Datasets:
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
scientific-papers
arxiv
citation-prediction
author-prediction
collaboration-prediction
research-forecasting
License:
Update paper link and citation
Browse files
README.md
CHANGED
|
@@ -156,11 +156,14 @@ Embeddings are not included in this dataset, but can be computed using the `data
|
|
| 156 |
## Citation
|
| 157 |
|
| 158 |
```bibtex
|
| 159 |
-
@
|
| 160 |
-
|
| 161 |
-
|
| 162 |
-
|
| 163 |
-
|
|
|
|
|
|
|
|
|
|
| 164 |
}
|
| 165 |
```
|
| 166 |
|
|
@@ -171,4 +174,4 @@ ODC-BY License
|
|
| 171 |
## Links
|
| 172 |
|
| 173 |
- **Repository**: https://github.com/allenai/prescience
|
| 174 |
-
- **Paper**:
|
|
|
|
| 156 |
## Citation
|
| 157 |
|
| 158 |
```bibtex
|
| 159 |
+
@misc{ajith2026presciencebenchmarkforecastingscientific,
|
| 160 |
+
title={PreScience: A Benchmark for Forecasting Scientific Contributions},
|
| 161 |
+
author={Anirudh Ajith and Amanpreet Singh and Jay DeYoung and Nadav Kunievsky and Austin C. Kozlowski and Oyvind Tafjord and James Evans and Daniel S. Weld and Tom Hope and Doug Downey},
|
| 162 |
+
year={2026},
|
| 163 |
+
eprint={2602.20459},
|
| 164 |
+
archivePrefix={arXiv},
|
| 165 |
+
primaryClass={cs.AI},
|
| 166 |
+
url={https://arxiv.org/abs/2602.20459},
|
| 167 |
}
|
| 168 |
```
|
| 169 |
|
|
|
|
| 174 |
## Links
|
| 175 |
|
| 176 |
- **Repository**: https://github.com/allenai/prescience
|
| 177 |
+
- **Paper**: https://arxiv.org/abs/2602.20459
|