Update dataset card with improved documentation
Browse files
README.md
ADDED
|
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
pretty_name: S2ORC ArXiv
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
size_categories:
|
| 6 |
+
- 1M<n<10M
|
| 7 |
+
tags:
|
| 8 |
+
- s2orc
|
| 9 |
+
- arxiv
|
| 10 |
+
- scientific-papers
|
| 11 |
+
- nlp
|
| 12 |
+
- research
|
| 13 |
+
task_categories:
|
| 14 |
+
- text-generation
|
| 15 |
+
- summarization
|
| 16 |
+
- feature-extraction
|
| 17 |
+
---
|
| 18 |
+
|
| 19 |
+
# S2ORC ArXiv
|
| 20 |
+
|
| 21 |
+
A subset of the [Semantic Scholar Open Research Corpus (S2ORC)](https://github.com/allenai/s2orc) filtered to ArXiv papers. Contains 2.58 million parsed scientific papers with full text, abstracts, structured sections, figures, and citation metadata.
|
| 22 |
+
|
| 23 |
+
## Dataset Summary
|
| 24 |
+
|
| 25 |
+
| Statistic | Value |
|
| 26 |
+
|-----------|-------|
|
| 27 |
+
| Total papers | 2,579,762 |
|
| 28 |
+
| Total size | ~266 GB |
|
| 29 |
+
| Format | Parquet |
|
| 30 |
+
| Split | `train` |
|
| 31 |
+
|
| 32 |
+
## Dataset Structure
|
| 33 |
+
|
| 34 |
+
### Content Fields
|
| 35 |
+
|
| 36 |
+
| Field | Type | Description |
|
| 37 |
+
|-------|------|-------------|
|
| 38 |
+
| `title` | string | Paper title |
|
| 39 |
+
| `abstract` | string | Paper abstract |
|
| 40 |
+
| `text` | string | Full paper text |
|
| 41 |
+
| `sections` | list | Structured sections with `title` and `content` |
|
| 42 |
+
| `figures` | list | Figures with `id`, `caption`, and `content` |
|
| 43 |
+
| `references` | list | References with `text` and `doi` |
|
| 44 |
+
| `authors` | list | Author information |
|
| 45 |
+
|
| 46 |
+
### Identifier Fields
|
| 47 |
+
|
| 48 |
+
| Field | Type | Description |
|
| 49 |
+
|-------|------|-------------|
|
| 50 |
+
| `corpus_id` | int64 | Semantic Scholar corpus ID |
|
| 51 |
+
| `external_ids` | dict | External IDs (`arxiv`, `doi`, `mag`, `acl`, `pubmed`, `dblp`, etc.) |
|
| 52 |
+
|
| 53 |
+
### Source & Access Fields
|
| 54 |
+
|
| 55 |
+
| Field | Type | Description |
|
| 56 |
+
|-------|------|-------------|
|
| 57 |
+
| `source` | dict | PDF metadata including `pdf_urls`, `pdf_sha`, and `open_access` info |
|
| 58 |
+
|
| 59 |
+
## Usage
|
| 60 |
+
|
| 61 |
+
```python
|
| 62 |
+
from datasets import load_dataset
|
| 63 |
+
|
| 64 |
+
# stream to avoid downloading 266GB
|
| 65 |
+
ds = load_dataset("AlgorithmicResearchGroup/s2orc_arxiv", streaming=True, split="train")
|
| 66 |
+
for paper in ds:
|
| 67 |
+
print(paper["title"], len(paper["sections"]), "sections")
|
| 68 |
+
break
|
| 69 |
+
```
|
| 70 |
+
|
| 71 |
+
## Related Resources
|
| 72 |
+
|
| 73 |
+
- [S2ORC CS Enriched](https://huggingface.co/datasets/AlgorithmicResearchGroup/s2orc-cs-enriched) - CS subset with LLM-generated enrichments
|
| 74 |
+
- [Algorithmic Research Group - Open Source](https://algorithmicresearchgroup.com/opensource.html)
|
| 75 |
+
|
| 76 |
+
## Citation
|
| 77 |
+
|
| 78 |
+
```bibtex
|
| 79 |
+
@misc{s2orc_arxiv,
|
| 80 |
+
title={S2ORC ArXiv},
|
| 81 |
+
author={Algorithmic Research Group},
|
| 82 |
+
year={2024},
|
| 83 |
+
publisher={Hugging Face},
|
| 84 |
+
url={https://huggingface.co/datasets/AlgorithmicResearchGroup/s2orc_arxiv}
|
| 85 |
+
}
|
| 86 |
+
```
|