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mtkinit
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dsa

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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 ({'idx', 'sentence', 'label'}) and 6 missing columns ({'PetalLengthCm', 'SepalLengthCm', 'Species', 'Id', 'SepalWidthCm', 'PetalWidthCm'}).

This happened while the csv dataset builder was generating data using

hf://datasets/mtkinit/dsa/data/short-sentiment.csv (at revision d5396e316c2d70f7088a68a5175d1352a0d1bd5b)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              idx: int64
              sentence: string
              label: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 585
              to
              {'Id': Value(dtype='int64', id=None), 'SepalLengthCm': Value(dtype='float64', id=None), 'SepalWidthCm': Value(dtype='float64', id=None), 'PetalLengthCm': Value(dtype='float64', id=None), 'PetalWidthCm': Value(dtype='float64', id=None), 'Species': Value(dtype='string', 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 ({'idx', 'sentence', 'label'}) and 6 missing columns ({'PetalLengthCm', 'SepalLengthCm', 'Species', 'Id', 'SepalWidthCm', 'PetalWidthCm'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/mtkinit/dsa/data/short-sentiment.csv (at revision d5396e316c2d70f7088a68a5175d1352a0d1bd5b)
              
              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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Id
int64
SepalLengthCm
float64
SepalWidthCm
float64
PetalLengthCm
float64
PetalWidthCm
float64
Species
string
1
5.1
3.5
1.4
0.2
Iris-setosa
2
4.9
3
1.4
0.2
Iris-setosa
3
4.7
3.2
1.3
0.2
Iris-setosa
4
4.6
3.1
1.5
0.2
Iris-setosa
5
5
3.6
1.4
0.2
Iris-setosa
6
5.4
3.9
1.7
0.4
Iris-setosa
7
4.6
3.4
1.4
0.3
Iris-setosa
8
5
3.4
1.5
0.2
Iris-setosa
9
4.4
2.9
1.4
0.2
Iris-setosa
10
4.9
3.1
1.5
0.1
Iris-setosa
11
5.4
3.7
1.5
0.2
Iris-setosa
12
4.8
3.4
1.6
0.2
Iris-setosa
13
4.8
3
1.4
0.1
Iris-setosa
14
4.3
3
1.1
0.1
Iris-setosa
15
5.8
4
1.2
0.2
Iris-setosa
16
5.7
4.4
1.5
0.4
Iris-setosa
17
5.4
3.9
1.3
0.4
Iris-setosa
18
5.1
3.5
1.4
0.3
Iris-setosa
19
5.7
3.8
1.7
0.3
Iris-setosa
20
5.1
3.8
1.5
0.3
Iris-setosa
21
5.4
3.4
1.7
0.2
Iris-setosa
22
5.1
3.7
1.5
0.4
Iris-setosa
23
4.6
3.6
1
0.2
Iris-setosa
24
5.1
3.3
1.7
0.5
Iris-setosa
25
4.8
3.4
1.9
0.2
Iris-setosa
26
5
3
1.6
0.2
Iris-setosa
27
5
3.4
1.6
0.4
Iris-setosa
28
5.2
3.5
1.5
0.2
