Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- other
+language:
+- en
+- ko
+tags:
+- world-model
+- embodied-ai
+- benchmark
+- agi
+- cognitive-evaluation
+- vidraft
+- prometheus
+- wm-bench
+- final-bench-family
+pretty_name: World Model Bench (WM Bench)
+size_categories:
+- n<1K
+---
+
+# 🌍 World Model Bench (WM Bench) v1.0
+
+> **Beyond FID — Measuring Intelligence, Not Just Motion**
+
+**WM Bench** is the world's first benchmark for evaluating the **cognitive capabilities** of World Models and Embodied AI systems.
+
+[![Leaderboard](https://img.shields.io/badge/🏆_Leaderboard-WM_Bench_Space-blue)](https://huggingface.co/spaces/FINAL-Bench/worldmodel-bench)
+[![Demo](https://img.shields.io/badge/🌍_Demo-PROMETHEUS_World_Model-green)](https://huggingface.co/spaces/FINAL-Bench/World-Model)
+[![FINAL Bench](https://img.shields.io/badge/📊_FINAL_Bench-Text_AGI-orange)](https://huggingface.co/datasets/VIDraft/FINAL-Bench)
+[![License](https://img.shields.io/badge/License-Apache_2.0-yellow)](LICENSE)
+
+---
+
+## 🎯 Why WM Bench?
+
+Existing world model evaluations focus on:
+- **FID / FVD** — image and video quality ("Does it look real?")
+- **Atari scores** — performance in fixed game environments
+
+**WM Bench measures something different: Does the model *think* correctly?**
+
+| Existing Benchmarks | WM Bench |
+|---|---|
+| FID: "Does it look real?" | "Does it understand the scene?" |
+| FVD: "Is the video smooth?" | "Does it predict threats correctly?" |
+| Atari: Fixed game environment | Any environment via JSON input |
+| No emotion modeling | Emotion escalation measurement |
+| No memory testing | Contextual memory utilization |
+
+---
+
+## 📊 Benchmark Structure
+
+### 3 Pillars · 10 Categories · 100 Scenarios
+
+```
+WM Score (0 – 1000)
+├── 👁 P1: Perception    250 pts — C01, C02
+├── 🧠 P2: Cognition     450 pts — C03, C04, C05, C06, C07
+└── 🔥 P3: Embodiment    300 pts — C08, C09, C10
+```
+
+**Why Cognition is 45%:** Existing world models measure perception and motion — but not **judgment**. WM Bench is the only benchmark that measures the quality of a model's decisions.
+
+| Cat | Name | World First? |
+|-----|------|-------------|
+| C01 | Environmental Awareness | |
+| C02 | Entity Recognition & Classification | |
+| C03 | Prediction-Based Reasoning | ✦ |
+| C04 | Threat-Type Differentiated Response | ✦ |
+| C05 | Autonomous Emotion Escalation | ✦✦ |
+| C06 | Contextual Memory Utilization | ✦ |
+| C07 | Post-Threat Adaptive Recovery | ✦ |
+| C08 | Motion-Emotion Expression | ✦ |
+| C09 | Real-Time Cognitive-Action Performance | |
+| C10 | Body-Swap Extensibility | ✦✦ |
+
+✦ = First defined in this benchmark  
+✦✦ = No prior research exists
+
+### Grade Scale
+
+| Grade | Score | Label |
+|-------|-------|-------|
+| S | 900+ | Superhuman |
+| A | 750+ | Advanced |
+| B | 600+ | Baseline |
+| C | 400+ | Capable |
+| D | 200+ | Developing |
+| F | <200 | Failing |
+
+---
+
+## 🔌 How to Participate
+
+**No 3D environment needed.** WM Bench evaluates via text I/O only:
+
+```
+INPUT:  scene_context JSON
+OUTPUT: PREDICT: left=danger(wall), right=safe(open), fwd=danger(beast), back=safe
+        MOTION: a person sprinting right in desperate terror
+```
+
+### Participation Tracks
+
+| Track | Description | Max Score |
+|-------|-------------|-----------|
+| **A** | Text-only (API) | 750 / 1000 |
+| **B** | Text + performance metrics | 1000 / 1000 |
+| **C** | Text + performance + live demo | 1000 / 1000 + ✓ Verified |
+
+### Quick Start
+
+```bash
+git clone https://huggingface.co/datasets/VIDraft/wm-bench-dataset
+cd wm-bench-dataset
+
+python example_submission.py \
+  --api_url https://api.openai.com/v1/chat/completions \
+  --api_key YOUR_KEY \
+  --model YOUR_MODEL \
+  --output my_submission.json
+```
+
+Then upload `my_submission.json` to the [WM Bench Leaderboard](https://huggingface.co/spaces/FINAL-Bench/worldmodel-bench).
+
+---
+
+## 📦 Dataset Files
+
+```
+wm-bench-dataset/
+├── wm_bench_dataset.json    # 100 scenarios + ground truth
+├── example_submission.py    # Participation template
+├── wm_bench_scoring.py      # Scoring engine (fully open)
+├── wm_bench_eval.py         # Evaluation runner
+└── README.md
+```
+
+---
+
+## 🏆 Current Leaderboard
+
+| Rank | Model | Org | WM Score | Grade | Track |
+|------|-------|-----|----------|-------|-------|
+| 1 | VIDRAFT PROMETHEUS v1.0 | VIDRAFT | 726 | B | C ✓ |
+
+*Submit your model at the [WM Bench Leaderboard](https://huggingface.co/spaces/FINAL-Bench/worldmodel-bench)*
+
+---
+
+## 🔬 FINAL Bench Family
+
+WM Bench is part of the **FINAL Bench Family** — a suite of AGI evaluation benchmarks by VIDRAFT:
+
+| Benchmark | Measures | Status |
+|-----------|----------|--------|
+| [FINAL Bench](https://huggingface.co/datasets/VIDraft/FINAL-Bench) | Text AGI (metacognition) | 🌟 HF Global Top 5 · 4 press coverages |
+| **WM Bench** | **Embodied AGI (world models)** | **🚀 Live** |