Datasets:

sroy2209
/

term-deposit-logs

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Split (1)

train

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Float value nan was truncated converting to int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Float value nan was truncated converting to int64
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1392, 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 1041, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1740, 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 1896, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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Age float64	Duration(Sec) int64	CC Contact Freq int64	Days Since PC int64	PC Contact Freq int64	Job string	Marital Status string	Education string	Defaulter string	Home Loan string	Personal Loan string	Communication Type string	Last Month Contacted string	Day of Week string	PC Outcome string	prediction int64
10	10	10	10	10	blue-collar	single	professional.course	yes	no	unknown	telephone	sep	tue	failure	0
2	2	1	1	1	blue-collar	single	professional.course	unknown	yes	yes	telephone	sep	fri	failure	0
3	3	3	3	3	admin.	married	experience	yes	yes	yes	cellular	may	thu	success	0
44	92	3	0	1	blue-collar	married	experience	no	no	no	cellular	apr	mon	failure	0
40	74	8	0	1	services	married	high school	no	no	no	cellular	may	tue	failure	0
59	383	2	0	2	services	married	university degree	no	yes	no	cellular	oct	mon	failure	0
40	63	3	0	0	self-employed	married	university degree	unknown	no	no	telephone	may	mon	nonexistent	0
42	127	1	0	0	admin.	married	university degree	no	yes	no	cellular	aug	wed	nonexistent	0
27	66	1	0	0	blue-collar	married	experience	no	yes	no	cellular	jul	tue	nonexistent	0
47	676	4	0	0	services	married	experience	no	yes	no	cellular	aug	thu	nonexistent	0
32	66	7	0	0	admin.	married	university degree	no	yes	no	telephone	aug	tue	nonexistent	0
36	277	1	0	0	admin.	single	high school	no	yes	yes	cellular	may	thu	nonexistent	0
39	5	2	0	0	services	married	high school	unknown	no	no	telephone	may	mon	nonexistent	0
48	276	2	0	1	blue-collar	married	experience	no	no	yes	cellular	may	tue	failure	0
50	20	3	0	0	admin.	married	high school	no	no	no	cellular	aug	mon	nonexistent	0
38	35	6	0	0	admin.	married	university degree	no	yes	no	cellular	aug	tue	nonexistent	0
50	193	2	0	0	blue-collar	married	experience	unknown	unknown	unknown	telephone	may	fri	nonexistent	0
36	141	1	0	0	admin.	married	university degree	no	yes	no	telephone	jun	mon	nonexistent	0
44	126	1	0	0	admin.	married	high school	no	no	no	cellular	aug	mon	nonexistent	0
49	108	1	0	0	blue-collar	married	high school	unknown	yes	no	cellular	nov	mon	nonexistent	0
29	219	2	0	0	blue-collar	married	experience	no	no	no	cellular	nov	wed	nonexistent	0
29	1,555	2	0	0	technician	single	professional.course	no	yes	no	cellular	nov	fri	nonexistent	1
39	209	3	0	0	technician	married	professional.course	no	yes	no	cellular	aug	mon	nonexistent	0
48	122	5	0	0	blue-collar	married	experience	no	yes	no	cellular	jul	mon	nonexistent	0
31	187	2	0	0	blue-collar	single	high school	unknown	yes	no	telephone	jun	tue	nonexistent	0
31	173	1	0	0	admin.	married	university degree	no	yes	yes	cellular	may	mon	nonexistent	0
34	151	3	0	0	unknown	married	experience	no	no	no	telephone	apr	mon	nonexistent	0
59	39	1	0	0	technician	divorced	university degree	no	no	no	cellular	jul	mon	nonexistent	0
46	417	2	0	2	services	married	high school	no	yes	no	cellular	apr	wed	failure	0
38	50	2	0	0	technician	married	professional.course	no	yes	yes	cellular	jul	fri	nonexistent	0
52	190	1	0	0	services	divorced	high school	unknown	no	no	cellular	nov	mon	nonexistent	0
98	272	2	0	0	retired	married	experience	unknown	yes	no	cellular	oct	fri	nonexistent	0
24	65	1	0	2	student	single	high school	no	no	no	cellular	aug	fri	failure	0
38	46	2	0	0	technician	married	professional.course	no	yes	no	telephone	may	fri	nonexistent	0
33	199	1	0	0	blue-collar	married	experience	no	no	no	cellular	jul	mon	nonexistent	0
24	452	1	14	1	admin.	single	high school	no	no	no	cellular	jul	mon	success	1
32	489	5	0	0	blue-collar	married	experience	no	no	no	telephone	jun	wed	nonexistent	0
42	230	2	0	0	admin.	married	professional.course	no	no	no	telephone	may	wed	nonexistent	0
34	28	5	0	0	admin.	single	experience	no	no	no	cellular	apr	mon	nonexistent	0
49	71	1	0	0	admin.	married	high school	unknown	yes	no	cellular	jul	thu	nonexistent	0
31	168	1	0	0	entrepreneur	married	high school	no	yes	no	telephone	may	thu	nonexistent	0
26	123	3	0	0	admin.	single	high school	no	no	no	cellular	apr	mon	nonexistent	0
39	316	1	0	0	technician	divorced	professional.course	no	yes	no	cellular	aug	mon	nonexistent	0
26	223	3	0	1	student	single	high school	no	yes	no	cellular	may	wed	failure	0
