Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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', 'max', 'mean', 'min'}) and 7 missing columns ({'bandwidth_gbps', 'time_stats.bandwidth.median', 'dtype', 'time_stats.bandwidth.min', 'time_stats.bandwidth.std', 'time_stats.bandwidth.max', 'time_stats.bandwidth.mean'}).
This happened while the csv dataset builder was generating data using
hf://datasets/project-vajra/dev-staging-bandwidth-h200-pci/bandwidth_profile.csv (at revision adddd8b04554e77e1b8bfd0a5a8ee0538fe4a89d)
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 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 4 new columns ({'std', 'max', 'mean', 'min'}) and 7 missing columns ({'bandwidth_gbps', 'time_stats.bandwidth.median', 'dtype', 'time_stats.bandwidth.min', 'time_stats.bandwidth.std', 'time_stats.bandwidth.max', 'time_stats.bandwidth.mean'}).
This happened while the csv dataset builder was generating data using
hf://datasets/project-vajra/dev-staging-bandwidth-h200-pci/bandwidth_profile.csv (at revision adddd8b04554e77e1b8bfd0a5a8ee0538fe4a89d)
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 |
|---|---|---|---|---|---|---|---|---|
0.000018 | 0.000025 | 0.00002 | 0.000019 | 0.000002 | 1,024 | h2d | torch.float16 | 0.047185 |
0.000021 | 0.000025 | 0.000022 | 0.000021 | 0.000001 | 1,024 | d2h | torch.float16 | 0.043469 |
0.000018 | 0.000022 | 0.000019 | 0.000018 | 0.000001 | 2,048 | h2d | torch.float16 | 0.099176 |
0.00002 | 0.000025 | 0.000022 | 0.000021 | 0.000002 | 2,048 | d2h | torch.float16 | 0.087397 |
0.000018 | 0.000028 | 0.000021 | 0.000019 | 0.000003 | 4,096 | h2d | torch.float16 | 0.179208 |
0.000021 | 0.000024 | 0.000022 | 0.000021 | 0.000001 | 4,096 | d2h | torch.float16 | 0.176137 |
0.000019 | 0.000022 | 0.00002 | 0.00002 | 0.000001 | 8,192 | h2d | torch.float16 | 0.377723 |
0.000021 | 0.000024 | 0.000022 | 0.000022 | 0.000001 | 8,192 | d2h | torch.float16 | 0.341476 |
0.000019 | 0.000023 | 0.000021 | 0.00002 | 0.000001 | 16,384 | h2d | torch.float16 | 0.74066 |
0.000022 | 0.000025 | 0.000023 | 0.000023 | 0.000001 | 16,384 | d2h | torch.float16 | 0.673119 |
0.000021 | 0.000025 | 0.000023 | 0.000022 | 0.000001 | 32,768 | h2d | torch.float16 | 1.345098 |
0.000023 | 0.00003 | 0.000025 | 0.000025 | 0.000003 | 32,768 | d2h | torch.float16 | 1.206267 |
0.000025 | 0.00003 | 0.000027 | 0.000026 | 0.000002 | 65,536 | h2d | torch.float16 | 2.285892 |
0.000024 | 0.000028 | 0.000026 | 0.000026 | 0.000001 | 65,536 | d2h | torch.float16 | 2.359412 |
0.000026 | 0.000029 | 0.000027 | 0.000026 | 0.000001 | 131,072 | h2d | torch.float16 | 4.542388 |
0.000028 | 0.000033 | 0.00003 | 0.00003 | 0.000002 | 131,072 | d2h | torch.float16 | 4.054738 |
0.000031 | 0.000036 | 0.000033 | 0.000032 | 0.000002 | 262,144 | h2d | torch.float16 | 7.438957 |
0.000037 | 0.000041 | 0.000039 | 0.000039 | 0.000001 | 262,144 | d2h | torch.float16 | 6.244389 |
0.000042 | 0.000049 | 0.000044 | 0.000043 | 0.000003 | 524,288 | h2d | torch.float16 | 11.015586 |
0.000055 | 0.00006 | 0.000057 | 0.000057 | 0.000002 | 524,288 | d2h | torch.float16 | 8.495985 |
