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anderdnavarro
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OncoGAN-training_files

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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 2 new columns ({'SBS19', 'SBS23'}) and 5 missing columns ({'SBS3', 'TNP', 'SBS18', 'SBS13', 'SBS2'}).

This happened while the csv dataset builder was generating data using

hf://datasets/anderdnavarro/OncoGAN-training_files/donor_characteristics/CNS-PiloAstro_counts.csv (at revision b680fa0b3449298fd4fa5f3d3dbceb0db75571b3)

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 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 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              DEL: int64
              INS: int64
              DNP: int64
              SBS1: int64
              SBS5: int64
              SBS8: int64
              SBS19: int64
              SBS23: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1098
              to
              {'DEL': Value(dtype='int64', id=None), 'DNP': Value(dtype='int64', id=None), 'INS': Value(dtype='int64', id=None), 'TNP': Value(dtype='int64', id=None), 'SBS1': Value(dtype='int64', id=None), 'SBS2': Value(dtype='int64', id=None), 'SBS3': Value(dtype='int64', id=None), 'SBS5': Value(dtype='int64', id=None), 'SBS8': Value(dtype='int64', id=None), 'SBS13': Value(dtype='int64', id=None), 'SBS18': Value(dtype='int64', id=None)}
              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 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 1871, 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 2 new columns ({'SBS19', 'SBS23'}) and 5 missing columns ({'SBS3', 'TNP', 'SBS18', 'SBS13', 'SBS2'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/anderdnavarro/OncoGAN-training_files/donor_characteristics/CNS-PiloAstro_counts.csv (at revision b680fa0b3449298fd4fa5f3d3dbceb0db75571b3)
              
              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.

