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--- |
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license: cc-by-nc-4.0 |
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language: |
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- en |
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--- |
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# LibriBrain (Sherlock Holmes 1–7) |
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This repository contains the LibriBrain data organised by book: MEG recordings (`.h5`), event annotations (`.tsv`), and the audiobook stimulus audio (`.wav`). |
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## Repository structure |
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Data are organised into seven top-level directories: |
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- `Sherlock1/` |
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- `Sherlock2/` |
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- … |
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- `Sherlock7/` |
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Each `Sherlock{i}` directory contains: |
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- `Sherlock{i}/derivatives/events/` — event annotation files (`.tsv`) |
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- `Sherlock{i}/derivatives/serialised/` — MEG recordings (`.h5`) |
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- `Sherlock{i}/stimuli/audio/` — stimulus audio (`.wav`) |
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## Stimulus audio (LibriVox) |
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The spoken-audio stimuli are derived from **LibriVox** public-domain recordings of the first seven Sherlock Holmes books (recording versions linked below). The stimuli are provided in this repository as WAV files converted from the LibriVox downloads. |
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### LibriVox source URLs (recording versions) |
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1. https://librivox.org/a-study-in-scarlet-version-6-by-sir-arthur-conan-doyle/ |
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2. https://librivox.org/the-sign-of-the-four-version-3-by-sir-arthur-conan-doyle/ |
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3. https://librivox.org/the-adventures-of-sherlock-holmes-version-4-by-sir-arthur-conan-doyle/ |
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4. https://librivox.org/the-memoirs-of-sherlock-holmes-by-sir-arthur-conan-doyle-2/ |
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5. https://librivox.org/the-hound-of-the-baskervilles-version-4-by-sir-arthur-conan-doyle/ |
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6. https://librivox.org/the-return-of-sherlock-holmes-by-sir-arthur-conan-doyle-2/ |
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7. https://librivox.org/the-valley-of-fear-version-3-by-sir-arthur-conan-doyle/ |
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### Audio format |
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The WAV files in this repository are: |
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- WAV (PCM), mono (1 channel), 22,050 Hz, 16-bit signed integer PCM |
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Example conversion command (SoX): |
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```bash |
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sox "INPUT_FROM_LIBRIVOX.mp3" -c 1 -r 22050 -b 16 "OUTPUT.wav" |
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``` |
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### Citation |
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```bibtex |
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@article{ozdogan2025libribrain, |
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author = {Özdogan, Miran and Landau, Gilad and Elvers, Gereon and Jayalath, Dulhan and Somaiya, Pratik and Mantegna, Francesco and Woolrich, Mark and Parker Jones, Oiwi}, |
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title = {{LibriBrain}: Over 50 Hours of Within-Subject {MEG} to Improve Speech Decoding Methods at Scale}, |
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year = {2025}, |
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journal = {NeurIPS, Datasets \& Benchmarks Track}, |
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url = {https://arxiv.org/abs/2506.02098}, |
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} |
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``` |
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