---
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](https://core.ac.uk/) 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](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.

<!-- ORKG-METADATA-SYNC:START -->
### 📊 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

```python
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 |
<!-- ORKG-METADATA-SYNC:END -->