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

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by nielsr HF Staff - opened
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  1. README.md +23 -4
README.md CHANGED
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  ---
 
 
 
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  tags:
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  - protein-sequence-generation
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  - bioinformatics
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  - pfam
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  - ancestral-sequence-reconstruction
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  - protein-family
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- license: other
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  ---
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  # LineageFlow Pfam Assets
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- This dataset contains the preprocessed Pfam assets used by the released LineageFlow inference pipeline.
 
 
 
 
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  ## Contents
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  ## Usage
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  ```bash
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  hf download jinxbye/LineageFlow-assets \
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  --repo-type dataset \
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  --local-dir dataset
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  ```
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- The inference scripts expect these assets under `dataset/` by default. All paths can be overridden from the command line.
 
 
 
 
 
 
 
 
 
 
 
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  ## Notes
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- These files are preprocessed from Pfam family alignments. Please follow the license and usage terms of the original Pfam resource when using the data.
 
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  ---
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+ license: mit
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+ task_categories:
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+ - text-generation
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  tags:
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  - protein-sequence-generation
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  - bioinformatics
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  - pfam
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  - ancestral-sequence-reconstruction
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  - protein-family
 
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  ---
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  # LineageFlow Pfam Assets
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+ 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).
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+
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+ **Resources:**
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+ - **Paper:** [https://huggingface.co/papers/2605.22252](https://huggingface.co/papers/2605.22252)
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+ - **GitHub:** [https://github.com/Jinx-byebye/LineageFlow](https://github.com/Jinx-byebye/LineageFlow)
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  ## Contents
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  ## Usage
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+ You can download the preprocessed Pfam assets using the Hugging Face CLI:
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+
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  ```bash
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  hf download jinxbye/LineageFlow-assets \
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  --repo-type dataset \
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  --local-dir dataset
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  ```
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+ The inference scripts in the GitHub repository expect these assets under `dataset/` by default. All paths can be overridden from the command line.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{liang2026lineageflow,
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+ title = {LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation},
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+ 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},
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+ booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
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+ year = {2026}
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+ }
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+ ```
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  ## Notes
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+ These files are preprocessed from Pfam family alignments. Please follow the license and usage terms of the original Pfam resource when using the data.