---
license: mit
task_categories:
  - tabular-classification
tags:
  - feature-engineering
  - LLM
  - automated-feature-engineering
pretty_name: KnowFeat Data and Features
---

# KnowFeat: Data, Features, and Provenance Cards

This repository contains the datasets, engineered features, domain knowledge inputs, and provenance cards for the **KnowFeat** paper on knowledge-guided automated feature engineering with large language models.

## Repository Structure

```
data/
  public/          # 7 public benchmark datasets (CSV)
  simecny/         # Compressed transaction data (CSV.GZ)
inputs/
  public_datasets/ # Domain knowledge JSONs for each dataset
  simecny/         # Domain knowledge for transaction data
outputs/
  features/        # Engineered feature CSV files produced by KnowFeat
  provenance/      # Provenance cards (JSON + Markdown) documenting feature lineage
```

## Data Description

- **data/public/**: Seven public tabular datasets used for evaluation (adult, bank_marketing, blood_transfusion, breast_w, credit_g, diabetes, heart).
- **data/simecny/**: Proprietary transaction dataset (compressed).
- **inputs/**: Domain knowledge files that guide the LLM-based feature engineering process.
- **outputs/features/**: The generated features from KnowFeat and baseline methods.
- **outputs/provenance/**: Provenance cards that record how each feature was created, including the LLM reasoning and statistical verification results.

## Usage

These artifacts can be used to:
1. Reproduce the experimental results from the KnowFeat paper
2. Inspect the provenance of engineered features
3. Benchmark new feature engineering methods against KnowFeat outputs

## License

MIT