Add paper link, GitHub link, task category and sample usage

Hi! I'm Niels from the community science team at Hugging Face.

This PR improves the dataset card for LibriBrain by:
- Adding the `other` task category to the metadata.
- Adding links to the associated research paper ([MEG-XL](https://huggingface.co/papers/2602.02494)) and the [official GitHub repository](https://github.com/neural-processing-lab/MEG-XL).
- Including a sample usage section with a code snippet for fine-tuning the MEG-XL model on this dataset, as found in the GitHub README.
- Adding the citation for the MEG-XL paper.

README.md

@@ -1,12 +1,30 @@
 ---
-license: cc-by-nc-4.0
 language:
-  - en
+- en
+license: cc-by-nc-4.0
+task_categories:
+- other
 ---
 
 # 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`).
+[Paper](https://huggingface.co/papers/2602.02494) | [Code](https://github.com/neural-processing-lab/MEG-XL)
+
+This repository contains the LibriBrain data organised by book: MEG recordings (`.h5`), event annotations (`.tsv`), and the audiobook stimulus audio (`.wav`). 
+
+LibriBrain is used as a fine-tuning dataset in the paper ["MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training"](https://huggingface.co/papers/2602.02494) to evaluate word decoding from brain data.
+
+## Sample Usage
+
+To fine-tune the MEG-XL model on the LibriBrain dataset for word decoding, you can use the following command from the [official repository](https://github.com/neural-processing-lab/MEG-XL):
+
+```bash
+python -m brainstorm.evaluate_criss_cross_word_classification \
+  --config-name=eval_criss_cross_word_classification_libribrain \
+  model.criss_cross_checkpoint=/path/to/your/checkpoint.ckpt
+```
+
+Note: You will need to adjust the dataset paths in the configuration files to point to your local download of the data.
 
 ## Repository structure
 
@@ -50,6 +68,8 @@ sox "INPUT_FROM_LIBRIVOX.mp3" -c 1 -r 22050 -b 16 "OUTPUT.wav"
 
 ### Citation
 
+If you use this dataset, please cite the LibriBrain paper:
+
 ```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},
@@ -59,3 +79,14 @@ sox "INPUT_FROM_LIBRIVOX.mp3" -c 1 -r 22050 -b 16 "OUTPUT.wav"
   url       = {https://arxiv.org/abs/2506.02098},
 }
 ```
+
+If you use this data with the MEG-XL framework, please also cite:
+
+```bibtex
+@article{jayalath2026megxl,
+  title={{MEG-XL}: Data-Efficient Brain-to-Text via Long-Context Pre-Training},
+  author={Jayalath, Dulhan and Jones, Oiwi Parker},
+  journal={arXiv preprint arXiv:2602.02494},
+  year={2026}
+}
+```