Dataset Preview
Duplicate
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 1 new columns ({'# parsing_time: 0.04271125793457031'}) and 1 missing columns ({'# parsing_time: 0.014145374298095703'}).

This happened while the csv dataset builder was generating data using

hf://datasets/cportner/batch_testing/batch_1000/04e219c640ed59dc68ea2d50493de5b5-mp1-Nb5T15/results_3SAT/time_log.csv (at revision 2a6844b7b18c4f3affb18f1c00e06515b018554e)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              # parsing_time: 0.04271125793457031: string
              __index_level_0__: string
              __index_level_1__: string
              __index_level_2__: string
              __index_level_3__: string
              __index_level_4__: string
              __index_level_5__: string
              __index_level_6__: string
              __index_level_7__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__", "__index_level_1__", "__' + 1482
              to
              {'# parsing_time: 0.014145374298095703': Value('string'), '__index_level_0__': Value('string'), '__index_level_1__': Value('string'), '__index_level_2__': Value('string'), '__index_level_3__': Value('string'), '__index_level_4__': Value('string'), '__index_level_5__': Value('string'), '__index_level_6__': Value('string'), '__index_level_7__': Value('string')}
              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 1451, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 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 1 new columns ({'# parsing_time: 0.04271125793457031'}) and 1 missing columns ({'# parsing_time: 0.014145374298095703'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/cportner/batch_testing/batch_1000/04e219c640ed59dc68ea2d50493de5b5-mp1-Nb5T15/results_3SAT/time_log.csv (at revision 2a6844b7b18c4f3affb18f1c00e06515b018554e)
              
              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.

