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: 974.4465761184692'}) and 1 missing columns ({'# parsing_time: 1143.6120555400848'}).

This happened while the csv dataset builder was generating data using

hf://datasets/cportner/sat_2024_autobatch_2/812926407774771b3bd9885f7bfa4841-lru_9.sanitized/results_3SAT/time_log.csv (at revision 7e15fa3b0b2e9c4a7472f9572d3bb582dec0bf3c)

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: 974.4465761184692: 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
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__", "__index_level_1__", "__' + 1338
              to
              {'# parsing_time: 1143.6120555400848': 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')}
              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: 974.4465761184692'}) and 1 missing columns ({'# parsing_time: 1143.6120555400848'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/cportner/sat_2024_autobatch_2/812926407774771b3bd9885f7bfa4841-lru_9.sanitized/results_3SAT/time_log.csv (at revision 7e15fa3b0b2e9c4a7472f9572d3bb582dec0bf3c)
              
              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: 1143.6120555400848
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
solution_time
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
null
213
-174808622.0
112.51245307922363
null
null
null
null
null
427
-184978714.375
112.43143367767334
null
null
null
null
null
641
-190796360.6875
112.43487286567688
null
null
null
null
null
855
-195094712.6875
112.41738152503967
null
null
null
null
null
1069
-198730198.25
112.41430926322937
null
null
null
null
null
1283
-201925544.0625
112.40485787391663
null
null
null
null
null
1497
-204637791.125
112.40936493873596
null
null
null
null
null
1711
-206765759.3125
112.41366958618164
null
null
null
null
null
1925
-208345510.9375
112.41433119773865
null
null
null
null
null
2139
-209479172.1875
112.40501189231873
null
null
null
null
null
null
null
null
20.14111590385437
1124.2576858997345
null
0.7766804695129395
solution_time
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
null
249
-174831296.375
116.64186477661133
null
null
null
null
null
499
-184979162.375
116.5079391002655
null
null
null
null
null
749
-190785919.875
116.51517510414124
null
null
null
null
null
999
-195078989.6875
116.54234576225281
null
null
null
null
null
1249
-198706496.9375
116.53670382499695
null
null
null
null
null
1499
-201899268.5
116.52318835258484
null
null
null
null
null
1749
-204588866.1875
116.52953791618347
null
null
null
null
null
1999
-206709026.375
116.5193943977356
null
null
null
null
null
2249
-208272464.875
116.52648448944092
null
null
null
null
null
2499
-209391291.75
116.51659846305847
null
null
null
null
null
null
null
null
15.556237697601318
1165.3592321872711
null
1.4543511867523193
solution_time
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
null
249
-174831296.375
116.64021849632263
null
null
null
null
null
499
-184979162.375
116.52897119522095
null
null
null
null
null
749
-190785920.0
116.54371213912964
null
null
null
null
null
999
-195078989.6875
116.53390407562256
null
null
null
null
null
1249
-198706496.8125
116.5261058807373
null
null
null
null
null
1499
-201899268.6875
116.5255663394928
null
null
null
null
null
1749
-204588866.3125
116.52268385887146
null
null
null
null
null
1999
-206709026.25
116.51743865013123
null
null
null
null
null
2249
-208272464.5
116.53863143920898
null
null
null
null
null
2499
-209391291.6875
116.5236394405365
null
null
null
null
null
null
null
null
8.954613208770752
1165.400871515274
null
1.5465493202209473
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
null
135
-81356026.5625
63.858227252960205
null
null
null
null
null
271
-87993706.5
63.82602024078369
null
null
null
null
null
407
-90427405.625
63.79631423950195
null
null
null
null
null
543
-91627557.5625