33	217	2	0	0	admin.	married	university degree	no	yes	no	telephone	sep	thu	nonexistent	0
41	263	1	0	0	unemployed	married	experience	no	yes	no	cellular	apr	mon	nonexistent	0
59	203	1	4	1	admin.	divorced	professional.course	no	unknown	unknown	cellular	aug	tue	success	0
38	97	6	0	0	blue-collar	single	experience	unknown	yes	no	telephone	jun	mon	nonexistent	0
39	105	11	0	0	admin.	married	university degree	no	no	no	telephone	jun	mon	nonexistent	0
60	110	2	0	0	retired	married	experience	no	unknown	unknown	cellular	jun	fri	nonexistent	0
44	177	1	0	0	admin.	married	high school	no	yes	yes	telephone	may	tue	nonexistent	0
33	162	1	0	1	admin.	single	high school	no	yes	no	cellular	may	wed	failure	0
50	50	3	0	0	technician	married	high school	no	yes	no	cellular	aug	thu	nonexistent	0
29	342	2	0	0	management	single	university degree	no	no	no	telephone	jun	tue	nonexistent	0
41	191	1	0	0	technician	divorced	university degree	no	yes	no	cellular	aug	fri	nonexistent	0
34	85	2	0	0	technician	married	university degree	no	no	no	cellular	jul	thu	nonexistent	0
39	583	6	0	0	admin.	married	university degree	no	no	no	telephone	may	mon	nonexistent	0
31	911	1	2	1	technician	single	university degree	no	no	no	cellular	may	tue	success	1
66	222	3	6	2	admin.	divorced	university degree	no	yes	no	cellular	aug	wed	success	1
45	157	3	0	0	admin.	married	university degree	no	yes	yes	telephone	may	mon	nonexistent	0
30	97	2	0	0	services	single	high school	no	yes	no	telephone	may	thu	nonexistent	0
44	188	2	0	0	technician	married	professional.course	no	yes	no	cellular	jul	wed	nonexistent	0
48	377	5	0	1	management	married	university degree	no	yes	no	cellular	dec	fri	failure	0
28	135	1	0	0	services	married	Others	no	no	yes	telephone	may	fri	nonexistent	0
37	118	1	0	0	blue-collar	married	high school	no	no	no	cellular	nov	tue	nonexistent	0
54	238	1	0	0	admin.	married	experience	no	no	no	cellular	nov	mon	nonexistent	0
41	79	8	0	0	technician	single	university degree	unknown	no	no	telephone	may	wed	nonexistent	0
40	143	3	0	1	unemployed	married	experience	no	no	no	cellular	jun	mon	failure	0
28	196	1	0	0	technician	single	professional.course	no	yes	yes	cellular	may	wed	nonexistent	0
32	322	4	0	0	blue-collar	married	experience	no	no	no	cellular	nov	thu	nonexistent	0
56	1,066	2	0	0	retired	married	professional.course	no	yes	no	cellular	jul	wed	nonexistent	1
34	303	1	0	1	admin.	single	high school	no	no	no	cellular	nov	mon	failure	0
30	73	1	0	1	services	married	high school	unknown	yes	no	cellular	nov	thu	failure	0
37	122	2	6	1	unemployed	single	university degree	no	yes	no	cellular	jun	thu	success	1
31	197	1	0	1	blue-collar	single	high school	no	yes	no	cellular	may	fri	failure	0
34	119	3	0	0	technician	single	high school	no	yes	no	cellular	aug	mon	nonexistent	0
40	30	4	0	0	housemaid	married	experience	unknown	yes	no	telephone	jun	fri	nonexistent	0
57	315	1	0	0	technician	married	high school	no	no	no	telephone	may	wed	nonexistent	0
44	143	1	0	0	admin.	single	university degree	no	no	yes	telephone	jun	tue	nonexistent	0
48	175	1	0	0	self-employed	married	high school	no	yes	no	cellular	aug	fri	nonexistent	0
32	55	2	0	0	admin.	single	university degree	no	unknown	unknown	cellular	jul	mon	nonexistent	0
59	152	2	0	0	blue-collar	married	experience	unknown	yes	no	cellular	aug	thu	nonexistent	0
30	72	5	0	0	management	married	university degree	no	no	no	cellular	nov	wed	nonexistent	0
39	514	5	0	0	admin.	married	high school	unknown	yes	no	telephone	may	tue	nonexistent	0
39	249	2	0	0	admin.	married	experience	no	yes	no	telephone	may	wed	nonexistent	0
43	81	2	0	0	housemaid	married	experience	no	no	no	telephone	jul	tue	nonexistent	0
41	12	8	0	1	blue-collar	married	experience	unknown	yes	no	cellular	may	mon	failure	0
23	158	1	0	1	blue-collar	single	high school	no	yes	no	cellular	may	mon	failure	0
44	363	7	0	0	technician	married	high school	no	yes	no	telephone	may	fri	nonexistent	0
58	498	1	0	0	blue-collar	married	experience	no	no	no	cellular	aug	mon	nonexistent	0
92	370	1	3	4	retired	married	Others	no	no	yes	cellular	aug	wed	success	1
28	125	1	0	0	blue-collar	divorced	experience	no	yes	yes	cellular	jul	mon	nonexistent	0
40	381	2	0	0	blue-collar	married	experience	no	yes	no	telephone	may	tue	nonexistent	0
37	1,376	2	0	0	admin.	married	university degree	no	no	no	telephone	may	tue	nonexistent	1
33	133	2	0	0	services	married	experience	unknown	yes	no	cellular	jul	wed	nonexistent	0
47	72	1	0	0	technician	married	experience	no	no	no	telephone	jun	fri	nonexistent	0
33	398	2	0	0	blue-collar	divorced	experience	unknown	no	no	telephone	jun	fri	nonexistent	0
30	202	3	0	0	technician	single	high school	no	yes	no	cellular	may	wed	nonexistent	0
58	477	1	0	0	retired	married	high school	no	no	no	cellular	nov	thu	nonexistent	0
25	44	4	0	0	technician	single	professional.course	no	yes	no	cellular	may	mon	nonexistent	0

End of preview.