Datasets:

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bcco_reg

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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 10 new columns ({'x5', 'x1', 'x2', 'x10', 'x4', 'x3', 'x7', 'x8', 'x9', 'x6'}) and 12 missing columns ({'Effective_pixels', 'Normal_focus_range', 'Weight_(inc._batteries)', 'Low_resolution', 'Model', 'Zoom_wide_(W)', 'Macro_focus_range', 'Zoom_tele_(T)', 'Storage_included', 'Release_date', 'Dimensions', 'Max_resolution'}).

This happened while the csv dataset builder was generating data using

hf://datasets/stableai-org/bcco_reg/bcco_reg/2dplanes/2dplanes_train.csv (at revision 650bb720ac58f067203b4c323d28344a48a7fa08)

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
              x1: double
              x2: double
              x3: double
              x4: double
              x5: double
              x6: double
              x7: double
              x8: double
              x9: double
              x10: double
              target: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1428
              to
              {'Model': Value('string'), 'Release_date': Value('int64'), 'Max_resolution': Value('float64'), 'Low_resolution': Value('float64'), 'Effective_pixels': Value('int64'), 'Zoom_wide_(W)': Value('int64'), 'Zoom_tele_(T)': Value('float64'), 'Normal_focus_range': Value('int64'), 'Macro_focus_range': Value('float64'), 'Storage_included': Value('float64'), 'Weight_(inc._batteries)': Value('float64'), 'Dimensions': Value('float64'), 'target': Value('float64')}
              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 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 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 10 new columns ({'x5', 'x1', 'x2', 'x10', 'x4', 'x3', 'x7', 'x8', 'x9', 'x6'}) and 12 missing columns ({'Effective_pixels', 'Normal_focus_range', 'Weight_(inc._batteries)', 'Low_resolution', 'Model', 'Zoom_wide_(W)', 'Macro_focus_range', 'Zoom_tele_(T)', 'Storage_included', 'Release_date', 'Dimensions', 'Max_resolution'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/stableai-org/bcco_reg/bcco_reg/2dplanes/2dplanes_train.csv (at revision 650bb720ac58f067203b4c323d28344a48a7fa08)
              
              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.

