Datasets:

kevinson1215
/

Prophecy

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train

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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'Canada' as a scalar of type double
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 2223, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2224, 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 2086, 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: Failed to parse string: 'Canada' as a scalar of type double
              
              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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 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 1858, 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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primaryid int64	sex string	age_in_days float64	wt_in_kgs float64	occr_country null	event_dt float64	occp_cod string	reporter_country string	rept_cod string	init_fda_dt float64	fda_dt int64	premarketing bool	literature bool	RB_duplicates bool	RB_duplicates_only_susp bool
45,217,461	M	9,855	null	null	19,861,106	MD	United States of America	DIR	19,861,224	19,861,224	false	false	false	false
57,910,401	null	null	null	null	null	null	United States of America	DIR	19,920,917	19,920,917	false	false	false	false
56,962,401	null	null	null	null	19,960,123	null	United States of America	DIR	19,960,126	19,960,126	false	false	false	false
54,662,121	F	22,630	null	null	19,960,919	CN	South Africa, Republic of	EXP	19,961,022	19,961,022	false	false	false	false
31,231,172	F	21,535	68	null	19,970,927	MD	United States of America	EXP	19,971,203	19,971,212	false	false	false	false
30,307,871	F	null	null	null	19,980,220	PH	United States of America	DIR	19,980,501	19,980,501	false	false	false	false
31,273,651	M	13,140	null	null	19,980,605	HP	Australia, Commonwealth of	EXP	19,980,626	19,980,626	true	false	false	false
32,427,281	F	16,790	91	null	19,971,220	CN	United States of America	PER	19,980,708	19,980,708	false	false	false	false
37,847,331	F	26,280	73	null	19,981,020	PH	United States of America	EXP	19,981,218	19,981,218	false	false	false	false
32,030,921	F	12,410	54	null	19,960,816	null	Germany, Federal Republic of	EXP	19,990,202	19,990,202	false	false	false	false
32,138,152	F	28,835	63	null	19,950,202	HP	Germany, Federal Republic of	EXP	19,970,813	19,990,218	false	false	false	false
53,633,692	F	24,820	null	null	199,509	null	United States of America	PER	19,960,209	19,990,301	false	false	false	false
32,077,533	F	14,965	null	null	19,981,120	PH	United States of America	EXP	19,981,210	19,990,302	false	false	false	false
32,077,683	F	6,205	null	null	19,980,908	PH	United States of America	EXP	19,981,210	19,990,302	false	false	false	false
32,223,462	M	6,205	64	null	19,981,206	PH	United States of America	EXP	19,981,228	19,990,308	false	false	false	false
41,860,621	F	12,410	null	null	19,990,105	HP	Germany, Federal Republic of	EXP	19,990,308	19,990,308	false	false	false	false
32,908,311	M	21,900	null	null	19,990,523	MD	Egypt, Arab Republic of	EXP	19,990,616	19,990,616	false	false	false	false
33,069,461	M	12,775	66	null	199,903	CN	United States of America	EXP	19,990,713	19,990,713	false	false	false	false
32,545,282	M	20,440	null	null	19,990,105	MD	United States of America	PER	19,990,415	19,990,715	false	false	false	false
33,116,181	M	27,375	91	null	19,990,508	PH	United States of America	PER	19,990,715	19,990,715	false	false	false	false
33,189,951	F	25,550	null	null	19,990,618	MD	United States of America	EXP	19,990,730	19,990,730	false	false	false	false
33,249,531	F	18,980	49	null	19,990,422	PH	United States of America	DIR	19,990,810	19,990,810	false	false	false	false
32,927,213	M	10,220	65	null	19,990,530	MD	Germany, Federal Republic of	EXP	19,990,621	19,990,811	false	false	false	false
