# MindBigData 2022 A Large Dataset of Brain Signals

arXiv: https://arxiv.org/abs/2212.14746 · HTML: https://mlsanity.com/paper/2212.14746/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- Builds on 8 of its 57 references that are in the map.
- First posted on arXiv 27 Dec 2022.

## Builds on (most cited first, 8 of 8)

- [Object classification from randomized EEG trials](https://mlsanity.com/paper/2004.06046/) (2020)
- [Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX](https://mlsanity.com/paper/2207.12369/) (2022)
- [HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography](https://mlsanity.com/paper/1909.05784/) (2019)
- [Deep Learning in EEG: Advance of the Last Ten-Year Critical Period](https://mlsanity.com/paper/2011.11128/) (2020)
- [Universal EEG Encoder for Learning Diverse Intelligent Tasks](https://mlsanity.com/paper/1911.12152/) (2019)
- [A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction](https://mlsanity.com/paper/1908.04784/) (2019)
- [Understanding Brain Dynamics for Color Perception using Wearable EEG headband](https://mlsanity.com/paper/2008.07092/) (2020)
- [Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset](https://mlsanity.com/paper/2212.07083/) (2022)

## Built on by (most cited first, 7 of 7)

- [Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)](https://mlsanity.com/paper/2410.07507/) (2024)
- [Geometric Machine Learning on EEG Signals](https://mlsanity.com/paper/2502.05334/) (2025)
- [Alljoined1 -- A dataset for EEG-to-Image decoding](https://mlsanity.com/paper/2404.05553/) (2024)
- [EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More](https://mlsanity.com/paper/2407.01884/) (2024)
- [Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)](https://mlsanity.com/paper/2502.05332/) (2025)
- [Neurocognitive Modeling for Text Generation: Deep Learning Architecture for EEG Data](https://mlsanity.com/paper/2509.07202/) (2025)
- [MindBigData 2023 MNIST-8B The 8 billion datapoints Multimodal Dataset of Brain Signals](https://mlsanity.com/paper/2306.00455/) (2023)

## Abstract (arXiv)

Understanding our brain is one of the most daunting tasks, one we cannot expect to complete without the use of technology. MindBigData aims to provide a comprehensive and updated dataset of brain signals related to a diverse set of human activities so it can inspire the use of machine learning algorithms as a benchmark of 'decoding' performance from raw brain activities into its corresponding (labels) mental (or physical) tasks. Using commercial of the self, EEG devices or custom ones built by us to explore the limits of the technology. We describe the data collection procedures for each of the sub datasets and with every headset used to capture them. Also, we report possible applications in the field of Brain Computer Interfaces or BCI that could impact the life of billions, in almost every sector like healthcare game changing use cases, industry or entertainment to name a few, at the end why not directly using our brains to 'disintermediate' senses, as the final HCI (Human-Computer Interaction) device? simply what we call the journey from Type to Touch to Talk to Think.