| # AI-NativeBench Data |
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| This `data/` directory contains the dataset for **"AI-NativeBench: An Open-Source White-Box Agentic Benchmark Suite for AI-Native Systems"**. |
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| It is split into two parts: |
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| - `raw/`: original, unmodified experimental data organized by model and task/architecture. |
| - `processed/`: derived run artifacts, aggregated tables, figures, and analysis scripts built on top of the raw traces. |
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| ## Directory overview |
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| ```text |
| data/ |
| ├── raw/ # Raw experimental data (per-model, per task/architecture) |
| └── processed/ # Processed results, aggregation outputs, figures, and scripts |
| ``` |
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| ## `raw/` (raw experimental data) |
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| - Organized hierarchically by **Model → Application/Architecture**. |
| - Provides a white-box view of executions, including distributed tracing data. |
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| See `raw/README.md` for the full model list and task/architecture folder naming. |
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| ## `processed/` (results & analysis artifacts) |
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| - Contains per-run outputs (e.g., `langfuse_trace.json`, extracted `execution_path.md`, run `metadata.json`, and task outputs). |
| - Includes RQ-level analysis artifacts under `RQ1/`, `RQ2/`, `RQ3/` (CSVs, PDFs, and plotting/aggregation scripts). |
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| See `processed/README.md` for the detailed layout and reproduction entry points. |
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