Update dataset card with paper link, GitHub link, and metadata

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

This PR improves the dataset card for the LineageFlow Pfam Assets by:
- Adding the `text-generation` task category to the metadata.
- Updating the license to `mit` based on the GitHub repository information.
- Adding links to the official paper and GitHub repository.
- Including the BibTeX citation for the paper.

These changes help make the dataset more discoverable and ensure that users can properly cite the work.

README.md

@@ -1,16 +1,22 @@
 ---
+license: mit
+task_categories:
+- text-generation
 tags:
 - protein-sequence-generation
 - bioinformatics
 - pfam
 - ancestral-sequence-reconstruction
 - protein-family
-license: other
 ---
 
 # LineageFlow Pfam Assets
 
-This dataset contains the preprocessed Pfam assets used by the released LineageFlow inference pipeline.
+This dataset contains the preprocessed Pfam assets used by the released LineageFlow inference pipeline, as presented in the paper [LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation](https://huggingface.co/papers/2605.22252).
+
+**Resources:**
+- **Paper:** [https://huggingface.co/papers/2605.22252](https://huggingface.co/papers/2605.22252)
+- **GitHub:** [https://github.com/Jinx-byebye/LineageFlow](https://github.com/Jinx-byebye/LineageFlow)
 
 ## Contents
 
@@ -22,14 +28,27 @@ This dataset contains the preprocessed Pfam assets used by the released LineageF
 
 ## Usage
 
+You can download the preprocessed Pfam assets using the Hugging Face CLI:
+
 ```bash
 hf download jinxbye/LineageFlow-assets \
   --repo-type dataset \
   --local-dir dataset
 ```
 
-The inference scripts expect these assets under `dataset/` by default. All paths can be overridden from the command line.
+The inference scripts in the GitHub repository expect these assets under `dataset/` by default. All paths can be overridden from the command line.
+
+## Citation
+
+```bibtex
+@inproceedings{liang2026lineageflow,
+  title     = {LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation},
+  author    = {Liang, Langzhang and Yang, Ming and Feng, Yi and Li, Junfan and Pan, Shirui and Xu, Yinghui and Ying, Tianlei and Zheng, Yizhen and Xu, Zenglin},
+  booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
+  year      = {2026}
+}
+```
 
 ## Notes
 
-These files are preprocessed from Pfam family alignments. Please follow the license and usage terms of the original Pfam resource when using the data.
+These files are preprocessed from Pfam family alignments. Please follow the license and usage terms of the original Pfam resource when using the data.