Create README.md

README.md

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+---
+license: mit
+language:
+- en
+size_categories:
+- n<1K
+---
+# VIPER Benchmark
+
+## Dataset Description
+
+VIPER (VIdeo Process Evaluation for Reasoning tasks) is a comprehensive benchmark for Generative Video Reasoning (GVR) tasks. 
+
+### Dataset Summary
+
+This dataset contains **309 samples** spanning **6 distinct reasoning domains**:
+
+- **Physics**: Understanding of physical laws and dynamics (32 samples)
+- **Planning**: Spatial navigation and object manipulation (44 samples)
+- **Spatial**: 3D spatial reasoning and transformations (60 samples)
+- **Structural**: Pattern recognition and constraint satisfaction (70 samples)
+- **Symbolic**: Knowledge reasoning and mathematical problem-solving (60 samples)
+- **Temporal**: Temporal dynamics and object tracking (43 samples)
+
+## Dataset Structure
+
+### Data Instances
+
+Each instance contains:
+
+```json
+{
+  "domain": "Spatial",
+  "id": "block_rotate_0",
+  "image": "Spatial/images/block_rotate_0.jpg",
+  "reference": {
+    "frames": ["Spatial/references/block_rotate_0_0.jpg"],
+    "text": []
+  },
+  "prompt": "A structure composed of 9 cubes viewed from...",
+  "protocol": ["Maintain the block structure..."],
+  "task_type": "block_rotate"
+}
+```
+
+### Data Fields
+
+- `domain`: The reasoning domain (Physics, Planning, Spatial, Structural, Symbolic, Temporal)
+- `id`: Unique identifier for the sample
+- `image`: Path to the input image
+- `reference`: Reference materials for evaluation
+  - `frames`: Reference image frames
+  - `text`: Reference text descriptions
+- `prompt`: Text prompt describing the task or desired output
+- `protocol`: Evaluation criteria or constraints
+- `task_type`: Specific task category within the domain
+
+
+## Dataset Statistics
+
+### Domain Distribution
+
+| Domain | Total Samples | Task Types |
+|--------|---------------|------------|
+| Physics | 32 | experiment, game |
+| Planning | 44 | navigation, obj_manipulation |
+| Spatial | 60 | block_rotate, dice, image_restore |
+| Structural | 70 | chess, maze, sudoku, ttt |
+| Symbolic | 60 | knowledge, math, multimodal |
+| Temporal | 43 | obj_move, zoom |
+
+### Task Distribution by Domain
+
+**Physics** (32 samples):
+- experiment: 18 samples
+- game: 14 samples
+
+**Planning** (44 samples):
+- navigation: 25 samples
+- obj_manipulation: 19 samples
+
+**Spatial** (60 samples):
+- block_rotate: 25 samples
+- dice: 20 samples
+- image_restore: 15 samples
+
+**Structural** (70 samples):
+- chess: 20 samples
+- maze: 20 samples
+- sudoku: 20 samples
+- ttt: 10 samples
+
+**Symbolic** (60 samples):
+- knowledge: 20 samples
+- math: 20 samples
+- multimodal: 20 samples
+
+**Temporal** (43 samples):
+- obj_move: 25 samples
+- zoom: 18 samples
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the full dataset
+dataset = load_dataset("Monosail/VIPER")
+
+```
+
+## Citation Information
+
+```bibtex
+@article{li2026viper,
+  title={Beyond the Last Frame: Process-aware Evaluation for Generative Video Reasoning},
+  author={Li, Yifan and Gu, Yukai and Min, Yingqian and Liu, Zikang and Du, Yifan and Zhou, Kun and Yang, Min and Zhao, Wayne Xin and Qiu, Minghui},
+  journal={arXiv preprint arXiv:2512.24952},
+  year={2025}
+}
+```