FOS: A Large-Scale Temporal Graph Benchmark for Scientific Interdisciplinary Link Prediction
Paper
•
2511.18631
•
Published
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 ({'2003', 'C148761745', 'C536366893'}) and 3 missing columns ({'C144133560', '2002', 'C121955636'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Morteza24/future-of-science/Art_Business/edges/2003.csv (at revision b434c5adb354dcd2ec83963e96bc9d154c552e68)
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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
C148761745: string
C536366893: string
2003: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 608
to
{'C121955636': Value('string'), 'C144133560': Value('string'), '2002': Value('int64')}
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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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 ({'2003', 'C148761745', 'C536366893'}) and 3 missing columns ({'C144133560', '2002', 'C121955636'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Morteza24/future-of-science/Art_Business/edges/2003.csv (at revision b434c5adb354dcd2ec83963e96bc9d154c552e68)
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.
C121955636
string | C144133560
string | 2002
int64 |
|---|---|---|
C121955636
|
C196083921
| 2,002
|
C144133560
|
C196083921
| 2,002
|
C124952713
|
C142362112
| 2,002
|
C124952713
|
C94389720
| 2,002
|
C142362112
|
C94389720
| 2,002
|
C2776462828
|
C55214782
| 2,002
|
C2776462828
|
C83646750
| 2,002
|
C55214782
|
C83646750
| 2,002
|
C144133560
|
C162853370
| 2,002
|
C144133560
|
C2780378061
| 2,002
|
C162853370
|
C2780378061
| 2,002
|
C128481406
|
C169081014
| 2,002
|
C128481406
|
C2780273408
| 2,002
|
C128481406
|
C28213024
| 2,002
|
C128481406
|
C74916050
| 2,002
|
C169081014
|
C2780273408
| 2,002
|
C169081014
|
C28213024
| 2,002
|
C169081014
|
C74916050
| 2,002
|
C2780273408
|
C28213024
| 2,002
|
C2780273408
|
C74916050
| 2,002
|
C28213024
|
C74916050
| 2,002
|
C142362112
|
C52119013
| 2,002
|
C124952713
|
C12713177
| 2,002
|
C124952713
|
C7991579
| 2,002
|
C12713177
|
C142362112
| 2,002
|
C12713177
|
C7991579
| 2,002
|
C142362112
|
C7991579
| 2,002
|
C112930515
|
C144133560
| 2,002
|
C2779157386
|
C52069626
| 2,002
|
C2779157386
|
C52119013
| 2,002
|
C52069626
|
C52119013
| 2,002
|
C142362112
|
C74916050
| 2,002
|
C10138342
|
C120310109
| 2,002
|
C10138342
|
C120527767
| 2,002
|
C10138342
|
C144133560
| 2,002
|
C10138342
|
C183582576
| 2,002
|
C10138342
|
C197142791
| 2,002
|
C10138342
|
C200870193
| 2,002
|
C10138342
|
C202189257
| 2,002
|
C10138342
|
C2778489760
| 2,002
|
C10138342
|
C69738904
| 2,002
|
C10138342
|
C73283319
| 2,002
|
C10138342
|
C90994476
| 2,002
|
C120310109
|
C120527767
| 2,002
|
C120310109
|
C144133560
| 2,002
|
C120310109
|
C183582576
| 2,002
|
C120310109
|
C197142791
| 2,002
|
C120310109
|
C200870193
| 2,002
|
C120310109
|
C202189257
| 2,002
|
C120310109
|
C2778489760
| 2,002
|
C120310109
|
C69738904
| 2,002
|
C120310109
|
C73283319
| 2,002
|
C120310109
|
C90994476
| 2,002
|
C120527767
|
C144133560
| 2,002
|
C120527767
|
C183582576
| 2,002
|
C120527767
|
C197142791
| 2,002
|
C120527767
|
C200870193
| 2,002
|
C120527767
|
C202189257
| 2,002
|
C120527767
|
C2778489760
| 2,002
|
C120527767
|
C69738904
| 2,002
|
C120527767
|
C73283319
| 2,002
|
C120527767
|
C90994476
| 2,002
|
C144133560
|
C183582576
| 2,002
|
C144133560
|
C197142791
| 2,002
|
C144133560
|
C200870193
| 2,002
|
C144133560
|
C202189257
| 2,002
|
C144133560
|
C2778489760
| 2,002
|
C144133560
|
C69738904
| 2,002
|
C144133560
|
C73283319
| 2,002
|
C144133560
|
C90994476
| 2,002
|
C183582576
|
C197142791
| 2,002
|
C183582576
|
C200870193
| 2,002
|
C183582576
|
C202189257
| 2,002
|
C183582576
|
C2778489760
| 2,002
|
C183582576
|
C69738904
| 2,002
|
C183582576
|
C73283319
| 2,002
|
C183582576
|
C90994476
| 2,002
|
C197142791
|
C200870193
| 2,002
|
C197142791
|
C202189257
| 2,002
|
C197142791
|
C2778489760
| 2,002
|
C197142791
|
C69738904
| 2,002
|
C197142791
|
C73283319
| 2,002
|
C197142791
|
C90994476
| 2,002
|
C200870193
|
C202189257
| 2,002
|
C200870193
|
C2778489760
| 2,002
|
C200870193
|
C69738904
| 2,002
|
C200870193
|
C73283319
| 2,002
|
C200870193
|
C90994476
| 2,002
|
C202189257
|
C2778489760
| 2,002
|
C202189257
|
C69738904
| 2,002
|
C202189257
|
C73283319
| 2,002
|
C202189257
|
C90994476
| 2,002
|
C2778489760
|
C69738904
| 2,002
|
C2778489760
|
C73283319
| 2,002
|
C2778489760
|
C90994476
| 2,002
|
C69738904
|
C73283319
| 2,002
|
C69738904
|
C90994476
| 2,002
|
C73283319
|
C90994476
| 2,002
|
C142362112
|
C15708023
| 2,002
|
C15708023
|
C52119013
| 2,002
|
This is the official dataset for the paper "FOS: A Large-Scale Temporal Graph Benchmark for Scientific Interdisciplinary Link Prediction" (arXiv: https://www.arxiv.org/abs/2511.18631).