Iris-setosa
29
5.2
3.4
1.4
0.2
Iris-setosa
30
4.7
3.2
1.6
0.2
Iris-setosa
31
4.8
3.1
1.6
0.2
Iris-setosa
32
5.4
3.4
1.5
0.4
Iris-setosa
33
5.2
4.1
1.5
0.1
Iris-setosa
34
5.5
4.2
1.4
0.2
Iris-setosa
35
4.9
3.1
1.5
0.1
Iris-setosa
36
5
3.2
1.2
0.2
Iris-setosa
37
5.5
3.5
1.3
0.2
Iris-setosa
38
4.9
3.1
1.5
0.1
Iris-setosa
39
4.4
3
1.3
0.2
Iris-setosa
40
5.1
3.4
1.5
0.2
Iris-setosa
41
5
3.5
1.3
0.3
Iris-setosa
42
4.5
2.3
1.3
0.3
Iris-setosa
43
4.4
3.2
1.3
0.2
Iris-setosa
44
5
3.5
1.6
0.6
Iris-setosa
45
5.1
3.8
1.9
0.4
Iris-setosa
46
4.8
3
1.4
0.3
Iris-setosa
47
5.1
3.8
1.6
0.2
Iris-setosa
48
4.6
3.2
1.4
0.2
Iris-setosa
49
5.3
3.7
1.5
0.2
Iris-setosa
50
5
3.3
1.4
0.2
Iris-setosa
51
7
3.2
4.7
1.4
Iris-versicolor
52
6.4
3.2
4.5
1.5
Iris-versicolor
53
6.9
3.1
4.9
1.5
Iris-versicolor
54
5.5
2.3
4
1.3
Iris-versicolor
55
6.5
2.8
4.6
1.5
Iris-versicolor
56
5.7
2.8
4.5
1.3
Iris-versicolor
57
6.3
3.3
4.7
1.6
Iris-versicolor
58
4.9
2.4
3.3
1
Iris-versicolor
59
6.6
2.9
4.6
1.3
Iris-versicolor
60
5.2
2.7
3.9
1.4
Iris-versicolor
61
5
2
3.5
1
Iris-versicolor
62
5.9
3
4.2
1.5
Iris-versicolor
63
6
2.2
4
1
Iris-versicolor
64
6.1
2.9
4.7
1.4
Iris-versicolor
65
5.6
2.9
3.6
1.3
Iris-versicolor
66
6.7
3.1
4.4
1.4
Iris-versicolor
67
5.6
3
4.5
1.5
Iris-versicolor
68
5.8
2.7
4.1
1
Iris-versicolor
69
6.2
2.2
4.5
1.5
Iris-versicolor
70
5.6
2.5
3.9
1.1
Iris-versicolor
71
5.9
3.2
4.8
1.8
Iris-versicolor
72
6.1
2.8
4
1.3
Iris-versicolor
73
6.3
2.5
4.9
1.5
Iris-versicolor
74
6.1
2.8
4.7
1.2
Iris-versicolor
75
6.4
2.9
4.3
1.3
Iris-versicolor
76
6.6
3
4.4
1.4
Iris-versicolor
77
6.8
2.8
4.8
1.4
Iris-versicolor
78
6.7
3
5
1.7
Iris-versicolor
79
6
2.9
4.5
1.5
Iris-versicolor
80
5.7
2.6
3.5
1
Iris-versicolor
81
5.5
2.4
3.8
1.1
Iris-versicolor
82
5.5
2.4
3.7
1
Iris-versicolor
83
5.8
2.7
3.9
1.2
Iris-versicolor
84
6
2.7
5.1
1.6
Iris-versicolor
85
5.4
3
4.5
1.5
Iris-versicolor
86
6
3.4
4.5
1.6
Iris-versicolor
87
6.7
3.1
4.7
1.5
Iris-versicolor
88
6.3
2.3
4.4
1.3
Iris-versicolor
89
5.6
3
4.1
1.3
Iris-versicolor
90
5.5
2.5
4
1.3
Iris-versicolor
91
5.5
2.6
4.4
1.2
Iris-versicolor
92
6.1
3
4.6
1.4
Iris-versicolor
93
5.8
2.6
4
1.2
Iris-versicolor
94
5
2.3
3.3
1
Iris-versicolor
95
5.6
2.7
4.2
1.3
Iris-versicolor
96
5.7
3
4.2
1.2
Iris-versicolor
97
5.7
2.9
4.2
1.3
Iris-versicolor
98
6.2
2.9
4.3
1.3
Iris-versicolor
99
5.1
2.5
3
1.1
Iris-versicolor
100
5.7
2.8
4.1
1.3
Iris-versicolor
End of preview.

dsa

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