Datasets:

amphora
/

iti-btc

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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 5 new columns ({'0.05341700', '250.51985413', '69180', '1504224060493', '4689.89000000'}) and 5 missing columns ({'426.14800000', '0', '4261.48000000', '0.10000000', '1502942428322'}).

This happened while the csv dataset builder was generating data using

hf://datasets/amphora/iti-btc/BTCUSDT_spot_2017_2024_trades/BTCUSDT-trades-2017-09.csv (at revision 278cad19270418a94d01a867271a5c4f70a70a01)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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
              69180: int64
              4689.89000000: double
              0.05341700: double
              250.51985413: double
              1504224060493: int64
              True: bool
              True.1: bool
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1076
              to
              {'0': Value(dtype='int64', id=None), '4261.48000000': Value(dtype='float64', id=None), '0.10000000': Value(dtype='float64', id=None), '426.14800000': Value(dtype='float64', id=None), '1502942428322': Value(dtype='int64', id=None), 'True': Value(dtype='bool', id=None), 'True.1': Value(dtype='bool', 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 1412, 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 988, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1872, 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 5 new columns ({'0.05341700', '250.51985413', '69180', '1504224060493', '4689.89000000'}) and 5 missing columns ({'426.14800000', '0', '4261.48000000', '0.10000000', '1502942428322'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/amphora/iti-btc/BTCUSDT_spot_2017_2024_trades/BTCUSDT-trades-2017-09.csv (at revision 278cad19270418a94d01a867271a5c4f70a70a01)
              
              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)