63.780256032943726
null
null
null
null
null
679
-92620944.625
63.77283501625061
null
null
null
null
null
815
-93583706.625
63.77059578895569
null
null
null
null
null
951
-94485208.5625
63.764002084732056
null
null
null
null
null
1087
-95291830.5
63.76306343078613
null
null
null
null
null
1223
-95979870.375
63.7609429359436
null
null
null
null
null
1359
-96552371.5
63.78213047981262
null
null
null
null
null
null
null
null
16.484110593795776
637.8743875026703
null
0.43592071533203125
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
null
149
-81353792.0625
64.33754777908325
null
null
null
null
null
299
-87998122.625
64.20878148078918
null
null
null
null
null
449
-90438420.5625
64.19235968589783
null
null
null
null
null
599
-91635400.1875
64.17941236495972
null
null
null
null
null
749
-92634304.75
64.17075514793396
null
null
null
null
null
899
-93587205.625
64.16603541374207
null
null
null
null
null
1049
-94497666.625
64.16897940635681
null
null
null
null
null
1199
-95298160.0
64.16899919509888
null
null
null
null
null
1349
-95983127.875
64.16557955741882
null
null
null
null
null
1499
-96553960.4375
64.16973638534546
null
null
null
null
null
null
null
null
11.275834321975708
641.928186416626
null
0.8269522190093994
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
null
149
-81353792.0625
64.28693461418152
null
null
null
null
null
299
-87998122.625
64.20619773864746
null
null
null
null
null
449
-90438420.5625
64.18484830856323
null
null
null
null
null
599
-91635400.1875
64.1698911190033
null
null
null
null
null
749
-92634304.75
64.1544189453125
null
null
null
null
null
899
-93587205.625
64.15514802932739
null
null
null
null
null
1049
-94497666.625
64.15283012390137
null
null
null
null
null
1199
-95298160.0
64.15893530845642
null
null
null
null
null
1349
-95983127.875
64.16825294494629
null
null
null
null
null
1499
-96553960.4375
64.16964173316956
null
null
null
null
null
null
null
null
7.250579595565796
641.807098865509
null
0.8844654560089111
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
null
165
-81356427.78125
80.32906126976013
null
null
null
null
null
331
-87925257.1875
80.23929953575134
null
null
null
null
null
497
-90127508.875
80.22952556610107
null
null
null
null
null
663
-91038774.25
80.22472381591797
null
null
null
null
null
829
-91727775.6875
80.20614123344421
null
null
null
null
null
995
-92422860.8125
80.20476984977722
null
null
null
null
null
1161
-93176019.5625
80.19804549217224
null
null
null
null
null
1327
-93993378.875
80.19583439826965
null
null
null
null
null
1493
-94822367.0625
80.20049595832825
null
null
null
null
null
1659
-95622921.125
80.20320320129395
null
null
null
null
null
null
null
null
19.070817470550537
802.231100320816
null
0.4775552749633789
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
null
249
-81358976.28125
88.69561409950256
null
null
null
null
null
499
-87926783.4375
88.46206259727478
null
null
null
null
null
749
-90133238.21875
88.44850564002991
null
null
null
null
null
999
-91039669.875
88.43811631202698
null
null
null
null
null
1249
-91720513.59375
88.44202470779419
null
null
null
null
null
1499
-92408458.21875
88.45353198051453
null
null
null
null
null
1749
-93161473.0625
88.44430899620056
null
null
null
null
null
1999
-93969453.125
88.44680523872375
null
null
null
null
null
2249
-94792947.21875
88.4475405216217
null
null
null
null
null
2499
-95586035.84375
88.44738721847534
null
null
null
null
null
null
null
null
13.680600881576538
884.7258973121643
null
0.8106989860534668
null
epoch
loss
training_time
load_time
total_training_time
log_time
saving_result_time
null
186
-81345817.53125
94.10504698753357
null
null
null
null
null
373
-87873223.53125
93.97586345672607
null
null
null
null
null
560
-90040917.21875
93.95020747184753
null
null
null
null
End of preview.
README.md exists but content is empty.
Downloads last month
1,921