---
title: "Credit scoring and lending data datasets"
description: "Datasets in the category “Credit scoring and lending data” were mentioned in 7 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #40 of the 58 data categories mentioned."
url: https://scholar4ai.com/datasets/credit-scoring-and-lending-data
markdown_url: https://scholar4ai.com/datasets/credit-scoring-and-lending-data.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T13:22:50+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Credit scoring and lending data

Loan-level lending data and the public datasets used to train credit-scoring models.

- 0 papers in the last 7 days
- 4 of its 8 datasets mentioned

Back to the ranking: https://scholar4ai.com/rankings/datasets.md

## Key findings

- Datasets in the category “Credit scoring and lending data” were mentioned in 7 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #40 of the 58 data categories mentioned.
- The most-mentioned were LendingClub (3), German Credit (UCI Statlog) (2), Credit bureaus (Equifax, Experian, TransUnion) (1) and Taiwan credit card default (UCI) (1).
- By journal category: Finance (3), AI (2), Management (1) and Economics (1).
- Most of them appeared in Financial Innovation (2), Artificial Intelligence Review (1) and Future Business Journal (1).

## Datasets

*Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)*

| Dataset | Papers | Last 7 days | Names searched for |
|---|---:|---:|---|
| LendingClub | 3 | 0 | LendingClub, Lending Club |
| German Credit (UCI Statlog) | 2 | 0 | German credit, Statlog |
| Credit bureaus (Equifax, Experian, TransUnion) | 1 | 0 | Equifax, Experian, TransUnion, credit bureau |
| Taiwan credit card default (UCI) | 1 | 0 | default of credit card clients, Taiwan credit card, Taiwanese credit card |
| Australian Credit (UCI) | 0 | 0 | Australian credit |
| Give Me Some Credit | 0 | 0 | Give Me Some Credit |
| Home Credit | 0 | 0 | Home Credit |
| Prosper | 0 | 0 | Prosper Marketplace, Prosper.com, Prosper loan, Prosper data |

## Papers

*Papers mentioning these datasets, newest first.*

| Date | Title | Journal | Authors | Affiliations | Datasets mentioned |
|---|---|---|---|---|---|
| 2026-10-17 | [Language modeling on tabular data: a survey of foundations, techniques and evolution](https://doi.org/10.1007/s10462-026-11726-z) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Yucheng Ruan, Xiang Lan, Jingying Ma et al. | National University of Singapore; Institute of Data Science | German Credit (UCI Statlog) |
| 2026-10-16 | [Generative deep learning for class imbalance in credit risk modeling: comparative evaluation of synthetic oversampling methods and an elastic oversampling extension](https://doi.org/10.1186/s40854-026-00970-5) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Tae Yeon Kwon | Hankuk University of Foreign Studies | Taiwan credit card default (UCI) |
| 2026-10-16 | [Public technical disclosure of AI implementation in finance: Python-framed evidence from 253 NYSE-listed financial companies](https://doi.org/10.1186/s40854-026-00979-w) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Veliota Drakopoulou | Embry–Riddle Aeronautical University | LendingClub |
| 2026-10-13 | [Digital financial inclusion and SME performance: a structural equation modeling analysis of FinTech adoption impact in emerging markets](https://doi.org/10.1186/s43093-026-01024-z) | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | Rodrigo Bochner |  | LendingClub |
| 2026-10-01 | [Predicting repayment delays in Italian real estate crowdfunding: Evidence from a machine learning approach](https://doi.org/10.1016/j.jeconbus.2026.106343) | [Journal of Economics and Business](https://scholar4ai.com/journals/journal-of-economics-and-business.md) | Mattia Fasano, Ivan Nania, Raffaele Staglianò | University of Messina | LendingClub |
| 2026-10-01 | [Trade finance systems and global value chain participation: Global evidence with insights from Africa](https://doi.org/10.1016/j.ecosys.2026.101454) | [Economic Systems](https://scholar4ai.com/journals/economic-systems.md) | Klavdij Logožar, Carin Strydom | University of Maribor; North-West University | Credit bureaus (Equifax, Experian, TransUnion) |
| 2026-09-28 | [CausalCACTUS: A Causally Consistent and Context-Aware Framework for Counterfactual Explanations](https://doi.org/10.1007/s10994-026-07155-2) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Zhendong Wang, Diego García, José María Enguita et al. | KTH Royal Institute of Technology; Universidad de Oviedo | German Credit (UCI Statlog) |

## Cite this page

Scholar4AI. (2026). Credit scoring and lending data. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/credit-scoring-and-lending-data

```bibtex
@misc{scholar4ai-datasets-credit-scoring-and-lending-data,
  author = {{Scholar4AI}},
  title = {Credit scoring and lending data},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/credit-scoring-and-lending-data}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).