Update dataset card with paper link, GitHub link, and metadata
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by nielsr HF Staff - opened
README.md
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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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**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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```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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## Citation
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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.
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