Model string	Release_date int64	Max_resolution float64	Low_resolution float64	Effective_pixels int64	Zoom_wide_(W) int64	Zoom_tele_(T) float64	Normal_focus_range int64	Macro_focus_range float64	Storage_included float64	Weight_(inc._batteries) float64	Dimensions float64	target float64
Fujifilm FinePix F40 fd	2,007	3,296	2,304	8	36	108	45	7	25	181	96	199
Kodak DC4800	2,000	2,160	1,800	3	28	84	50	20	16	320	120	129
Olympus C-21	1,999	1,600	1,024	1	38	38	60	15	8	190	107	1,699
Nikon Coolpix L10	2,007	2,560	2,048	4	37	112	40	15	7	165	90	99
Canon PowerShot A10	2,001	1,280	1,024	1	35	105	76	16	8	375	110	139
Samsung Digimax V40	2,004	2,272	2,048	3	35	113	80	5	0	230	106	229
Epson PhotoPC 700	1,998	1,280	640	1	35	35	50	10	4	0	0	229
Pentax Optio S40	2,004	2,304	1,600	4	35	105	40	6	11	175	89	149
Canon PowerShot S230	2,002	2,048	1,600	3	35	70	47	10	16	250	87	199
Sony DSC-T3	2,004	2,592	2,048	5	38	114	50	8	32	186	90	399
Nikon Coolpix L6	2,006	2,816	2,048	6	38	116	30	10	23	175	91	99
Olympus IR-300	2,005	2,560	2,048	4	38	114	50	5	15	160	99	129
Fujifilm FinePix E500 Zoom	2,004	2,304	1,600	4	28	91	60	6	16	226	101	169
HP Photosmart M527	2,006	2,800	2,288	6	38	114	50	12	16	227	99	179
Fujifilm FinePix 2800 Zoom	2,001	1,600	1,280	1	38	228	80	10	16	360	95	169
Pentax Optio 330GS	2,002	2,048	1,600	3	38	114	4	5	16	230	104	269
Kodak DX3900	2,001	2,160	1,800	3	35	70	50	7	8	260	116	129
Pentax *ist DS	2,004	3,008	2,400	6	0	0	0	0	0	605	125	799
Fujifilm FinePix A330	2,004	2,016	1,600	3	38	114	60	10	16	160	104	169
Sony Mavica CD200	2,001	1,600	1,024	1	39	117	50	3	8	620	144	1,399
Sony DSC-S75	2,001	2,048	1,600	3	34	102	50	4	8	444	125	149
Samsung Digimax 130	2,002	1,280	640	1	43	43	80	40	8	250	106	299
Casio QV-8000SX	1,999	1,280	640	1	40	320	40	1	8	320	141	249
Sony DSC-U60	2,003	1,632	640	2	33	33	10	10	8	200	60	149
Nikon D2Xs	2,006	4,288	3,216	12	0	0	0	0	0	1,200	158	4,699
Olympus FE-290	2,007	3,072	2,048	7	28	112	40	5	6	142	98	129
Olympus D-560 Zoom	2,003	2,048	1,024	3	35	105	50	20	16	220	108	449
Kodak C653	2,007	2,848	2,304	6	36	108	60	10	22	195	89	126
Sony DSC-D700	1,998	1,344	640	1	28	140	20	0	8	900	130	149
Canon PowerShot 350	1,997	640	0	0	42	42	70	3	2	320	93	149
Casio Exilim EX-Z77	2,007	3,072	2,560	7	38	114	40	10	11	128	95	199
Pentax Optio 430RS	2,002	2,240	1,120	3	37	111	40	14	16	240	92	269
Nikon Coolpix 5700	2,002	2,560	1,600	4	35	280	50	3	32	512	108	229
HP Photosmart M437	2,007	2,576	0	5	38	114	50	10	16	190	95	179
Nikon Coolpix P4	2,006	3,264	2,592	8	36	126	30	4	23	200	92	229
Kodak Z885	2,007	3,264	2,592	8	36	180	60	7	32	211	90	146
Ricoh Caplio RR530	2,005	2,560	2,048	4	32	96	30	1	12	190	91	399
Olympus C-770 UZ	2,004	2,288	2,048	3	38	380	60	7	32	310	105	449
Kodak DC240	1,999	1,280	640	1	39	117	50	25	8	420	133	129
Olympus D-450 Zoom	1,999	1,280	640	1	35	105	80	20	8	320	127	129
Sony DSC-U50	2,003	1,632	640	2	33	33	10	10	8	132	100	149
Olympus C-8080 Wide Zoom	2,004	3,264	2,592	8	28	140	80	5	32	724	124	179
Panasonic Lumix DMC-FX7	2,004	2,560	2,048	4	35	105	50	5	16	153	94	1,499
Pentax Optio SVi	2,005	2,560	2,048	5	36	180	60	3	32	165	91	149
Olympus D-535 Zoom	2,004	2,048	1,600	3	38	114	50	2	12	190	88	449
Pentax *ist DL2	2,006	3,008	2,400	6	0	0	0	0	0	565	125	799
Panasonic Lumix DMC-FX8	2,005	2,560	2,560	5	35	105	50	5	16	155	94	1,499
Casio QV-2400UX	2,001	1,600	800	1	41	123	10	1	8	245	67	249
Fujifilm FinePix A340	2,004	2,272	1,600	4	38	114	60	10	16	160	104	169
