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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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