33,576,892	F	7,300	60	null	null	MD	France, French Republic	EXP	19,961,029	19,990,924	false	false	false	false
33,914,632	F	30,295	73	null	19,990,605	null	United States of America	EXP	19,991,123	19,991,126	false	false	false	false
34,331,911	M	28,470	52	null	19,991,116	HP	France, French Republic	EXP	20,000,209	20,000,209	false	false	false	false
57,697,232	M	22,630	60	null	19,980,418	null	Germany, Federal Republic of	EXP	19,990,701	20,000,301	false	false	false	false
34,460,354	M	null	null	null	null	null	Ireland	EXP	20,000,317	20,000,728	false	false	false	false
66,685,672	F	12,410	54	null	19,960,819	MD	Germany, Federal Republic of	EXP	19,990,119	20,001,115	false	false	false	false
35,653,763	F	23,725	null	null	20,000,824	CN	null	EXP	20,001,102	20,001,122	false	false	false	false
35,750,711	null	null	null	null	null	PH	United States of America	DIR	20,001,128	20,001,128	false	false	false	false
35,764,423	M	28,470	52	null	19,991,116	HP	France, French Republic	EXP	20,000,218	20,001,128	false	false	false	false
36,299,761	M	null	null	null	20,010,310	PH	United Kingdom of Great Britain & Northern Ireland	EXP	20,010,326	20,010,326	false	false	false	false
39,884,842	F	28,470	47	null	20,010,226	null	France, French Republic	EXP	20,010,404	20,010,418	false	false	false	false
61,584,552	M	18,250	null	null	20,010,310	PH	United Kingdom of Great Britain & Northern Ireland	EXP	20,010,417	20,010,418	false	false	false	false
37,225,011	null	null	null	null	20,011,015	PH	United States of America	DIR	20,011,015	20,011,015	false	false	false	false
37,293,841	M	33,580	null	null	null	CN	United States of America	EXP	20,011,029	20,011,029	false	false	false	false
37,209,972	M	8,395	80	null	20,010,913	MD	Australia, Commonwealth of	EXP	20,011,005	20,011,107	false	false	false	false
80,351,361	M	7,665	60	null	20,001,222	MD	Germany, Federal Republic of	EXP	20,011,228	20,011,228	false	false	false	false
37,592,244	F	8,030	92	null	19,990,321	LW	United States of America	EXP	20,020,129	20,020,321	false	false	false	false
32,976,884	M	25,915	null	null	19,990,109	MD	Switzerland, Swiss Confederation	EXP	19,990,625	20,020,410	false	false	false	false
36,317,988	F	13,870	43	null	null	null	France, French Republic	EXP	20,010,405	20,020,501	false	false	false	false
38,131,791	M	29,930	null	null	20,020,520	null	Japan	EXP	20,020,628	20,020,628	false	false	false	false
38,675,501	F	10,585	54	null	20,020,923	HP	United States of America	DIR	20,021,119	20,021,119	false	false	false	false
66,877,291	M	25,915	null	null	200,207	MD	Canada	EXP	20,030,306	20,030,306	false	false	false	false
39,497,921	M	28,105	88	null	20,030,520	PH	United States of America	DIR	20,030,521	20,030,521	false	false	false	false
39,666,531	F	7,300	52	null	20,030,529	HP	United States of America	DIR	20,030,701	20,030,701	false	false	false	false
39,306,567	F	14,965	79	null	19,980,629	MD	United States of America	EXP	20,030,402	20,030,902	false	false	false	false
40,054,651	F	16,060	56	null	200,006	MD	United States of America	EXP	20,030,910	20,030,910	false	false	false	false
4,204,616	F	7,665	null	null	20,030,815	MD	null	EXP	null	20,031,006	false	false	false	false
4,214,534	F	16,425	null	null	20,010,101	MD	null	EXP	null	20,031,017	false	false	false	false
4,223,542	M	7,300	null	null	20,021,028	MD	null	EXP	null	20,031,029	false	false	false	false
4,266,082	F	32,120	66	null	20,030,603	PH	null	PER	null	20,031,125	false	false	false	false
4,250,482	null	null	null	null	null	MD	null	EXP	null	20,031,210	false	false	false	false
39,876,187	F	25,550	null	null	20,030,528	MD	Japan	EXP	20,030,806	20,031,211	false	false	false	false
40,456,612	F	21,535	null	null	20,030,927	HP	France, French Republic	EXP	20,031,209	20,031,212	false	false	false	false
40,558,331	null	null	null	null	null	PH	United States of America	DIR	20,031,229	20,031,229	false	false	true	true
