LeBabyOx/EEGParquet
๐ง EEGParquet-Benchmark ๐ Overview This dataset contains electroencephalography (EEG) recordings processed and stored in a structured format for machine learning and signal analysis tasks. It is designed to support research in brain-computer interfaces (BCI), neurological disorder detection, and time-series modeling. The dataset is stored in Parquet format to enable efficient large-scale processing and seamless integration with modern ML pipelines. ๐ฏโฆ See the full description on the dataset page: https://huggingface.co/datasets/LeBabyOx/EEGParquet.
| Author / organization | LeBabyOx |
|---|---|
| Downloads | 148 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 21 March 2026 |
| Last updated at source | 5 April 2026 |
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148 now (-1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: ๐ง EEGParquet-Benchmark ๐ Overview This dataset contains electroencephalography (EEG) recordings processed and stored in a structured format for machine learning and signal analysis tasks. It is designed to support research in brain-comput โ ๐ง EEGParquet-Benchmark ๐ Overview This dataset contains electroencephalography (EEG) recordings processed and stored in a structured format for machine learning and signal analysis tasks. It is designed to support research in brain-comput
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