DEL int64	DNP int64	INS int64	TNP int64	SBS1 int64	SBS2 int64	SBS3 int64	SBS5 int64	SBS8 int64	SBS13 int64	SBS18 int64
335	28	46	0	261	348	4,035	825	0	702	0
689	69	94	2	140	508	0	3,000	1,809	590	0
278	39	38	1	263	349	3,388	719	0	481	0
1,010	125	190	2	313	435	0	6,376	4,239	887	0
281	50	49	0	244	1,177	3,054	750	0	1,663	0
546	71	65	1	523	0	8,798	1,841	0	0	0
92	13	47	0	448	163	0	1,986	659	97	0
58	6	28	0	157	284	0	1,212	0	467	0
53	5	50	1	337	132	0	908	0	109	556
363	52	348	1	1,019	910	4,450	3,393	0	1,493	0
1,070	106	152	6	405	261	4,497	2,816	2,147	414	0
682	90	111	1	201	539	3,765	1,893	1,818	938	0
60	10	32	0	351	405	0	3,495	0	685	0
135	18	114	0	733	784	0	2,792	1,097	376	0
107	15	53	0	326	2,729	0	1,496	0	2,653	0
105	14	70	0	215	160	0	1,475	528	143	0
230	26	87	0	627	817	0	2,849	0	662	1,035
450	94	78	3	325	777	3,995	2,712	2,405	335	0
221	94	120	1	532	31,927	0	1,518	0	31,276	0
135	10	57	0	410	0	0	2,099	0	0	462
108	6	48	0	403	133	0	2,081	0	102	0
156	10	140	0	389	232	0	2,108	0	0	398
60	3	41	0	348	0	0	1,279	0	0	0
104	3	68	0	362	314	0	1,463	0	85	328
122	40	64	0	241	21,397	0	1,773	0	12,784	0
91	5	73	0	311	0	0	1,601	399	0	0
63	10	37	0	222	601	0	1,427	0	306	462
165	23	155	1	431	489	0	3,641	0	267	1,121
87	2	41	0	204	1,162	0	1,086	0	721	0
131	5	97	0	574	346	0	2,378	0	362	0
70	2	55	0	327	0	0	1,030	0	0	589
78	8	134	0	374	0	0	1,261	0	0	498
115	9	84	1	489	0	0	1,839	0	0	0
67	7	71	0	266	0	0	911	0	0	337
78	4	76	0	257	0	0	1,041	0	0	203
90	22	36	0	521	137	0	1,508	747	129	0
42	2	63	0	184	679	0	895	0	546	0
114	11	46	0	409	330	0	1,646	0	175	0
101	10	54	0	246	3,740	0	1,428	0	3,082	0
60	5	29	0	249	252	0	920	0	73	0
80	5	41	0	379	212	0	1,221	0	438	0
460	44	120	3	296	0	1,921	1,542	984	0	0
145	17	88	1	417	0	0	2,147	0	0	759
379	31	124	0	343	200	0	1,707	1,327	101	747
97	59	61	2	178	30,541	0	1,015	0	24,038	0
70	2	76	0	344	121	0	997	0	0	327
102	21	36	0	262	4,941	0	1,328	0	6,227	0
94	3	48	0	213	0	0	1,636	0	0	0
85	13	33	0	344	858	0	1,770	0	1,021	0
620	111	108	2	285	304	4,258	1,752	0	334	888
105	5	51	0	416	0	0	1,336	0	0	0
981	129	151	2	308	541	4,466	2,088	1,876	783	0
53	5	42	0	246	0	0	817	0	0	202
92	4	57	0	399	0	0	1,384	0	0	0
463	36	82	2	216	0	0	1,817	0	0	0
141	65	38	1	398	0	3,872	1,309	0	0	0
47	2	57	0	220	0	0	865	254	0	0
534	87	71	1	290	280	3,873	1,090	0	432	0
279	8	112	0	778	1,340	0	3,360	0	268	0
60	4	23	0	222	208	0	1,441	0	0	0
330	34	78	0	281	549	0	1,881	0	0	0
133	10	83	0	551	117	0	2,027	0	192	0
83	2	76	0	285	0	0	1,444	0	0	268
192	9	112	0	353	0	0	2,510	0	0	0
115	20	36	0	332	385	0	2,612	0	1,150	0
107	14	64	0	530	306	0	2,357	0	324	678
78	6	31	0	278	0	0	1,044	363	0	0
175	23	85	0	461	0	2,140	2,066	0	0	613
98	3	106	0	295	100	0	1,544	0	95	0
79	2	46	0	345	346	0	1,153	0	222	0
51	4	56	0	278	263	0	960	0	258	295
786	79	119	3	394	302	3,101	1,739	1,934	304	0
310	40	54	0	249	1,080	0	2,632	1,500	1,295	0
773	84	117	3	372	565	5,874	1,625	0	735	0
55	2	30	0	174	0	0	723	218	0	0
399	80	73	1	232	830	0	3,552	2,303	1,421	0
90	11	36	0	231	0	0	1,361	359	0	0
48	4	40	0	499	148	0	1,773	0	88	0
123	7	87	0	299	521	0	1,652	0	540	549
111	5	42	1	273	118	0	1,117	0	0	214
66	27	73	0	242	2,935	0	2,885	0	3,234	0
84	6	67	0	396	0	0	1,175	0	0	333
262	26	221	1	1,032	236	0	3,909	0	452	1,300
126	7	43	0	418	159	0	1,323	436	83	0
57	5	24	0	273	797	0	1,345	0	223	0
92	1	99	0	519	122	0	1,416	0	0	0
951	99	151	2	274	6,516	8,996	302	0	7,347	0
111	6	75	0	492	350	0	1,686	0	0	0
524	33	351	1	279	0	0	6,575	0	0	1,858
194	23	232	0	450	0	0	3,219	0	0	1,565
249	20	116	0	379	172	2,089	1,748	0	275	0
452	37	57	1	365	0	0	2,838	1,858	0	0
190	25	208	0	333	0	0	2,419	0	0	1,228
517	104	72	4	274	622	6,037	1,865	0	1,257	0
240	29	165	0	707	287	2,334	2,363	0	331	684
173	13	141	0	384	0	0	2,102	0	0	439
90	5	67	0	553	0	0	1,616	0	0	511
115	10	82	1	391	0	0	2,512	0	0	0
191	13	75	0	464	144	0	1,850	0	79	755
448	33	414	1	978	412	0	6,271	0	388	1,963

End of preview.

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Models trained or fine-tuned on anderdnavarro/OncoGAN-training_files

anderdnavarro/OncoGAN

Updated Oct 17 • 2

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OncoGAN

Collection

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