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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 3 new columns ({'column_name', 'n_distinct', 'table_name'}) and 1 missing columns ({'cluster'}). This happened while the csv dataset builder was generating data using hf://datasets/Jerrylife/WikiDBGraph/data/column_cardinality.csv (at revision 8e68522ccf73bf72f3a3cad161030f8fdeb2e8a4) 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 1871, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast db_id: int64 table_name: string column_name: string n_distinct: int64 -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 729 to {'db_id': Value(dtype='int64', id=None), 'cluster': 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 1428, 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 989, in stream_convert_to_parquet builder._prepare_split( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, 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 1873, 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 3 new columns ({'column_name', 'n_distinct', 'table_name'}) and 1 missing columns ({'cluster'}). This happened while the csv dataset builder was generating data using hf://datasets/Jerrylife/WikiDBGraph/data/column_cardinality.csv (at revision 8e68522ccf73bf72f3a3cad161030f8fdeb2e8a4) 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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db_id
int64 | cluster
int64 |
---|---|
0 | 9 |
1 | 9 |
2 | 9 |
3 | 9 |
4 | 9 |
5 | 9 |
6 | 9 |
7 | 5 |
8 | 9 |
9 | 9 |
10 | 9 |
11 | 9 |
12 | 10 |
13 | 5 |
14 | 9 |
15 | 5 |
16 | 9 |
17 | 9 |
18 | 9 |
19 | 9 |
20 | 9 |
21 | 9 |
22 | 9 |
23 | 9 |
24 | 9 |
25 | 9 |
26 | 9 |
27 | 9 |
28 | 9 |
29 | 9 |
30 | 9 |
31 | 10 |
32 | 9 |
33 | 9 |
34 | 9 |
35 | 9 |
36 | 9 |
37 | 9 |
38 | 9 |
39 | 9 |
40 | 7 |
41 | 9 |
42 | 9 |
43 | 9 |
44 | 9 |
45 | 0 |
46 | 9 |
47 | 9 |
48 | 9 |
49 | 9 |
50 | 9 |
51 | 9 |
52 | 9 |
53 | 9 |
54 | 9 |
55 | 9 |
56 | 9 |
57 | 9 |
58 | 9 |
59 | 9 |
60 | -1 |
61 | 9 |
62 | 9 |
63 | 10 |
64 | 9 |
65 | 9 |
66 | 10 |
67 | 9 |
68 | 9 |
69 | 9 |
70 | 9 |
71 | 9 |
72 | 9 |
73 | 9 |
74 | 9 |
75 | 9 |
76 | 9 |
77 | 9 |
78 | 9 |
79 | 9 |
80 | 9 |
81 | 9 |
82 | 2 |
83 | 9 |
84 | 9 |
85 | 9 |
86 | 9 |
87 | 9 |
88 | 9 |
89 | 9 |
90 | 9 |
91 | 9 |
92 | 9 |
93 | 9 |
94 | 9 |
95 | 9 |
96 | 9 |
97 | 9 |
98 | 9 |
99 | 10 |
End of preview.
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