metadata
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.
Usage
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")