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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 4 new columns ({'user_id', 'rating', 'is_read', 'is_reviewed'}) and 1 missing columns ({'book_id_csv'}).
This happened while the csv dataset builder was generating data using
hf://datasets/zhangt766/Goodreads/raw/goodreads_interactions.csv (at revision a9ae14f909b32dc7d9ff863060ebb6351a0d8993)
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 623, 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
user_id: int64
book_id: int64
is_read: int64
rating: int64
is_reviewed: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 824
to
{'book_id_csv': Value(dtype='int64', id=None), 'book_id': 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 1438, 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 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 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 4 new columns ({'user_id', 'rating', 'is_read', 'is_reviewed'}) and 1 missing columns ({'book_id_csv'}).
This happened while the csv dataset builder was generating data using
hf://datasets/zhangt766/Goodreads/raw/goodreads_interactions.csv (at revision a9ae14f909b32dc7d9ff863060ebb6351a0d8993)
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.
book_id_csv
int64 | book_id
int64 |
|---|---|
0
| 34,684,622
|
1
| 34,536,488
|
2
| 34,017,076
|
3
| 71,730
|
4
| 30,422,361
|
5
| 33,503,613
|
6
| 33,517,540
|
7
| 34,467,031
|
8
| 6,383,669
|
9
| 486,625
|
10
| 19,161,852
|
11
| 32,620,335
|
12
| 13,152,847
|
13
| 25,735,618
|
14
| 24,375,664
|
15
| 35,097,384
|
16
| 34,974,754
|
17
| 836,610
|
18
| 6,565,837
|
19
| 25,899,336
|
20
| 26,114,127
|
21
| 18,245,960
|
22
| 6,392,944
|
23
| 22,078,596
|
24
| 6,644,782
|
25
| 46,164
|
26
| 27,833,614
|
27
| 10,419,045
|
28
| 255,127
|
29
| 28,251,002
|
30
| 23,168,277
|
31
| 32,075,825
|
32
| 30,622,471
|
33
| 22,591,134
|
34
| 31,580,409
|
35
| 133,394
|
36
| 23,848,190
|
37
| 16,130
|
38
| 30,139,664
|
39
| 32,191,710
|
40
| 29,939,161
|
41
| 45,252
|
42
| 32,283,423
|
43
| 43,615
|
44
| 29,905,580
|
45
| 18,364,442
|
46
| 873,993
|
47
| 26,721,984
|
48
| 8,879,516
|
49
| 5,526
|
50
| 2,279,538
|
51
| 5,043
|
52
| 13,543,159
|
53
| 18,667,753
|
54
| 23,149,647
|
55
| 8,138,071
|
56
| 7,268,003
|
57
| 125,466
|
58
| 31,138,556
|
59
| 18,633,693
|
60
| 15,849,559
|
61
| 17,130,524
|
62
| 22,055,137
|
63
| 27,523
|
64
| 20,821,043
|
65
| 23,677,430
|
66
| 428,263
|
67
| 23,002,924
|
68
| 6,480,781
|
69
| 28,820,024
|
70
| 1,995,421
|
71
| 29,430,012
|
72
| 29,570,143
|
73
| 9,460,786
|
74
| 210,817
|
75
| 10,893,214
|
76
| 7,648,967
|
77
| 16,174,968
|
78
| 33,282,947
|
79
| 18,775,365
|
80
| 11,387,515
|
81
| 30,211,956
|
82
| 31,823,677
|
83
| 25,319,219
|
84
| 10,884
|
85
| 29,983,426
|
86
| 31,184,479
|
87
| 26,827,093
|
88
| 641,601
|
89
| 33,156,573
|
90
| 33,232,571
|
91
| 24,396,144
|
92
| 22,320
|
93
| 22,750,073
|
94
| 29,893,493
|
95
| 27,209,130
|
96
| 28,114,110
|
97
| 1,317,946
|
98
| 25,814,544
|
99
| 17,554,595
|
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