README.md

metadata

license: cc-by-nc-4.0
language:
  - en

LibriBrain (Sherlock Holmes 1–7)

This repository contains the LibriBrain data organised by book: MEG recordings (.h5), event annotations (.tsv), and the audiobook stimulus audio (.wav).

Repository structure

Data are organised into seven top-level directories:

• Sherlock1/
• Sherlock2/
• …
• Sherlock7/

Each Sherlock{i} directory contains:

• Sherlock{i}/derivatives/events/ — event annotation files (.tsv)
• Sherlock{i}/derivatives/serialised/ — MEG recordings (.h5)
• Sherlock{i}/stimuli/audio/ — stimulus audio (.wav)

Stimulus audio (LibriVox)

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.

LibriVox source URLs (recording versions)

1. https://librivox.org/a-study-in-scarlet-version-6-by-sir-arthur-conan-doyle/
2. https://librivox.org/the-sign-of-the-four-version-3-by-sir-arthur-conan-doyle/
3. https://librivox.org/the-adventures-of-sherlock-holmes-version-4-by-sir-arthur-conan-doyle/
4. https://librivox.org/the-memoirs-of-sherlock-holmes-by-sir-arthur-conan-doyle-2/
5. https://librivox.org/the-hound-of-the-baskervilles-version-4-by-sir-arthur-conan-doyle/
6. https://librivox.org/the-return-of-sherlock-holmes-by-sir-arthur-conan-doyle-2/
7. https://librivox.org/the-valley-of-fear-version-3-by-sir-arthur-conan-doyle/

Audio format

The WAV files in this repository are:

• WAV (PCM), mono (1 channel), 22,050 Hz, 16-bit signed integer PCM

Example conversion command (SoX):

sox "INPUT_FROM_LIBRIVOX.mp3" -c 1 -r 22050 -b 16 "OUTPUT.wav"

Citation

@article{ozdogan2025libribrain,
  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},
  title     = {{LibriBrain}: Over 50 Hours of Within-Subject {MEG} to Improve Speech Decoding Methods at Scale},
  year      = {2025},
  journal   = {NeurIPS, Datasets \& Benchmarks Track},
  url       = {https://arxiv.org/abs/2506.02098},
}