4,280,585	null	null	null	null	20,030,101	MD	null	EXP	null	20,040,101	false	false	false	false
4,261,823	M	21,900	null	null	20,030,604	OT	null	EXP	null	20,040,102	false	false	false	false
4,261,824	M	20,440	null	null	20,031,111	OT	null	EXP	null	20,040,102	false	false	false	false
4,261,825	M	21,170	null	null	20,031,114	OT	null	EXP	null	20,040,102	false	false	false	false
4,261,827	F	null	null	null	20,031,122	OT	null	EXP	null	20,040,102	false	false	false	false
4,261,863	F	null	null	null	20,030,917	MD	null	EXP	null	20,040,102	false	false	false	false
4,261,865	M	17,520	null	null	20,020,401	OT	null	EXP	null	20,040,102	false	false	false	false
4,261,870	M	0	null	null	20,010,101	null	null	EXP	null	20,040,102	false	false	false	false
4,261,871	F	28,835	null	null	20,030,901	null	null	EXP	null	20,040,102	false	false	false	false
4,261,878	M	null	null	null	20,030,327	MD	null	EXP	null	20,040,102	false	false	false	false
4,261,879	F	null	54	null	20,030,401	MD	null	EXP	null	20,040,102	false	false	false	false
4,261,986	F	null	null	null	null	OT	null	EXP	null	20,040,102	false	false	false	false
4,261,987	null	null	null	null	null	OT	null	EXP	null	20,040,102	false	false	false	false
4,261,996	M	18,615	null	null	20,031,202	null	null	EXP	null	20,040,102	false	false	false	false
4,262,055	M	730	null	null	20,031,229	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,057	F	32,485	null	null	20,030,803	MD	null	EXP	null	20,040,102	false	false	false	false
4,262,058	M	32,120	46	null	20,030,902	MD	null	EXP	null	20,040,102	false	false	false	false
4,262,059	F	7,300	null	null	20,030,918	MD	null	EXP	null	20,040,102	false	false	false	false
4,262,060	M	23,360	null	null	20,031,001	MD	null	EXP	null	20,040,102	false	false	false	false
4,262,061	M	null	null	null	null	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,062	M	23,725	null	null	20,031,213	MD	null	EXP	null	20,040,102	false	false	false	false
4,262,066	F	17,155	null	null	null	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,067	F	14,965	null	null	null	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,072	F	null	null	null	null	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,073	M	15,695	null	null	20,020,922	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,074	F	null	null	null	null	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,075	F	null	null	null	null	PH	null	EXP	null	20,040,102	false	false	false	false
4,262,076	M	1,095	null	null	null	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,077	F	28,105	60	null	20,031,212	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,079	M	23,360	null	null	null	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,080	F	29,200	null	null	20,030,101	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,084	M	14,965	null	null	20,030,501	PH	null	EXP	null	20,040,102	false	false	false	false
4,262,085	F	7,665	null	null	20,020,621	MD	null	EXP	null	20,040,102	false	false	false	false
4,262,088	F	16,425	75	null	20,030,529	MD	null	EXP	null	20,040,102	false	false	false	false
4,262,117	F	25,915	null	null	20,031,206	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,186	F	29,200	null	null	20,031,105	OT	null	EXP	null	20,040,102	false	false	false	false
4,262,188	M	23,360	null	null	19,990,823	OT	null	EXP	null	20,040,102	false	false	false	false
4,262,194	F	31,025	null	null	20,021,208	OT	null	EXP	null	20,040,102	false	false	false	false
4,262,195	F	28,470	62	null	20,030,818	MD	null	EXP	null	20,040,102	false	false	false	false
4,262,228	F	26,645	60	null	20,030,505	MD	null	EXP	null	20,040,102	false	false	false	false
4,262,231	F	21,535	null	null	20,030,201	MD	null	EXP	null	20,040,102	false	false	false	false
4,262,233	M	null	null	null	null	CN	null	EXP	null	20,040,102	false	false	false	false
4,262,234	M	null	null	null	20,031,216	MD	null	EXP	null	20,040,102	false	false	false	false

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