# parsing_time: 0.014145374298095703
string
__index_level_0__
string
__index_level_1__
string
__index_level_2__
string
__index_level_3__
string
__index_level_4__
string
__index_level_5__
string
__index_level_6__
string
__index_level_7__
string
single_gpu
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
solution_time
null
0
-8281.3505859375
0.13846230506896973
null
null
null
null
null
null
1
-8234.92578125
0.002872943878173828
null
null
null
null
null
null
2
-8309.8125
0.0017688274383544922
null
null
null
null
null
null
3
-8463.216796875
0.0014548301696777344
null
null
null
null
null
null
4
-8629.0009765625
0.0017344951629638672
null
null
null
null
null
null
5
-8779.7041015625
0.0017209053039550781
null
null
null
null
null
null
6
-8908.9189453125
0.0017006397247314453
null
null
null
null
null
null
7
-9015.2236328125
0.001669168472290039
null
null
null
null
null
null
8
-9106.3408203125
0.001600027084350586
null
null
null
null
null
null
9
-9183.162109375
0.0014944076538085938
null
null
null
null
null
True
null
null
null
0.011605024337768555
0.1544785499572754
null
0.004090785980224609
null
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
solution_time
null
0
-26268.5390625
0.13968968391418457
null
null
null
null
null
null
1
-26582.63671875
0.002361297607421875
null
null
null
null
null
null
2
-26949.384765625
0.001783132553100586
null
null
null
null
null
null
3
-27345.271484375
0.0016636848449707031
null
null
null
null
null
null
4
-27723.84375
0.001722574234008789
null
null
null
null
null
null
5
-28090.578125
0.0017592906951904297
null
null
null
null
null
null
6
-28448.830078125
0.0014796257019042969
null
null
null
null
null
null
7
-28806.609375
0.0017299652099609375
null
null
null
null
null
null
8
-29156.7734375
0.001638174057006836
null
null
null
null
null
null
9
-29477.08984375
0.0017054080963134766
null
null
null
null
null
null
null
null
null
0.01271200180053711
0.1555328369140625
null
0.004296302795410156
null
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
solution_time
null
0
-6844.8564453125
0.14051413536071777
null
null
null
null
null
null
1
-7525.51220703125
0.002599000930786133
null
null
null
null
null
null
2
-7580.38818359375
0.0014541149139404297
null
null
null
null
null
null
3
-7560.17529296875
0.001712799072265625
null
null
null
null
null
null
4
-7546.04052734375
0.0016624927520751953
null
null
null
null
null
null
5
-7540.6435546875
0.0015587806701660156
null
null
null
null
null
null
6
-7541.3525390625
0.0016875267028808594
null
null
null
null
null
null
7
-7545.6162109375
0.001726388931274414
null
null
null
null
null
null
8
-7552.1455078125
0.0015339851379394531
null
null
null
null
null
null
9
-7560.46630859375
0.0016341209411621094
null
null
null
null
null
null
null
null
null
0.013097524642944336
0.156083345413208
null
0.004022359848022461
null
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
solution_time
null
0
-72613.96875
0.1426849365234375
null
null
null
null
null
null
1
-74187.96875
0.0023877620697021484
null
null
null
null
null
null
2
-75087.5390625
0.0018432140350341797
null
null
null
null
null
null
3
-76051.5234375
0.0018050670623779297
null
null
null
null
null
null
4
-77018.3046875
0.001672983169555664
null
null
null
null
null
null
5
-77967.4609375
0.003303050994873047
null
null
null
null
null
null
6
-78839.3515625
0.0018241405487060547
null
null
null
null
null
null
7
-79636.625
0.0015342235565185547
null
null
null
null
null
null
8
-80373.46875
0.0017938613891601562
null
null
null
null
null
null
9
-81020.03125
0.0017740726470947266
null
null
null
null
null
null
null
null
null
0.015077590942382812
0.16062331199645996
null
0.005725383758544922
null
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
solution_time
null
0
-8391.9833984375
0.1400895118713379
null
null
null
null
null
null
1
-8420.599609375
0.002585172653198242
null
null
null
null
null
null
2
-8468.1982421875
0.0015721321105957031
null
null
null
null
null
null
3
-8536.2353515625
0.0017511844635009766
null
null
null
null
null
null
4
-8613.98828125
0.0017406940460205078
null
null
null
null
null
null
5
-8695.3037109375
0.001725912094116211
null
null
null
null
null
null
6
-8775.48828125
0.0015113353729248047
null
null
null
null
null
null
7
-8848.41796875
0.0017058849334716797
null
null
null
null
null
null
8
-8917.9755859375
0.0017201900482177734
null
null
null
null
null
null
9
-8982.291015625
0.001714468002319336
null
null
null
null
null
null
null
null
null
0.012308835983276367
0.15611648559570312
null
0.004069805145263672
null
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
solution_time
null
0
-7472.2744140625
0.13906240463256836
null
null
null
null
null
null
1
-7498.357421875
0.0025472640991210938
null
null
null
null
null
null
2
-7543.6845703125
0.0017173290252685547
null
null
null
null
null
null
3
-7605.6513671875
0.0017108917236328125
null
null
null
null
null
null
4
-7675.9755859375
0.001741170883178711
null
null
null
null
null
null
5
-7746.87646484375
0.0016338825225830078
null
null
null
null
null
null
6
-7818.92626953125
0.0016939640045166016
null
null
null
null
null
null
7
-7884.16943359375
0.0015056133270263672
null
null
null
null
null
null
8
-7945.8994140625
0.001531839370727539
null
null
null
null
null
null
9
-8002.8505859375
0.0015041828155517578
null
null
null
null
null
null
null
null
null
0.01317906379699707
0.1546485424041748
null
0.0034842491149902344
null
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
solution_time
null
0
-5314.0400390625
0.13893651962280273
null
null
null
null
null
null
1
-5882.775390625
0.002435445785522461
null
null
null
null
null
null
2
-6099.26953125
0.0017642974853515625
null
null
null
null
null
null
3
-6183.654296875
0.0017154216766357422
null
null
null
null
null
null
4
-6235.1083984375
0.001764059066772461
null
null
null
null
null
null
5
-6270.51806640625
0.0017142295837402344
null
null
null
null
null
null
6
-6299.75341796875
0.0015213489532470703
null
null
null
null
null
null
7
-6324.63623046875
0.001729726791381836
null
null
null
null
null
null
8
-6344.8232421875
0.001688241958618164
null
null
null
null
null
null
9
-6362.8173828125
0.001497030258178711
null
null
null
null
null
null
null
null
null
0.012258052825927734
0.15476632118225098
null
0.004035234451293945
null
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
solution_time
null
0
-5315.63720703125
0.13781142234802246
null
null
null
null
null
null
1
-5876.93017578125
0.002619028091430664
null
null
null
null
null
null
2
-6092.7060546875
0.001458883285522461
null
null
null
null
null
null
3
-6180.59033203125
0.0017168521881103516
null
null
null
null
null
null
4
-6230.775390625
0.0016489028930664062
null
null
null
null
null
null
5
-6266.95751953125
0.0015227794647216797
null
null
null
null
null
null
6
-6296.58642578125
0.0016908645629882812
null
null
null
null
null
null
7
-6321.01123046875
0.0016376972198486328
null
null
null
null
null
null
8
-6341.15234375
0.0016384124755859375
null
null
null
null
null
null
9
-6359.47412109375
0.0016949176788330078
null
null
null
null
null
null
null
null
null
0.012318134307861328
0.15343976020812988
null
0.004001140594482422
null
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
solution_time
null
0
-6846.88134765625
0.1372053623199463
null
null
null
null
null
null
1
-7525.6435546875
0.0025010108947753906
null
null
null
null
null
null
2
-7579.951171875
0.0015289783477783203
null
null
null
null
null
End of preview.
README.md exists but content is empty.
Downloads last month
154