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v4: +0 added, 200,000 updated, 0 deleted (8,732,353 rows total) — Update Date: 2026-09-20
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metadata
pretty_name: ORKG Core Domain Classifier  Metadata
license: mit
language:
  - en
task_categories:
  - text-classification
size_categories:
  - 1M<n<10M
tags:
  - orkg
  - core
  - scholarly
  - research-domains
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*.parquet

ORKG Core Domain Classifier — Metadata

Update Date: 2026-09-20

Research-domain labels produced by the ORKG Core Domain Classifier for documents in the CORE corpus. One row per document: the document id and the domain the classifier assigned to it.

The classifier that generates this dataset lives at https://gitlab.com/TIBHannover/orkg/nlp/experiments/core-domain-classifier.

This dataset is rebuilt by python -m app.run_hf_sync from that repository — new classifications are added, re-classified documents are overwritten in place, and each run is tagged with a version. Do not edit the Parquet files by hand.

📊 Current Stats — version v4 (2026-09-20)

Total Classified Records: 8,732,353

Classification Label Count Percentage (%)
Arts and Humanities 1,124,474 12.88%
Engineering 370,709 4.25%
Life Sciences 306,968 3.52%
Physical Sciences and Mathematics 154,592 1.77%
Social and Behavioral Sciences 2,136,312 24.46%
Aerospace Engineering 70,005 0.80%
Biomedical Engineering and Bioengineering 1,103,084 12.63%
Chemical Engineering 112,523 1.29%
Civil and Environmental Engineering 207,966 2.38%
Computer Engineering 224,589 2.57%
Computational Engineering 134,410 1.54%
Electrical Engineering and Information Technology 195,501 2.24%
Electrical and Computer Engineering 119,870 1.37%
Energy Process Engineering 45,581 0.52%
Engineering Science and Materials 171,741 1.97%
Materials Engineering 23,530 0.27%
Materials Science and Engineering 6,159 0.07%
Mechanical Engineering 30,712 0.35%
Nanoscience and Nano Technology 5,551 0.06%
Nuclear Engineering 210,187 2.41%
Operations Research, Systems Engineering and Industrial Engineering 85,787 0.98%
Production Technology 5,863 0.07%
Plastics Engineering 433 0.00%
American Studies 77,531 0.89%
Classics 6,702 0.08%
Educational Research 63,452 0.73%
English Language and Literature 12,841 0.15%
Religion 6,869 0.08%
History 61,029 0.70%
History of Art, Architecture and Archaelogy 46,901 0.54%
Literary Studies 4,405 0.05%
Musicology 1,626 0.02%
Philosophy 26,733 0.31%
Animal Sciences 14,016 0.16%
Agriculture, Forestry and Veterinary Medicine 125,851 1.44%
Biochemistry, Biophysics, and Structural Biology 26,136 0.30%
Bioinformatics 1,597 0.02%
Biotechnolgy 2 0.00%
Public Health 97,974 1.12%
Systems Biology 6,688 0.08%
Physiology 1,455 0.02%
Nutrition 1,664 0.02%
Nursing Pharmacology, Toxicology and Environmental Health 25,476 0.29%
Neuroscience and Neurobiology 35,270 0.40%
Microbiology 5,600 0.06%
Medicine 96,337 1.10%
Immunology and Infectious diseases 21,169 0.24%
Genetics and Genomics 2,034 0.02%
Forestry and Forest Sciences 12,303 0.14%
Entomology Food Science 13,302 0.15%
Ecology and Evolutionary Biology 35,307 0.40%
Cell and Developmental Biology 3,699 0.04%
Water Research 9,844 0.11%
Statistics and Probability 8,486 0.10%
Polymer Research 265 0.00%
Statistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics 290 0.00%
Physics 171,522 1.96%
Particles, Nuclei and Fields 936 0.01%
Optics, Quantum Optics and Physics of Atoms, Molecules and Plasmas 4,273 0.05%
Oceanography and Atmospheric Sciences and Meteorology 50,942 0.58%
Mineralogy, Petrology and Geochemistry 778 0.01%
Oceanography 1,148 0.01%
Mathematics 85,017 0.97%
Computer Sciences 198,701 2.28%
Earth Sciences 94,322 1.08%
Applied Mathematics 6,449 0.07%
Chemistry 18,998 0.22%
Chemical Solid State and Surface Research 227 0.00%
Astrophysics and Astronomy 44,353 0.51%
Urban Studies and Planning 29,657 0.34%
Sociology 468 0.01%
Social and Cultural Anthropology and Ethnology 13,311 0.15%
Social Sciences 98,622 1.13%
Political Science 10,755 0.12%
Psychology 7,787 0.09%
Public Affairs, Public Policy and Public Administration 44,019 0.50%
Linguistics 3,110 0.04%
Jurisprudence 3,012 0.03%
Economics 72,952 0.84%
Communication Sciences 31,718 0.36%
Agricultural and Resource Economics 10,521 0.12%
Language, Socieities and Cultures 27,647 0.32%
Comparative Literature 1,707 0.02%

Schema

Column Description
id string — CORE document id
predicted_domain string — research domain assigned by the classifier
updated_at string (YYYY-MM-DD) — date this row was last written

Usage

from datasets import load_dataset

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

# a specific release (every sync is tagged):
pinned = load_dataset("MikeACedric/domain_classifier_demo", split="train", revision="v4")

Version history

Version Update Date Rows Added Updated Deleted
v4 2026-09-20 8,732,353 0 200,000 0
v3 2026-09-15 8,732,353 199,945 55 0
v2 2026-09-01 8,532,408 0 100,000 1,000
v1 2026-08-06 8,533,408 8,533,408 0 0