Sony DSC-R1	2,005	3,888	3,264	10	24	120	0	0	0	995	139	429
Sony Mavica CD350	2,003	2,048	1,632	3	41	123	50	10	1	522	132	1,399
Fujifilm Finepix 30i	2,001	1,600	1,280	1	38	38	60	8	16	200	85	199
Canon PowerShot S20	2,000	2,048	1,024	3	32	64	66	12	16	320	106	399
Casio Exilim EX-Z55	2,004	2,560	2,048	5	35	105	50	6	9	180	87	329
HP Photosmart 435	2,003	2,048	640	3	36	36	85	85	16	190	117	179
Kyocera Finecam SL300R	2,003	2,048	1,600	3	35	115	60	20	16	175	100	229
Kodak CX7220	2,004	0	0	2	37	78	50	60	16	195	104	129
Nikon Coolpix S5	2,006	2,816	2,048	6	35	105	30	4	21	165	93	229
Kodak DCS 14n	2,002	4,536	3,024	13	0	0	0	0	0	1,000	131	129
Canon PowerShot A75	2,004	2,048	1,600	3	35	105	46	5	32	315	101	139
Olympus E-20	2,001	2,560	1,792	4	35	140	60	20	16	1,190	129	1,699
Casio Exilim EX-V8	2,007	3,264	2,816	8	38	266	40	10	11	199	96	299
Olympus C-4000 Zoom	2,002	2,288	2,048	3	32	96	80	2	16	400	110	129
HP Photosmart 945	2,003	2,608	1,296	5	37	300	50	10	32	500	123	179
Nikon Coolpix 3500	2,002	2,048	1,600	3	37	111	30	4	8	250	114	229
Olympus FE-150	2,006	2,560	2,048	5	32	96	50	6	9	175	90	129
Nikon Coolpix P1	2,005	3,264	2,592	8	35	126	50	4	32	185	91	99
Ricoh RDC-7	2,000	2,048	1,024	3	35	105	24	1	8	320	135	1,699
Agfa ePhoto 1280	1,997	1,024	640	0	38	114	70	40	4	420	95	179
Pentax EI-2000	2,000	1,600	800	1	34	108	50	10	16	630	144	509
Kodak DC265	1,999	1,536	768	1	38	115	30	0	16	550	118	129
HP Photosmart C315	2,000	1,600	640	1	38	38	30	30	8	280	128	179
Samsung i70	2,007	3,072	2,592	7	38	114	80	5	20	180	90	199
Olympus C-3020 Zoom	2,001	2,048	1,600	3	32	96	80	20	8	380	109	1,699
Panasonic Lumix DMC-FX1	2,003	2,048	1,600	3	35	105	50	10	16	185	0	1,499
Sony Mavica FD-75	2,001	640	320	0	40	400	1	1	1	580	138	1,399
Sony DSC-U40	2,003	1,632	640	2	33	33	10	10	8	130	83	149
Kodak LS753	2,004	2,569	0	5	36	108	60	12	32	220	108	126
Casio QV-5500SX	1,999	1,280	640	1	36	36	30	10	8	320	131	249
Casio Exilim EX-S100	2,004	2,048	1,600	3	36	102	40	17	9	123	88	249
Kodak Z7590	2,005	2,576	2,576	5	38	380	60	12	32	400	97	126
Nikon Coolpix 100	1,997	512	320	0	52	52	23	14	1	200	60	229
Panasonic Lumix DMC-FZ30	2,005	3,264	2,560	8	35	420	30	5	32	740	141	299
Sony DSC-P8	2,003	2,048	1,632	3	39	117	50	10	16	206	105	429
Canon PowerShot S45	2,002	2,272	1,600	3	35	105	50	10	32	323	112	139
Sony DSC-W100	2,006	3,264	2,592	8	38	114	50	6	64	192	94	149
Casio QV-R41	2,004	2,304	2,240	3	39	117	60	10	9	198	88	249
Kodak C875	2,006	3,264	2,560	8	37	185	60	10	32	225	91	126
Fujifilm FinePix S6000 fd	2,006	2,848	2,048	6	28	300	40	10	10	700	131	399
Sony DSC-P5	2,001	2,048	1,600	3	39	117	50	10	8	214	113	429
Canon PowerShot G6	2,004	3,072	2,592	7	35	140	50	5	32	467	105	499
Fujifilm MX-2700	1,999	1,800	1,280	2	35	35	50	9	4	260	80	169
Casio Exilim EX-S880	2,007	3,264	2,816	8	38	114	50	15	10	138	94.5	249
Fujifilm FinePix S5 Pro	2,006	4,256	3,024	6	0	0	0	0	0	920	147	1,699
Nikon Coolpix 2500	2,002	1,600	1,280	1	37	111	30	4	8	250	114	229
HP Photosmart M407	2,004	2,320	1,280	4	40	111	50	10	16	190	95	179
Casio Exilim EX-Z40	2,004	2,304	1,600	4	35	105	40	6	9	150	87	329
Olympus Stylus 410	2,004	2,272	2,048	3	35	105	50	20	16	200	99	229
Olympus D-520 Zoom	2,002	1,600	1,024	1	35	105	50	20	8	220	112	449
Olympus Stylus 760	2,007	3,072	2,560	7	37	111	60	8	18	160	99	229

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Updated 6 days ago • 2.91k • 10