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README.md

@@ -1,3 +1,140 @@
----
-license: apache-2.0
----
+---
+license: mit
+task_categories:
+  - other
+language:
+  - en
+tags:
+  - mouse-movement
+  - captcha
+  - biometrics
+  - human-behavior
+  - gaming
+size_categories:
+  - 10K<n<100K
+---
+
+# CaptchaSolve30k - Human Mouse Movement Dataset
+
+A dataset of 30,000+ human mouse movement recordings captured while solving interactive captcha-style puzzles. Each session includes high-frequency input sampling suitable for behavioral biometrics research, bot detection, and human movement modeling.
+
+## Dataset Overview
+
+| Metric | Value |
+|--------|-------|
+| Total Sessions | ~30,000 |
+| Game Types | 3 |
+| Physics Sample Rate | 240 Hz |
+| Raw Input Sample Rate | 1000 Hz |
+| Average Session Duration | 8-15 seconds |
+
+## Game Types
+
+### Sheep Herding
+Guide sheep into a pen by drawing paths with your mouse. Tests continuous cursor control and path planning.
+
+### Thread the Needle
+Navigate through gaps without touching walls. Tests precision movement and spatial awareness.
+
+### Polygon Stacking
+Drag and stack polygon shapes on a platform. Tests click-drag interactions and placement accuracy.
+
+## Data Format
+
+Each session is a JSON object with the following fields:
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `index` | int | Session index in the dataset |
+| `gameType` | string | One of: `sheep-herding`, `thread-the-needle`, `polygon-stacking` |
+| `puzzleSeed` | int | Seed used to generate the puzzle (for reproducibility) |
+| `duration` | int | Session duration in milliseconds |
+| `physicsTickCount` | int | Number of physics ticks (at 240 Hz) |
+| `tickInputs` | array | Input state at each physics tick |
+| `inputStream` | string | Base64-encoded raw 1000 Hz mouse samples |
+| `inputSampleCount` | int | Number of raw input samples |
+| `touchscreen` | bool | Whether input was from a touchscreen |
+
+### tickInputs Format
+
+Array of objects representing input state at each 240 Hz physics tick:
+
+```json
+{
+  "x": 150.5,      // X position in grid coordinates (0-200)
+  "y": 100.2,      // Y position in grid coordinates (0-200)
+  "isDown": true,  // Mouse button / touch pressed
+  "sampleIndex": 42 // Index into inputStream for this tick
+}
+```
+
+### inputStream Format
+
+Base64-encoded binary stream of raw 1000 Hz mouse samples. Each sample is 9 bytes:
+- 4 bytes: X position (float32, little-endian)
+- 4 bytes: Y position (float32, little-endian)
+- 1 byte: Button state (0 = up, 1 = down)
+
+## Usage
+
+### Loading with Datasets Library
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Capycap-AI/CaptchaSolve30k")
+
+# Access a sample
+sample = dataset['train'][0]
+print(f"Game: {sample['gameType']}, Duration: {sample['duration']}ms")
+```
+
+### Decoding inputStream
+
+```python
+import base64
+import struct
+
+def decode_input_stream(b64_stream, sample_count):
+    data = base64.b64decode(b64_stream)
+    samples = []
+    for i in range(sample_count):
+        offset = i * 9
+        x, y = struct.unpack('<ff', data[offset:offset+8])
+        is_down = data[offset+8] == 1
+        samples.append({'x': x, 'y': y, 'isDown': is_down})
+    return samples
+```
+
+## Demo & Replay
+
+Try the interactive demo to replay sessions and visualize mouse movements:
+
+[CaptchaSolve Demo Space](https://huggingface.co/spaces/Capycap-AI/CaptchaSolve-Demo)
+
+## Use Cases
+
+- **Bot Detection**: Train models to distinguish human vs synthetic mouse movements
+- **Behavioral Biometrics**: Study individual movement patterns for authentication
+- **Human Motion Modeling**: Build generative models of natural cursor behavior
+- **Game AI**: Train agents that exhibit human-like control patterns
+
+## License
+
+MIT License - free for research and commercial use.
+
+## Citation
+
+```bibtex
+@dataset{captchasolve30k,
+  title={CaptchaSolve30k: Human Mouse Movement Dataset},
+  author={Capycap Inc.},
+  year={2026},
+  url={https://huggingface.co/datasets/Capycap-AI/CaptchaSolve30k}
+}
+```
+
+## Links
+
+- [CapyCap Website](https://capycap.com)
+- [Demo Space](https://huggingface.co/spaces/Capycap-AI/CaptchaSolve-Demo)