Shlok112003 commited on
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c538436
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1 Parent(s): d776310

Add dataset card and processed train/test files

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.gitattributes CHANGED
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ *.csv filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
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  ---
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  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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+ task_categories:
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+ - tabular-classification
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+ language:
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+ - en
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+ tags:
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+ - mortgage
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+ - loan-performance
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+ - fannie-mae
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+ - finance
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+ - data-mining
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+ size_categories:
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+ - 10M<n<100M
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  ---
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+
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+ # Fannie Mae Single-Family Loan Performance Dataset
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+
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+ This dataset contains Fannie Mae Single-Family Loan Performance data across multiple quarters, used for mortgage default prediction and loan performance analysis.
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+
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+ ## Dataset Structure
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+
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+ ### Raw Data (`raw/`)
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+ | File | Period | Size |
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+ |------|--------|------|
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+ | `2000Q1.csv` | Q1 2000 | ~2.3 GB |
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+ | `2005Q1.csv` | Q1 2005 | ~6.5 GB |
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+ | `2008Q1.csv` | Q1 2008 | ~5.9 GB |
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+ | `2013Q1.csv` | Q1 2013 | ~17.2 GB |
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+ | `2017Q1.csv` | Q1 2017 | ~8.4 GB |
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+ | `2020Q1.csv` | Q1 2020 | ~8.2 GB |
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+
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+ ### Processed Data (`processed/`)
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+ | File | Description | Size |
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+ |------|-------------|------|
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+ | `train_ready.csv` | Training set (preprocessed & feature-engineered) | ~80 MB |
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+ | `test_ready.csv` | Test set (preprocessed & feature-engineered) | ~75 MB |
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+
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+ ## Source
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+ 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).
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+
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+ ## Usage
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+
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+ ```python
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+ import pandas as pd
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+
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+ # Load processed data directly from Hugging Face
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+ train = pd.read_csv("https://huggingface.co/datasets/Shlok112003/Fannie_Mae_Single-Family_Loan_Performance/resolve/main/processed/train_ready.csv")
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+ test = pd.read_csv("https://huggingface.co/datasets/Shlok112003/Fannie_Mae_Single-Family_Loan_Performance/resolve/main/processed/test_ready.csv")
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+ ```
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