | 0.020497 | 0.02038 | 0.020352 | 0.000059 | 536,870,912 | d2h | torch.float16 | 24.534434 |
0.070321 | 0.071089 | 0.070601 | 0.070528 | 0.000266 | 1,073,741,824 | h2d | torch.float16 | 14.164111 |
0.040676 | 0.040754 | 0.040708 | 0.04068 | 0.000036 | 1,073,741,824 | d2h | torch.float16 | 24.56532 |
0.109811 | 0.110338 | 0.110179 | 0.110317 | 0.000205 | 2,147,483,648 | h2d | torch.float16 | 18.152212 |
0.081416 | 0.081721 | 0.081603 | 0.081652 | 0.000104 | 2,147,483,648 | d2h | torch.float16 | 24.508912 |
0.2263 | 0.240714 | 0.233636 | 0.234344 | 0.005366 | 4,294,967,296 | h2d | torch.float16 | 17.120676 |
0.16285 | 0.163494 | 0.16314 | 0.163087 | 0.000212 | 4,294,967,296 | d2h | torch.float16 | 24.518881 |
0.435061 | 0.462773 | 0.442524 | 0.437189 | 0.010295 | 8,589,934,592 | h2d | torch.float16 | 18.0781 |
0.334177 | 0.334687 | 0.334363 | 0.334287 | 0.000185 | 8,589,934,592 | d2h | torch.float16 | 23.926071 |
1.023805 | 1.1343 | 1.063919 | 1.065276 | 0.039725 | 17,179,869,184 | h2d | torch.float16 | 15.038739 |
0.682743 | 0.684485 | 0.68357 | 0.683481 | 0.000686 | 17,179,869,184 | d2h | torch.float16 | 23.406532 |
null | null | null | null | null | 1,024 | d2h | null | null |
null | null | null | null | null | 2,048 | d2h | null | null |
null | null | null | null | null | 4,096 | d2h | null | null |
null | null | null | null | null | 8,192 | d2h | null | null |
null | null | null | null | null | 16,384 | d2h | null | null |
null | null | null | null | null | 32,768 | d2h | null | null |
null | null | null | null | null | 65,536 | d2h | null | null |
null | null | null | null | null | 131,072 | d2h | null | null |
null | null | null | null | null | 262,144 | d2h | null | null |
null | null | null | null | null | 524,288 | d2h | null | null |
null | null | null | null | null | 1,048,576 | d2h | null | null |
null | null | null | null | null | 2,097,152 | d2h | null | null |
null | null | null | null | null | 4,194,304 | d2h | null | null |
null | null | null | null | null | 8,388,608 | d2h | null | null |
null | null | null | null | null | 16,777,216 | d2h | null | null |
null | null | null | null | null | 33,554,432 | d2h | null | null |
null | null | null | null | null | 67,108,864 | d2h | null | null |
null | null | null | null | null | 134,217,728 | d2h | null | null |
null | null | null | null | null | 268,435,456 | d2h | null | null |
null | null | null | null | null | 536,870,912 | d2h | null | null |
null | null | null | null | null | 1,073,741,824 | d2h | null | null |
null | null | null | null | null | 2,147,483,648 | d2h | null | null |
null | null | null | null | null | 4,294,967,296 | d2h | null | null |
null | null | null | null | null | 8,589,934,592 | d2h | null | null |
null | null | null | null | null | 17,179,869,184 | d2h | null | null |
null | null | null | null | null | 1,024 | h2d | null | null |
null | null | null | null | null | 2,048 | h2d | null | null |
null | null | null | null | null | 4,096 | h2d | null | null |
null | null | null | null | null | 8,192 | h2d | null | null |
null | null | null | null | null | 16,384 | h2d | null | null |
null | null | null | null | null | 32,768 | h2d | null | null |
null | null | null | null | null | 65,536 | h2d | null | null |
null | null | null | null | null | 131,072 | h2d | null | null |
null | null | null | null | null | 262,144 | h2d | null | null |
null | null | null | null | null | 524,288 | h2d | null | null |
null | null | null | null | null | 1,048,576 | h2d | null | null |
null | null | null | null | null | 2,097,152 | h2d | null | null |
null | null | null | null | null | 4,194,304 | h2d | null | null |
null | null | null | null | null | 8,388,608 | h2d | null | null |
null | null | null | null | null | 16,777,216 | h2d | null | null |
null | null | null | null | null | 33,554,432 | h2d | null | null |
null | null | null | null | null | 67,108,864 | h2d | null | null |
null | null | null | null | null | 134,217,728 | h2d | null | null |
null | null | null | null | null | 268,435,456 | h2d | null | null |
null | null | null | null | null | 536,870,912 | h2d | null | null |
null | null | null | null | null | 1,073,741,824 | h2d | null | null |
null | null | null | null | null | 2,147,483,648 | h2d | null | null |
null | null | null | null | null | 4,294,967,296 | h2d | null | null |
null | null | null | null | null | 8,589,934,592 | h2d | null | null |
null | null | null | null | null | 17,179,869,184 | h2d | null | null |
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