Update README: add audio stimuli info

README.md

@@ -1,5 +1,61 @@
 ---
 license: cc-by-nc-4.0
 language:
-- en
----
+  - 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):
+
+```bash
+sox "INPUT_FROM_LIBRIVOX.mp3" -c 1 -r 22050 -b 16 "OUTPUT.wav"
+```
+
+### Citation
+
+```bibtex
+@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},
+}
+```