| --- |
| license: other |
| license_name: bsl-1.1 |
| license_link: https://github.com/pCwOrM/werr/blob/main/LICENSE |
| task_categories: |
| - text-classification |
| - zero-shot-classification |
| - feature-extraction |
| language: |
| - en |
| - tr |
| tags: |
| - edge-ai |
| - zero-vram |
| - fractal-neural-synthesis |
| - reflex-ai |
| - system-1 |
| - mandelbrot |
| - decision-making |
| size_categories: |
| - 1K<n<10K |
| dataset_info: |
| features: |
| - name: id |
| dtype: int64 |
| - name: timestamp |
| dtype: string |
| - name: received_at |
| dtype: string |
| - name: source |
| dtype: string |
| - name: version |
| dtype: string |
| - name: seed |
| struct: |
| - name: cx |
| dtype: float64 |
| - name: cy |
| dtype: float64 |
| - name: zoom |
| dtype: float64 |
| - name: state_summary |
| dtype: string |
| - name: questions |
| list: |
| - name: name |
| dtype: string |
| - name: type |
| dtype: string |
| - name: instruction |
| dtype: string |
| - name: decision |
| dtype: string |
| - name: probability |
| dtype: float64 |
| - name: confidence |
| dtype: float64 |
| - name: probabilities |
| dtype: string |
| - name: latency_ms |
| dtype: float64 |
| splits: |
| - name: train |
| num_bytes: 1462486 |
| num_examples: 1205 |
| --- |
| |
| # WERR Open Decisions Benchmark Dataset |
|
|
| Official benchmark dataset accompanying the research paper: |
| **"Universal Fractal Natural Language Decision Map: Real-Time Edge Triage Across Heterogeneous Domains"** |
| [arXiv:2609.25498](https://arxiv.org/abs/2609.25498) |
|
|
| ## 📌 Dataset Summary |
|
|
| `werr_open_decisions` contains **1,205 verified decision trajectories** and over **3,200 evaluation questions** evaluated using the **WERR (Waves & Errors)** machine-native zero-VRAM reflex engine and the production [answerr.me](https://answerr.me) platform. |
|
|
| Unlike conventional neural networks storing millions of static tensor parameters, each decision is procedurally synthesized from a **24-byte Mandelbrot coordinate seed** $\Theta = (c_x, c_y, \text{zoom})$ evaluating non-linear escape dynamics along the chaotic boundary of the Mandelbrot set $\mathbb{M}$. |
|
|
| ### Decision Primitives: |
| 1. **`noul` (Boolean / Binary):** Instant binary triage (e.g. permit / reject, anomaly detection, panic trip). |
| 2. **`choice` (Categorical):** Multi-class routing across discrete destination microservices. |
| 3. **`score` (Ordinal / Continuous):** Multi-tier risk severity scoring (0–3 scale). |
|
|
| ## 🚀 Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load directly from Hugging Face Hub |
| dataset = load_dataset("pCwOrM/werr_open_decisions") |
| |
| # Inspect the first decision |
| print(dataset["train"][0]) |
| ``` |
|
|
| ## 📊 Dataset Structure |
|
|
| Each JSONL record represents an operational decision event: |
| - `id`: Monotonic event identifier. |
| - `seed`: 24-byte coordinate seed `(cx, cy, zoom)` on the complex plane $\mathbb{C}$. |
| - `state_summary`: Operational state features (user role, error rates, frequency, telemetry). |
| - `questions`: Array of strongly-typed decision probes (`noul`, `choice`, `score`) with computed confidence and probability distributions. |
| - `latency_ms`: Measured end-to-end evaluation latency on CPU hardware (sub-2ms reflex execution). |
|
|
| ## 🏛️ Citation |
|
|
| ```bibtex |
| @article{dagli2026universal, |
| title={Universal Fractal Natural Language Decision Map: Real-Time Edge Triage Across Heterogeneous Domains}, |
| author={Da{\u{g}}l{\i}, Volkan and Da{\u{g}}l{\i}, Zerrin and Da{\u{g}}l{\i}, Da{\u{g}}han}, |
| journal={arXiv preprint arXiv:2609.25498}, |
| year={2026}, |
| url={https://arxiv.org/abs/2609.25498} |
| } |
| ``` |
|
|
| ## 📜 License |
| Licensed under the **Business Source License 1.1 (BSL 1.1)**. Converts to Apache 2.0 on 2030-01-01. Free for academic, educational, and research benchmarking. |
| Corporate Licensor: **ITouch Systems** (ITouch Bilişim Sistemleri Ltd. Şti., Çukurova Teknokent). Contact: `ask@answerr.me` / `info@itouch.com.tr`. |
|
|
