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- Citation Author(s):
- Submitted by:
- Chenxi Zhang Ch...
- Last updated:
- Wed, 01/08/2025 - 21:46
- DOI:
- 10.21227/n492-vv66
- License:
7 ViewsAbstract
This dataset contains a diverse range of file types, including text, images, and audio, designed for multi-modal analysis and research. It includes text files (txt) with both structured and unstructured data, suitable for natural language processing tasks such as sentiment analysis and text classification. The image files cover various subjects and are intended for computer vision tasks like object detection and classification. Additionally, the dataset includes audio files in formats like MP3 and WAV, supporting speech recognition and sound analysis. The variety of data types makes this dataset ideal for projects involving multi-modal learning and cross-modal analysis.
The dataset is organized in a structured manner, with each file labeled according to its respective data type, as indicated in the provided table. The data types cover a wide range, including text, images, audio, and more, allowing for comprehensive reference and analysis. Each file is clearly categorized, making it easy to identify and use for various tasks. The table serves as a helpful guide for understanding the specific type of data contained within the dataset, ensuring efficient access and utilization for research or application purposes.
