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language:
- en
license: cc-by-4.0
task_categories:
- text-generation
- text-retrieval
tags:
- physics
- arxiv
- scientific-text
- ontology
- sections
configs:
- config_name: quantum-physics
data_files:
- split: train
path: "quantum-physics/train-*.parquet"
---
# Physics Corpus — `konsman/physics-corpus`
arXiv physics papers exported from a PostgreSQL mirror of the Kaggle arXiv dataset,
structured for ontology extraction and downstream NLP pipelines.
## Configuration: `quantum-physics`
arXiv categories included: `quant-ph`, `hep-th`, `gr-qc`
## Schema
| Field | Type | Description |
|-------|------|-------------|
| `paper_id` | string | `arxiv:<id>v<n>` — stable across pipeline runs |
| `arxiv_id` | string | Base arXiv ID without version suffix |
| `arxiv_version` | int32 | Version number (for deduplication) |
| `doi` | string | DOI or empty string |
| `content_hash` | string | SHA-256 of `full_text` — for delta detection |
| `title` | string | Paper title |
| `abstract` | string | Paper abstract |
| `authors` | list[string] | Author names |
| `arxiv_categories` | list[string] | e.g. `["hep-th", "gr-qc"]` |
| `primary_category` | string | First listed category |
| `journal` | string | Journal reference or empty string |
| `keywords` | list[string] | Keywords (empty if unavailable) |
| `submission_date` | string | ISO date of first submission |
| `processed_date` | string | ISO date this record was exported |
| `full_text` | string | All section texts joined by `\n\n` |
| `sections` | list | Structured sections (see below) |
### Section fields
| Field | Type | Description |
|-------|------|-------------|
| `section_type` | string | `TITLE` / `ABSTRACT` / `BACKGROUND` / `METHOD` / `RESULTS` / `DISCUSSION` / `CONCLUSION` / `OTHER` |
| `section_title` | string | Raw heading text, e.g. `3. Experimental Setup` |
| `text` | string | Section body text |
## Record structure
Each row is one paper. `sections` is a list of objects — one per section:
```json
{
"paper_id": "arxiv:2401.00123v2",
"arxiv_id": "2401.00123",
"arxiv_version": 2,
"title": "...",
"abstract": "...",
"authors": ["Author A", "Author B"],
"arxiv_categories": ["quant-ph"],
"primary_category": "quant-ph",
"full_text": "Introduction text\n\nMethod text\n\n...",
"sections": [
{"section_type": "BACKGROUND", "section_title": "1. Introduction", "text": "..."},
{"section_type": "METHOD", "section_title": "2. Methods", "text": "..."},
{"section_type": "RESULTS", "section_title": "3. Results", "text": "..."}
]
}
```
## Usage
```python
from datasets import load_dataset
ds = load_dataset("konsman/physics-corpus", "quantum-physics", split="train")
for paper in ds:
print(paper["paper_id"], paper["primary_category"])
for sec in paper["sections"]:
print(sec["section_type"], sec["section_title"], sec["text"][:80])
```
## Source
Papers are sourced from the
[Kaggle arXiv dataset](https://www.kaggle.com/datasets/Cornell-University/arxiv)
via a PostgreSQL mirror. Only papers with a JOIN match in the metadata table are
included (≥ 96% of sections have a match).
## License
Dataset card and structure: CC-BY-4.0.
Paper texts are subject to the individual arXiv paper licenses.
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