Upload README.md

README.md

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+---
+language:
+- en
+tags:
+- brain-computer-interface
+- neural-decoding
+- motor-imagery
+- human-computer-interaction
+- neuralink
+task_categories:
+- brain-computer-interface
+task_ids:
+- motor-imagery
+- intent-decoding
+- visual-evoked-potentials
+- handwriting-recognition
+size_categories:
+- 10K<n<100K
+---
+
+# Dataset Card for BCI-FPS MOTOR_IMAGERY Dataset
+
+## Dataset Description
+
+This dataset contains high-bandwidth neural training data collected from BCI-FPS, a specialized training platform for brain-computer interface research.
+
+### Dataset Summary
+
+- **Training Mode**: MOTOR IMAGERY
+- **Session ID**: bci_fps_motor_imagery_1767171179245
+- **Duration**: 52 seconds
+- **Sampling Rate**: 1000 Hz
+- **Neural Channels**: 32
+- **Data Points**: 11,314
+
+### Supported Tasks
+
+- **Motor Imagery Training for prosthetic control**
+- **Neural Decoding**: Training models to decode user intent from neural signals
+- **BCI Calibration**: Providing ground truth data for BCI system calibration
+- **Disability Research**: Supporting development of assistive technologies
+
+### Languages
+
+English (interface and documentation)
+
+## Dataset Structure
+
+### Data Instances
+
+```json
+{
+  "timestamp": 1767171127035,
+  "session_time": 2,
+  "channels": {
+    "channel_0": 0.7145493839481488,
+    "channel_1": 0.6894168445867142,
+    "channel_2": 0.08142761930267149,
+    "channel_3": -0.4847495027079371,
+    "channel_4": -0.7151022782142631,
+    "channel_5": -0.30725177077599913,
+    "channel_6": 0.41521139153211245,
+    "channel_7": 0.8975965762479154,
+    "channel_8": 0.40940126876082966,
+    "channel_9": -0.4091680578228324,
+    "channel_10": -0.8292701881852992,
+    "channel_11": -0.5904045145284711,
+    "channel_12": 0.12196528544955941,
+    "channel_13": 0.7040845591149026,
+    "channel_14": 0.5296790688037042,
+    "channel_15": 0.018181536760527098,
+    "channel_16": -0.6973668262179662,
+    "channel_17": -0.7437997196398959,
+    "channel_18": -0.10714886215673841,
+    "channel_19": 0.6246891444747351,
+    "channel_20": 0.8560240877317689,
+    "channel_21": 0.155749695078711,
+    "channel_22": -0.4754514086663171,
+    "channel_23": -0.7632646743624881,
+    "channel_24": -0.42658424045199833,
+    "channel_25": 0.47380668620054267,
+    "channel_26": 0.7558851981047924,
+    "channel_27": 0.5145527444334146,
+    "channel_28": -0.22899647502709344,
+    "channel_29": -0.8498710316208474,
+    "channel_30": -0.5816021940073672,
+    "channel_31": 0.2096020563849897
+  },
+  "intent_context": {
+    "mouse_movement": [
+      0,
+      0
+    ],
+    "keyboard_state": {
+      "mouse": false
+    },
+    "camera_rotation": [
+      0,
+      0,
+      0
+    ],
+    "active_targets": 0
+  }
+}
+```
+
+### Data Fields
+
+See `metadata.json` for complete schema documentation.
+
+## Dataset Creation
+
+### Source Data
+
+- **Platform**: Web-based BCI-FPS Training Environment
+- **Sampling Rate**: 1000 Hz
+- **Collection Method**: Real-time telemetry during BCI training tasks
+- **Neural Simulation**: Synthetic neural data representing ideal BCI signals
+
+### Annotations
+
+- **Annotation process**: Automatic intent labeling during gameplay
+- **Annotation types**: Motor imagery, visual stimuli, handwriting intent
+- **Who annotated**: System automatically labels based on game state
+
+### Personal and Sensitive Information
+
+No personal information is collected. All data is synthetic/anonymous.
+
+## Considerations for Using the Data
+
+### Social Impact
+
+This dataset enables research in:
+- Neuralink-style brain-computer interfaces
+- Assistive technologies for disabled individuals
+- Human-AI interaction systems
+- Neural decoding algorithms
+
+### Discussion of Biases
+
+Synthetic neural data may not perfectly represent biological signals. Results should be validated with real neural recordings.
+
+### Other Known Limitations
+
+- Simulated neural signals
+- Idealized game environment
+- Limited to specific training tasks
+
+## Additional Information
+
+### Dataset Curators
+
+BCI-FPS Research Team
+
+### Licensing Information
+
+MIT License
+
+### Citation Information
+
+```bibtex
+@misc{bci_fps_motor_imagery_2024,
+  title={BCI-FPS motor_imagery Training Dataset},
+  author={Neuralink Research},
+  year={2024},
+  note={High-frequency intent decoding data for brain-computer interface development}
+}
+```