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README.md
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We release a dataset containing 23,270 time-locked (0.7s) word-level EEG recordings acquired from 15 participants who read both text that was semantically relevant and irrelevant to self-selected topics.
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See [code repository][1] for benchmark results.
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Explanations of the variables:
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We recommend using the Croissant metadata to explore the dataset.
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[1]: https://github.com/VadymV/EEG-dataset-for-semantic-text-relevance/tree/main
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We release a dataset containing 23,270 time-locked (0.7s) word-level EEG recordings acquired from 15 participants who read both text that was semantically relevant and irrelevant to self-selected topics.
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See [code repository][1] for benchmark results.
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Datasheet is here: [data repository][2].
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Explanations of the variables:
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We recommend using the Croissant metadata to explore the dataset.
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[1]: https://github.com/VadymV/EEG-dataset-for-semantic-text-relevance/tree/main
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[2]: https://osf.io/p4zue/
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