| --- |
| 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 |
|
|
