| | --- |
| | license: mit |
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| | |
| | CoreXDataSet/README.md |
| | ```md |
| | # CoreXDataSet |
| | |
| | ## Overview |
| | |
| | CoreXDataSet is a comprehensive multi-modal dataset curated specifically for training and evaluating the OmniCoreX AI model — the ultimate AI brain designed for integrating infinite knowledge streams with adaptive reasoning and real-time decision-making capabilities. |
| | |
| | This dataset includes diverse data modalities such as text, images, sensor readings, audio, and more, enabling OmniCoreX to learn cross-modal representations and perform advanced multi-stream reasoning across varied real-world scenarios. |
| | |
| | --- |
| | |
| | ## Contents |
| | |
| | - **Text**: Rich corpora including encyclopedic knowledge, technical documents, and conversational data. |
| | - **Images**: High-resolution images covering a wide variety of domains such as nature, urban scenes, and technology. |
| | - **Sensor Data**: Time-series sensor recordings from IoT devices, robotics, and mobile platforms. |
| | - **Audio**: Speech and environmental audio clips for audio pattern understanding and integration. |
| | - **Labels/Annotations**: Metadata and annotations required for supervised learning tasks. |
| | |
| | --- |
| | |
| | ## Dataset Structure |
| | |
| | ``` |
| | CoreXDataSet/ |
| | ├── metadata.json # Descriptions and references for dataset samples |
| | ├── text/ # Directory containing text files or JSON documents |
| | ├── images/ # Directory containing images in jpeg/png format |
| | ├── sensors/ # CSV or binary files for sensor data sequences |
| | ├── audio/ # Audio clips in WAV/MP3 format |
| | └── annotations/ # Optional annotations for supervised tasks |
| | ``` |
| | |
| | --- |
| | |
| | ## License |
| | |
| | CoreXDataSet is released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Please review the LICENSE file for more details. |
| | |
| | --- |
| | |
| | ## Usage |
| | |
| | ### Accessing the Data |
| | |
| | Download and extract the CoreXDataSet archive. Use the provided metadata file to index and load samples efficiently using the OmniCoreX data loader utilities. |
| | |
| | ### Integration |
| | |
| | CoreXDataSet is designed for seamless integration with the OmniCoreX training pipelines and model architectures. Utilize the dataset modules and data loaders included within the OmniCoreX repository. |
| | |
| | --- |
| | |
| | ## Citation |
| | |
| | If you use CoreXDataSet in your research, please cite it as: |
| | |
| | ``` |
| | @dataset{corexdataset2024, |
| | title={CoreXDataSet: Multi-Modal Dataset for OmniCoreX AI}, |
| | author={Kosasih, Team}, |
| | year={2024}, |
| | publisher={OmniCoreX Initiative}, |
| | url={https://github.com/KOSASIH/CoreXDataSet} |
| | } |
| | ``` |
| | |
| | --- |
| | |
| | ## Contribution |
| | |
| | We welcome contributions to enhance CoreXDataSet with new modalities, expanded annotations, and improved quality. Please see the CONTRIBUTING.md file in the dataset repository for guidelines. |
| | |
| | --- |
| | |
| | ## Contact |
| | |
| | For inquiries, questions, or support related to CoreXDataSet: |
| | |
| | - Email: support@omnicorex.ai |
| | - GitHub: https://github.com/KOSASIH/CoreXDataSet |
| | |
| | --- |
| | |
| | Empower your AI research with the rich and diverse CoreXDataSet — training the next generation AI brain. |
| | ``` |
