---
license: apache-2.0
task_categories:
  - other
language:
  - en
tags:
  - mouse-movement
  - captcha
  - biometrics
  - human-behavior
  - gaming
size_categories:
  - 10K<n<100K
---

# CaptchaSolve30k - Human Mouse Movement Dataset

**The largest open-source dataset of human task-specific mouse trajectories by session count and unique participants, with 30,000 discrete sessions from thousands of users. The first and only open dataset of complete human captcha-solving interactions with full behavioral replays.**

Each session captures mouse/touch trajectories, timing data, and puzzle state at physics-tick resolution. Suitable for bot detection research, human-computer interaction studies, and ML model training.

## 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 |

### Privacy & Anonymization

Data was collected by Capycap, Inc. under a privacy policy disclosing collection practices, anonymization methods, and intended use for AI research. Users had the option to opt out of data storage.

- All coordinates are normalized to a 200×200 logical grid—raw screen coordinates were never stored
- Render size was randomized per session, removing device-specific signatures
- Sessions cannot be linked to individuals or correlated with each other
- No IP addresses, cookies, browser fingerprints, or persistent identifiers were collected

### Terms of Use

By downloading this dataset, you agree to the following:

1. **No re-identification**: Do not attempt to identify individuals, link sessions to specific users, or combine this data with other sources for identification purposes.

2. **No biometric profiling**: Do not use this data to build biometric identification systems, behavioral authentication, surveillance tools, or any system designed to identify or track individuals based on interaction patterns.

3. **Permitted uses**: This dataset is intended for AI research, bot detection, human-computer interaction studies, and training machine learning models (including generative models and automation agents).

4. **Redistribution**: If you redistribute this data or derivatives, you must include these same restrictions.

Violation of these terms may constitute a breach of contract and could result in legal liability.

## 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

Explore the dataset interactively with our demo space:

- **Visualize sessions**: Watch recorded mouse movements replay in real-time over the actual game
- **Inspect trajectories**: See exactly how humans navigate each puzzle type
- **Load samples**: Paste JSON from the dataset or load random samples directly
- **Play the games**: Try the puzzles yourself and export your own session data in the same format

[Open Demo Space](https://huggingface.co/spaces/Capycap-AI/CaptchaSolve-Demo)

## License

Apache License 2.0 - 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}
}
```

## Authors

This dataset was created by:

- **Tony Chen** - [GitHub](https://github.com/TonyChen06) | [LinkedIn](https://www.linkedin.com/in/tonychen06/)
- **James Gu** - [GitHub](https://github.com/jamesgu888) | [LinkedIn](https://www.linkedin.com/in/jamesgu888/)
- **Christopher He** - [LinkedIn](https://www.linkedin.com/in/chrismhe/)
- **Kevin Zhou** - [GitHub](https://github.com/zhoism) | [LinkedIn](https://www.linkedin.com/in/kevinzhou3/)

Published by Capycap Inc.

## Links

- [Demo Space](https://huggingface.co/spaces/Capycap-AI/CaptchaSolve-Demo)