0.000062 | 0.00007 | 0.000065 | 0.000064 | 0.000003 | 1,048,576 | h2d | torch.float16 | 14.928861 |
0.000092 | 0.000104 | 0.000096 | 0.000095 | 0.000004 | 1,048,576 | d2h | torch.float16 | 10.14952 |
0.00009 | 0.000094 | 0.000092 | 0.000091 | 0.000002 | 2,097,152 | h2d | torch.float16 | 21.318601 |
0.000142 | 0.000156 | 0.000148 | 0.000147 | 0.000005 | 2,097,152 | d2h | torch.float16 | 13.180831 |
0.000146 | 0.000159 | 0.00015 | 0.000147 | 0.000005 | 4,194,304 | h2d | torch.float16 | 25.988996 |
0.000246 | 0.000266 | 0.000254 | 0.00025 | 0.000008 | 4,194,304 | d2h | torch.float16 | 15.362099 |
0.000257 | 0.000283 | 0.000268 | 0.000264 | 0.00001 | 8,388,608 | h2d | torch.float16 | 29.187364 |
0.00046 | 0.000504 | 0.000471 | 0.000463 | 0.000016 | 8,388,608 | d2h | torch.float16 | 16.569881 |
0.000554 | 0.00058 | 0.000564 | 0.00056 | 0.00001 | 16,777,216 | h2d | torch.float16 | 27.719943 |
0.000889 | 0.000947 | 0.000912 | 0.000915 | 0.000021 | 16,777,216 | d2h | torch.float16 | 17.125705 |
0.001344 | 0.001427 | 0.001365 | 0.001347 | 0.000032 | 33,554,432 | h2d | torch.float16 | 22.891868 |
0.001866 | 0.001908 | 0.001887 | 0.001893 | 0.000015 | 33,554,432 | d2h | torch.float16 | 16.561619 |
0.002242 | 0.002692 | 0.002448 | 0.002438 | 0.000143 | 67,108,864 | h2d | torch.float16 | 25.536053 |
0.003115 | 0.003223 | 0.003145 | 0.003123 | 0.00004 | 67,108,864 | d2h | torch.float16 | 19.872824 |
0.004593 | 0.004699 | 0.00465 | 0.004663 | 0.000037 | 134,217,728 | h2d | torch.float16 | 26.884477 |
0.006351 | 0.006478 | 0.006407 | 0.006402 | 0.000046 | 134,217,728 | d2h | torch.float16 | 19.511407 |
0.009214 | 0.009262 | 0.009239 | 0.009244 | 0.000017 | 268,435,456 | h2d | torch.float16 | 27.059951 |
0.013024 | 0.013187 | 0.013109 | 0.013117 | 0.000055 | 268,435,456 | d2h | torch.float16 | 19.070721 |
0.018672 | 0.01886 | 0.018748 | 0.018754 | 0.000067 | 536,870,912 | h2d | torch.float16 | 26.669392 |
0.026022 | 0.026185 | 0.02612 | 0.026167 | 0.000066 | 536,870,912 | d2h | torch.float16 | 19.142162 |
0.035515 | 0.035889 | 0.035722 | 0.035737 | 0.00012 | 1,073,741,824 | h2d | torch.float16 | 27.994237 |
0.052033 | 0.053091 | 0.052359 | 0.05219 | 0.00039 | 1,073,741,824 | d2h | torch.float16 | 19.099034 |
0.070362 | 0.070952 | 0.070705 | 0.070704 | 0.000211 | 2,147,483,648 | h2d | torch.float16 | 28.28641 |
0.113271 | 0.114164 | 0.113669 | 0.11361 | 0.000359 | 2,147,483,648 | d2h | torch.float16 | 17.594899 |
0.144806 | 0.147492 | 0.145702 | 0.145119 | 0.001033 | 4,294,967,296 | h2d | torch.float16 | 27.45332 |
0.197894 | 0.198621 | 0.198352 | 0.198467 | 0.000263 | 4,294,967,296 | d2h | torch.float16 | 20.16622 |
0.28958 | 0.291023 | 0.290267 | 0.290179 | 0.000507 | 8,589,934,592 | h2d | torch.float16 | 27.560816 |
0.44575 | 0.448243 | 0.446592 | 0.446125 | 0.000897 | 8,589,934,592 | d2h | torch.float16 | 17.913429 |
0.583846 | 0.652117 | 0.621882 | 0.644052 | 0.030658 | 17,179,869,184 | h2d | torch.float16 | 25.728362 |
0.903096 | 0.954482 | 0.925125 | 0.90891 | 0.023419 | 17,179,869,184 | d2h | torch.float16 | 17.294952 |
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 |
No dataset card yet
- Downloads last month
- 2