Datasetpublic

Shlok112003/Fannie_Mae_Single-Family_Loan_Performance

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… See the full description on the dataset page: https://huggingface.co/datasets/Shlok112003/Fannie_Mae_Single-Family_Loan_Performance.

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Dataset Card

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

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")