---
license: mit
task_categories:
  - tabular-classification
language:
  - en
tags:
  - mortgage
  - loan-performance
  - fannie-mae
  - finance
  - data-mining
size_categories:
  - 10M<n<100M
---

# Fannie Mae Single-Family Loan Performance Dataset

This dataset contains Fannie Mae Single-Family Loan Performance data across multiple quarters, used for mortgage default prediction and loan performance analysis.

## Dataset Structure

### Raw Data (`raw/`)
| File | Period | Size |
|------|--------|------|
| `2000Q1.csv` | Q1 2000 | ~2.3 GB |
| `2005Q1.csv` | Q1 2005 | ~6.5 GB |
| `2008Q1.csv` | Q1 2008 | ~5.9 GB |
| `2013Q1.csv` | Q1 2013 | ~17.2 GB |
| `2017Q1.csv` | Q1 2017 | ~8.4 GB |
| `2020Q1.csv` | Q1 2020 | ~8.2 GB |

### Processed Data (`processed/`)
| File | Description | Size |
|------|-------------|------|
| `train_ready.csv` | Training set (preprocessed & feature-engineered) | ~80 MB |
| `test_ready.csv` | Test set (preprocessed & feature-engineered) | ~75 MB |

## Source
Data sourced from [Fannie Mae Single-Family Loan Performance Data](https://capitalmarkets.fanniemae.com/credit-risk-transfer/single-family-credit-risk-transfer/fannie-mae-single-family-loan-performance-data).

## Usage

```python
import pandas as pd

# Load processed data directly from Hugging Face
train = pd.read_csv("https://huggingface.co/datasets/Shlok112003/Fannie_Mae_Single-Family_Loan_Performance/resolve/main/processed/train_ready.csv")
test = pd.read_csv("https://huggingface.co/datasets/Shlok112003/Fannie_Mae_Single-Family_Loan_Performance/resolve/main/processed/test_ready.csv")
```