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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'TIBKAT:1738662721' as a scalar of type int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2006, in array_cast
                  return array.cast(pa_type)
                         ~~~~~~~~~~^^^^^^^^^
                File "pyarrow/array.pxi", line 1147, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                  result = GetResultValue(
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Failed to parse string: 'TIBKAT:1738662721' as a scalar of type int64
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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id
int64
predicted_domain
string
100,000,028
Biomedical Engineering and Bioengineering
100,000,035
Electrical Engineering and Information Technology
100,000,052
Social and Behavioral Sciences
100,000,053
Aerospace Engineering
100,000,059
Social and Behavioral Sciences
100,000,071
Engineering
100,000,159
Aerospace Engineering
100,000,174
Computer Engineering
100,000,186
Social and Behavioral Sciences
100,000,195
Operations Research, Systems Engineering and Industrial Engineering
100,000,207
Social and Behavioral Sciences
100,000,215
Electrical Engineering and Information Technology
100,000,216
Electrical and Computer Engineering
100,000,284
Computer Engineering
100,000,333
Medicine
100,000,358
Water Research
100,000,373
Electrical and Computer Engineering
100,000,382
Social and Behavioral Sciences
100,000,445
Engineering
100,000,602
Public Affairs, Public Policy and Public Administration
100,000,605
Social and Behavioral Sciences
100,000,611
Engineering
100,000,643
Computer Engineering
100,000,647
Computer Engineering
100,000,659
Computational Engineering
100,000,683
Engineering
100,000,694
Energy Process Engineering
100,000,709
Electrical and Computer Engineering
100,000,714
Social and Behavioral Sciences
100,000,727
Biomedical Engineering and Bioengineering
100,000,779
Electrical Engineering and Information Technology
100,000,782
Computer Engineering
100,000,823
Arts and Humanities
100,000,867
Social and Behavioral Sciences
100,000,916
Materials Science and Engineering
100,000,936
Nursing Pharmacology, Toxicology and Environmental Health
100,000,939
Engineering
100,000,946
Biomedical Engineering and Bioengineering
100,000,979
Computer Engineering
100,001
Arts and Humanities
100,001,074
Ecology and Evolutionary Biology
100,001,088
Social and Behavioral Sciences
100,001,112
Electrical Engineering and Information Technology
100,001,132
Social and Behavioral Sciences
100,001,142
Computer Engineering
100,001,154
Electrical Engineering and Information Technology
100,001,202
Computer Sciences
100,001,237
Computer Engineering
100,001,254
Social and Behavioral Sciences
100,001,292
Civil and Environmental Engineering
100,001,295
Biomedical Engineering and Bioengineering
100,001,307
Social and Cultural Anthropology and Ethnology
100,001,330
Computational Engineering
100,001,343
Social and Behavioral Sciences
100,001,346
Arts and Humanities
100,001,376
Social and Behavioral Sciences
100,001,378
Biomedical Engineering and Bioengineering
100,001,386
Social and Behavioral Sciences
100,001,400
Life Sciences
100,001,435
Computer Sciences
100,001,437
Social and Behavioral Sciences
100,001,460
Social and Behavioral Sciences
100,001,495
Economics
100,001,498
Computer Sciences
100,001,502
Social and Behavioral Sciences
100,001,513
Social and Behavioral Sciences
100,001,524
Computer Engineering
100,001,554
Oceanography and Atmospheric Sciences and Meteorology
100,001,571
Engineering
100,001,590
Public Health
100,001,605
Engineering
100,001,650
Social and Behavioral Sciences
100,001,669
Engineering
100,001,691
Computer Engineering
100,001,727
Biomedical Engineering and Bioengineering
100,001,735
Computer Engineering
100,001,738
Engineering
100,001,790
Social and Behavioral Sciences
100,001,808
Mathematics
100,001,871
Electrical and Computer Engineering
100,001,873
Social and Behavioral Sciences
100,001,886
Social and Behavioral Sciences
100,001,889
Biomedical Engineering and Bioengineering
100,001,903
Neuroscience and Neurobiology
100,001,905
Computer Engineering
100,001,910
Earth Sciences
100,001,928
Engineering Science and Materials
100,001,933
Economics
100,001,985
Biomedical Engineering and Bioengineering
100,001,989
Computer Sciences
100,002,002
Electrical and Computer Engineering
100,002,030
Biomedical Engineering and Bioengineering
100,002,057
Biomedical Engineering and Bioengineering
100,002,073
Life Sciences
100,002,098
Biomedical Engineering and Bioengineering
100,002,105
Computer Engineering
100,002,165
Computer Engineering
100,002,186
Engineering
100,002,190
Social and Behavioral Sciences
100,002,214
Electrical and Computer Engineering
End of preview.

ORKG Core Domain Classifier — Metadata

Update Date: 2026-08-12

Research-domain labels produced by the ORKG Core Domain Classifier for documents in the CORE corpus — one row per document.

