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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 1 new columns ({'1768545\t2444575'}) and 2 missing columns ({'id', 'doi'}).
This happened while the csv dataset builder was generating data using
zip://root/oc_citation_events_last_5yrs_int_el.cleaned.tsv::/tmp/hf-datasets-cache/medium/datasets/81524254436787-config-parquet-and-info-slevis-openalex-7c096776/downloads/40405a7757a5f32116d3b166f86783c0682686641b9922892c35ae5e17983158
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
1768545 2444575: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 395
to
{'id': Value(dtype='int64', id=None), 'doi': 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 1577, 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 1191, 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 1 new columns ({'1768545\t2444575'}) and 2 missing columns ({'id', 'doi'}).
This happened while the csv dataset builder was generating data using
zip://root/oc_citation_events_last_5yrs_int_el.cleaned.tsv::/tmp/hf-datasets-cache/medium/datasets/81524254436787-config-parquet-and-info-slevis-openalex-7c096776/downloads/40405a7757a5f32116d3b166f86783c0682686641b9922892c35ae5e17983158
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.
id
int64 | doi
string |
|---|---|
1
|
doi:10.1007/s40274-019-6237-3
|
2
|
doi:10.1007/s40274-019-6231-9
|
4
|
doi:10.1007/s40274-019-6225-7
|
5
|
doi:10.1007/s40274-019-6223-9
|
7
|
doi:10.1007/s40274-019-6224-8
|
8
|
doi:10.1007/s40274-019-6238-2
|
9
|
doi:10.1007/s40274-019-6219-5
|
10
|
doi:10.1007/s40274-019-6236-4
|
11
|
doi:10.1007/s40274-019-6242-6
|
13
|
doi:10.1007/s40274-019-6228-4
|
17
|
doi:10.1007/s40274-019-6211-0
|
19
|
doi:10.1007/s40274-019-6220-z
|
20
|
doi:10.1007/s40274-019-6232-8
|
21
|
doi:10.1007/s40274-019-6213-y
|
25
|
doi:10.1007/s40274-019-6218-6
|
27
|
doi:10.1007/s40274-019-6217-7
|
29
|
doi:10.1007/s40274-019-6229-3
|
30
|
doi:10.1007/s40274-019-6221-y
|
31
|
doi:10.1109/caida51941.2021.9425309
|
32
|
doi:10.1109/ectidamtncon51128.2021.9425723
|
33
|
doi:10.1109/uv50937.2020.9426216
|
35
|
doi:10.1109/i2ct51068.2021.9418082
|
38
|
doi:10.1101/2021.05.10.443486
|
39
|
doi:10.1109/i2ct51068.2021.9417982
|
40
|
doi:10.1109/isqed51717.2021.9424362
|
41
|
doi:10.5194/cp-2021-51
|
42
|
doi:10.1109/ectidamtncon51128.2021.9425724
|
43
|
doi:10.1109/i2ct51068.2021.9418002
|
44
|
doi:10.1109/i2ct51068.2021.9418191
|
45
|
doi:10.1109/uv50937.2020.9426214
|
47
|
doi:10.1109/i2ct51068.2021.9418209
|
48
|
doi:10.1109/uv50937.2020.9426206
|
49
|
doi:10.1109/ectidamtncon51128.2021.9425727
|
50
|
doi:10.1109/wispnet51692.2021.9419415
|
51
|
doi:10.21203/rs.3.rs-486469/v1
|
52
|
doi:10.21203/rs.3.rs-492022/v1
|
53
|