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0 int64	4261.48000000 float64	0.10000000 float64	426.14800000 float64	1502942428322 int64	True bool	True.1 bool
1	4,261.48	1.6	6,818.368	1,502,942,432,285	true	true
2	4,261.48	0.075183	320.390851	1,502,942,432,322	false	true
3	4,280.56	0.0296	126.704576	1,502,942,568,879	false	true
4	4,280.56	0.231474	990.838345	1,502,942,568,887	false	true
5	4,261.48	0.000234	0.997186	1,502,942,628,038	false	true
6	4,261.48	0.002113	9.004507	1,502,942,628,046	false	true
7	4,261.48	0.009661	41.170158	1,502,942,637,667	false	true
8	4,261.48	0.140796	599.999338	1,502,942,647,778	false	true
9	4,261.48	0.05976	254.666045	1,502,943,468,063	false	true
10	4,264.88	0.015695	66.937292	1,502,943,468,063	false	true
11	4,261.48	0.007015	29.894282	1,502,943,540,055	false	true
12	4,261.48	0.002985	12.720518	1,502,943,545,980	false	true
13	4,261.48	0.126654	539.733488	1,502,943,578,118	true	true
14	4,261.48	0.002985	12.720518	1,502,943,578,118	true	true
15	4,261.48	0.116573	496.773508	1,502,943,578,126	true	true
16	4,261.48	0.002985	12.720518	1,502,943,578,126	true	true
17	4,261.48	0.150014	639.281661	1,502,943,578,132	true	true
18	4,264.88	0.434306	1,852.262973	1,502,943,600,073	false	true
19	4,264.88	0.073985	315.537147	1,502,943,600,073	false	true
20	4,264.88	0.434306	1,852.262973	1,502,943,600,081	false	true
21	4,264.88	0.023767	101.363403	1,502,943,600,081	false	true
22	4,264.88	0.434306	1,852.262973	1,502,943,600,089	false	true
23	4,264.88	0.082344	351.187279	1,502,943,600,089	false	true
24	4,264.88	0.65146	2,778.398725	1,502,943,668,410	true	true
25	4,264.88	0.062749	267.616955	1,502,943,668,419	true	true
26	4,264.88	0.06787	289.457406	1,502,943,668,427	true	true
27	4,266.29	0.020337	86.76354	1,502,943,673,349	false	true
28	4,266.29	0.04314	184.047751	1,502,943,673,356	false	true
29	4,266.29	0.058891	251.246084	1,502,943,922,234	false	true
30	4,266.29	0.057313	244.513879	1,502,943,922,244	false	true
31	4,266.29	0.080076	341.627438	1,502,943,922,252	false	true
32	4,266.29	0.030243	129.025408	1,502,943,933,286	false	true
33	4,266.29	0.079077	337.365414	1,502,943,948,601	true	true
34	4,266.29	0.161835	690.435042	1,502,943,948,601	true	true
35	4,266.29	0.04113	175.472508	1,502,944,046,790	false	true
36	4,266.29	0.238966	1,019.498256	1,502,944,046,802	false	true
37	4,266.29	0.125417	535.065293	1,502,944,046,810	false	true
38	4,266.29	0.028599	122.011628	1,502,944,104,040	false	true
39	4,266.29	0.05508	234.987253	1,502,944,104,048	false	true
40	4,261.32	1.780001	7,585.153861	1,502,944,119,149	true	true
41	4,266.29	0.181561	774.591879	1,502,944,120,893	false	true
42	4,266.29	0.14844	633.288088	1,502,944,120,893	false	true
43	4,266.29	0.099921	426.291963	1,502,944,123,014	false	true
44	4,266.29	0.298588	1,273.862999	1,502,944,123,014	false	true
45	4,266.29	0.370942	1,582.546145	1,502,944,123,014	false	true
46	4,270.41	0.090549	386.681355	1,502,944,151,558	true	true
47	4,267.47	1.43	6,102.4821	1,502,944,159,766	true	true
48	4,261.45	0.95	4,048.3775	1,502,944,193,911	true	true
49	4,280	0.04517	193.3276	1,502,944,224,045	false	true
50	4,280.56	0.148926	637.486679	1,502,944,224,045	false	true
51	4,280.56	0.019889	85.136058	1,502,944,224,045	false	true
52	4,280.56	0.15975	683.81946	1,502,944,224,053	false	true
53	4,280.56	0.034346	147.020114	1,502,944,224,061	false	true
54	4,280.56	0.15975	683.81946	1,502,944,224,061	false	true
55	4,280.56	0.02137	91.475567	1,502,944,224,061	false	true
56	4,274.67	0.930001	3,975.447375	1,502,944,259,894	false	true
57	4,280	0.177521	759.78988	1,502,944,259,894	false	true
58	4,274.67	0.459109	1,962.539469	1,502,944,308,045	false	true
59	4,274.67	0.016355	69.912228	1,502,944,327,524	false	true
60	4,274.67	0.038686	165.369884	1,502,944,368,048	false	true
61	4,274.67	0.145716	622.887814	1,502,944,368,056	false	true
62	4,274.67	0.23947	1,023.655225	1,502,944,368,063	false	true
63	4,274.67	0.261821	1,119.198374	1,502,944,371,641	false	true
64	4,267.99	4.127747	17,617.182919	1,502,944,380,057	false	true
65	4,296.63	0.352639	1,515.159307	1,502,944,488,039	false	true
66	4,296.63	0.037362	160.53069	1,502,944,488,046	false	true
67	4,296.63	0.352639	1,515.159307	1,502,944,488,046	false	true
68	4,296.63	0.145424	624.833121	1,502,944,488,046	false	true
69	4,296.63	0.031722	136.297697	1,502,944,493,626	true	true
70	4,296.63	0.013229	56.840118	1,502,944,493,633	true	true
71	4,296.63	0.019491	83.745615	1,502,944,493,640	true	true
72	4,300.38	0.044657	192.04207	1,502,944,524,045	false	true
73	4,300.38	0.425958	1,831.781264	1,502,944,528,180	false	true
74	4,300.38	0.418008	1,797.593243	1,502,944,528,188	false	true
75	4,300.38	0.149595	643.315346	1,502,944,528,194	false	true
76	4,300.38	0.355529	1,528.909801	1,502,944,620,047	false	true
77	4,300.38	0.291761	1,254.683169	1,502,944,623,797	false	true
78	4,300.38	0.134493	578.371007	1,502,944,728,039	false	true
79	4,300.38	0.495555	2,131.074811	1,502,944,728,039	false	true
80	4,300.38	0.398902	1,715.430183	1,502,944,772,020	false	true
81	4,300.38	1.360826	5,852.068914	1,502,944,772,027	false	true
82	4,300.38	0.584737	2,514.5913	1,502,944,772,034	false	true
83	4,300.38	0.324723	1,396.432295	1,502,944,788,049	false	true
84	4,300.38	0.156363	672.420318	1,502,944,788,058	false	true
85	4,300.38	0.485489	2,087.787186	1,502,944,788,064	false	true
86	4,300.38	0.687375	2,955.973703	1,502,944,816,170	false	true
87	4,300.38	0.499041	2,146.065936	1,502,944,816,180	false	true
88	4,300.38	0.245024	1,053.696309	1,502,944,848,047	false	true
89	4,300.38	0.297274	1,278.391164	1,502,944,848,055	false	true
90	4,300.38	0.398697	1,714.548605	1,502,944,892,610	true	true
91	4,300.38	0.418227	1,798.535026	1,502,944,892,610	true	true
92	4,300.38	0.12842	552.2548	1,502,944,892,610	true	true
93	4,300.38	0.168855	726.140665	1,502,944,944,047	false	true
94	4,300.38	0.155801	670.003504	1,502,944,944,055	false	true
95	4,300.38	0.019799	85.143224	1,502,944,944,055	false	true
96	4,300.38	0.149056	640.997441	1,502,944,944,065	false	true
97	4,300.38	0.131473	565.38386	1,502,944,944,065	false	true
98	4,300.38	0.000967	4.158467	1,502,944,985,183	true	true
99	4,300.38	0.258358	1,111.037576	1,502,944,985,191	true	true
100	4,300.38	0.233124	1,002.521787	1,502,944,985,198	true	true

End of preview.