The classifier that produces this file lives at https://gitlab.com/TIBHannover/orkg/nlp/experiments/core-domain-classifier. This card and the CSV are written by python -m app.publish_to_hf in that repository, so please do not edit them by hand.

Usage

from datasets import load_dataset

dataset = load_dataset("MikeACedric/domain_classifier", split="train")

Schema

Column Description
id CORE document id
predicted_domain research domain assigned by the classifier

📊 Current Stats — v2 (2026-08-12)

Total Classified Records: 39,231,545

Classification Label Count Percentage (%)
Arts and Humanities 3,953,173 10.08%
Engineering 1,476,008 3.76%
Life Sciences 1,285,257 3.28%
Physical Sciences and Mathematics 519,981 1.33%
Social and Behavioral Sciences 9,328,927 23.78%
Aerospace Engineering 305,339 0.78%
Biomedical Engineering and Bioengineering 4,101,196 10.45%
Chemical Engineering 490,911 1.25%
Civil and Environmental Engineering 818,684 2.09%
Computer Engineering 1,034,389 2.64%
Computational Engineering 457,227 1.17%
Electrical Engineering and Information Technology 857,184 2.18%
Electrical and Computer Engineering 543,025 1.38%
Energy Process Engineering 206,730 0.53%
Engineering Science and Materials 748,965 1.91%
Materials Engineering 132,333 0.34%
Materials Science and Engineering 131,234 0.33%
Mechanical Engineering 176,821 0.45%
Nanoscience and Nano Technology 49,697 0.13%
Nuclear Engineering 74,247 0.19%
Operations Research, Systems Engineering and Industrial Engineering 529,849 1.35%
Production Technology 37,095 0.09%
Plastics Engineering 63,695 0.16%
American Studies 211,004 0.54%
Classics 86,934 0.22%
Comparative Literature 111,733 0.28%
Educational Research 469,884 1.20%
English Language and Literature 67,833 0.17%
Religion 167,125 0.43%
History 769,054 1.96%
History of Art, Architecture and Archaelogy 554,472 1.41%
Language, Societies and Cultures 69,401 0.18%
Literary Studies 214,083 0.55%
Musicology 60,994 0.16%
Philosophy 168,908 0.43%
Animal Sciences 130,779 0.33%
Agriculture, Forestry and Veterinary Medicine 593,731 1.51%
Biochemistry, Biophysics, and Structural Biology 143,281 0.37%
Bioinformatics 38,110 0.10%
Biotechnolgy 50,383 0.13%
Public Health 468,651 1.19%
Systems Biology 39,048 0.10%
Physiology 84,241 0.21%
Nutrition 26,585 0.07%
Nursing Pharmacology, Toxicology and Environmental Health 130,852 0.33%
Neuroscience and Neurobiology 261,157 0.67%
Microbiology 105,910 0.27%
Medicine 656,299 1.67%
Immunology and Infectious diseases 353,044 0.90%
Genetics and Genomics 75,176 0.19%
Forestry and Forest Sciences 123,348 0.31%
Entomology Food Science 101,997 0.26%
Ecology and Evolutionary Biology 233,671 0.60%
Cell and Developmental Biology 37,337 0.10%
Water Research 136,321 0.35%
Statistics and Probability 55,475 0.14%
Polymer Research 13,810 0.04%
Statistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics 21,808 0.06%
Physics 886,856 2.26%
Particles, Nuclei and Fields 31,182 0.08%
Optics, Quantum Optics and Physics of Atoms, Molecules and Plasmas 54,821 0.14%
Oceanography and Atmospheric Sciences and Meteorology 252,715 0.64%
Mineralogy, Petrology and Geochemistry 13,269 0.03%
Oceanography 15,931 0.04%
Mathematics 412,269 1.05%
Computer Sciences 762,400 1.94%
Earth Sciences 393,671 1.00%
Applied Mathematics 21,358 0.05%
Chemistry 102,301 0.26%
Chemical Solid State and Surface Research 8,262 0.02%
Astrophysics and Astronomy 213,178 0.54%
Urban Studies and Planning 196,726 0.50%
Sociology 7,277 0.02%
Social and Cultural Anthropology and Ethnology 82,798 0.21%
Social Sciences 386,921 0.99%
Political Science 150,514 0.38%
Psychology 88,587 0.23%
Public Affairs, Public Policy and Public Administration 214,967 0.55%
Linguistics 24,903 0.06%
Jurisprudence 31,832 0.08%
Economics 377,920 0.96%
Communication Sciences 208,964 0.53%
Agricultural and Resource Economics 28,447 0.07%
Language, Socieities and Cultures 109,070 0.28%

🕓 Revision History

Version Update Date Records Change
v2 2026-08-12 39,231,545 +30,698,137 records vs v1
v1 2026-08-12 8,533,408 first release
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