doi:10.1109/ectidamtncon51128.2021.9425696
|
57
|
doi:10.1109/isqed51717.2021.9424364
|
58
|
doi:10.1109/lifetech52111.2021.9391888
|
59
|
doi:10.1109/i2ct51068.2021.9418115
|
61
|
doi:10.1109/isqed51717.2021.9424291
|
62
|
doi:10.1109/aipr50011.2020.9425160
|
63
|
doi:10.1101/2021.05.10.443381
|
65
|
doi:10.31234/osf.io/h87s3
|
66
|
doi:10.1109/i2ct51068.2021.9418095
|
67
|
doi:10.1109/i2ct51068.2021.9418163
|
68
|
doi:10.5194/acp-2021-379
|
69
|
doi:10.1109/wemdcd51469.2021.9425681
|
70
|
doi:10.1109/wemdcd51469.2021.9425643
|
71
|
doi:10.1109/i2ct51068.2021.9417922
|
73
|
doi:10.1109/i2ct51068.2021.9418199
|
75
|
doi:10.1109/iceee52452.2021.9415941
|
77
|
doi:10.2196/preprints.24721
|
78
|
doi:10.1101/2021.05.10.443472
|
79
|
doi:10.1109/isqed51717.2021.9424260
|
80
|
doi:10.1109/caida51941.2021.9425106
|
83
|
doi:10.1109/i2ct51068.2021.9418076
|
84
|
doi:10.1109/iceee52452.2021.9415938
|
85
|
doi:10.1109/caida51941.2021.9425085
|
87
|
doi:10.1109/i2ct51068.2021.9417813
|
88
|
doi:10.1109/i2ct51068.2021.9417882
|
89
|
doi:10.1109/i2ct51068.2021.9418109
|
90
|
doi:10.1109/i2ct51068.2021.9418178
|
91
|
doi:10.1109/caida51941.2021.9425202
|
92
|
doi:10.1109/ectidamtncon51128.2021.9425744
|
94
|
doi:10.1101/2021.05.10.443354
|
95
|
doi:10.1109/caida51941.2021.9425129
|
96
|
doi:10.1109/therminic49743.2020.9420524
|
97
|
doi:10.1109/isqed51717.2021.9424311
|
98
|
doi:10.1109/wispnet51692.2021.9419426
|
100
|
doi:10.1109/isqed51717.2021.9424331
|
103
|
doi:10.1109/iceee52452.2021.9415921
|
104
|
doi:10.1109/isqed51717.2021.9424286
|
105
|
doi:10.1109/i2ct51068.2021.9418158
|
107
|
doi:10.1109/ectidamtncon51128.2021.9425748
|
108
|
doi:10.1109/i2ct51068.2021.9418099
|
110
|
doi:10.1101/2021.05.10.443503
|
111
|
doi:10.1109/aipr50011.2020.9425094
|
112
|
doi:10.1109/i2ct51068.2021.9417921
|
113
|
doi:10.1109/i2ct51068.2021.9417936
|
114
|
doi:10.1109/i2ct51068.2021.9417935
|
115
|
doi:10.1101/2021.05.11.443477
|
116
|
doi:10.1109/isia51297.2020.9416550
|
117
|
doi:10.1109/i2ct51068.2021.9417988
|
118
|
doi:10.1109/imbioc47321.2020.9385038
|
119
|
doi:10.1109/wispnet51692.2021.9419447
|
120
|
doi:10.1101/2021.05.10.443439
|
121
|
doi:10.1109/imbioc47321.2020.9385022
|
122
|
doi:10.1101/2021.05.10.443410
|
125
|
doi:10.1109/iceee52452.2021.9415947
|
126
|
doi:10.1109/therminic49743.2020.9420520
|
127
|
doi:10.21203/rs.3.rs-491375/v1
|
128
|
doi:10.1101/2021.05.10.443415
|
129
|
doi:10.1109/i2ct51068.2021.9418062
|
130
|
doi:10.1109/ectidamtncon51128.2021.9425755
|
131
|
doi:10.1109/i2ct51068.2021.9418055
|
133
|
doi:10.2196/preprints.30010
|
134
|
doi:10.1109/lifetech52111.2021.9391865
|
135
|
doi:10.1109/aipr50011.2020.9425046
|
137
|
doi:10.1109/i2ct51068.2021.9417825
|
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