Add dataset card with metadata and links

README.md

@@ -0,0 +1,53 @@
+---
+license: mit
+task_categories:
+- text-classification
+language:
+- en
+tags:
+- dna
+- genomics
+---
+
+# EvoLen: Evolution-Guided Tokenization for DNA Language Model
+
+This repository contains datasets and tokenizer files from the paper **EvoLen: Evolution-Guided Tokenization for DNA Language Model** (COLM 2026). EvoLen is a DNA tokenizer that combines evolutionary stratification with length-aware decoding to preserve functional sequence patterns.
+
+- **Paper**: [Hugging Face Paper Page](https://huggingface.co/papers/2604.08698)
+- **GitHub**: [https://github.com/HN020719/EvoLen](https://github.com/HN020719/EvoLen)
+- **Hugging Face Organization**: [EvoLenTokenizer](https://huggingface.co/EvoLenTokenizer)
+
+## Contents
+
+The dataset includes benchmark datasets for downstream sequence classification tasks:
+
+- **NT-benchmarks** (Nucleotide Transformer, 18 tasks)
+- **GUE-benchmarks** (Genome Understanding Evaluation, 27 tasks)
+- **GBM-benchmarks** (GenomicBenchmarks, 9 tasks)
+- **ATAC-benchmarks** (human/mouse superclass classification)
+- **Screen-benchmarks** (ENCODE cCRE classification, 8-way)
+
+It also contains the EvoLen tokenizer, baseline BPE tokenizer, and ablation variant tokenizers.
+
+## Usage
+
+For detailed instructions on downloading the data, training models, and reproducing experiments, please refer to the [GitHub repository](https://github.com/HN020719/EvoLen). The repository provides scripts and a CLI (`sft_evolen.py`) for fine-tuning on the benchmarks.
+
+## License
+
+The datasets and code are released under the MIT License. See the LICENSE file in the GitHub repository for details.
+
+## Citation
+
+If you use this dataset in your work, please cite the paper:
+
+```bibtex
+@inproceedings{huang2026evolen,
+  title     = {EvoLen: Evolution-Guided Tokenization for DNA Language Model},
+  author    = {Huang, Nan and Zhou, Xiaoxiao and Cui, Junxia and
+               Tapia-Pacheco, Mario and Amariuta, Tiffany and Li, Yang and
+               Shang, Jingbo},
+  booktitle = {Conference on Language Modeling (COLM)},
+  year      = {2026}
+}
+```