add dataset card

README.md

@@ -1,3 +1,82 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+tags:
+- biology
+- genomics
+- dna
+- foundation-models
+- arc-institute
+- evo2
+pretty_name: OpenGenome2
+task_categories:
+- text-generation
+- fill-mask
+- feature-extraction
+size_categories:
+- n>1T
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  splits:
+  - name: train
+    num_examples: 902
+  download_size: 0
+  dataset_size: 880000000000
+---
+
+# OpenGenome2
+
+OpenGenome2 is a large-scale genomic dataset compiled by the Arc Institute and collaborators to train **Evo 2**, a biological foundation model.  
+It contains **8.8 trillion nucleotides** from across the tree of life, including bacteria, archaea, eukaryotes, bacteriophage, organelles, and curated metagenomic assemblies.  
+
+Sequences are provided as text strings (A, T, C, G) at **single-nucleotide resolution**, optimized for training long-context genome language models.
+
+## Composition
+
+- **Prokaryotes**: 113,379 representative genomes (~357B nt, GTDB v220.0)  
+- **Eukaryotes**: 15,032 curated reference genomes (~6.98T nt, NCBI)  
+- **Metagenomic assemblies**: 854B nt 
+- **Organelle genomes**: 2.82B nt 
+- **Eukaryotic augmentation**: 602B nt enriched for gene-rich regions  
+
+⚠️ **Eukaryotic viral genomes are excluded** to mitigate dual-use concerns.
+
+## Dataset Features
+
+| **Field** | **Type** | **Description** |
+|-----------|----------|-----------------|
+| `text`    | string   | Raw nucleotide sequence (can be millions of bp long) |
+
+## Example Usage
+
+```python
+from datasets import load_dataset
+
+# Load in streaming mode
+ds = load_dataset("arcinstitute/opengenome2", split="train", streaming=True)
+
+# Inspect first example
+example = next(iter(ds))
+print(len(example["text"]))
+print(example["text"][:100])  # first 100 bp
+```
+
+## Citation 
+Please cite the following when using OpenGenome2:
+```
+@article {Brixi2025.02.18.638918,
+	author = {Brixi, Garyk and Durrant, Matthew G and Ku, Jerome and Poli, Michael and Brockman, Greg and Chang, Daniel and Gonzalez, Gabriel A and King, Samuel H and Li, David B and Merchant, Aditi T and Naghipourfar, Mohsen and Nguyen, Eric and Ricci-Tam, Chiara and Romero, David W and Sun, Gwanggyu and Taghibakshi, Ali and Vorontsov, Anton and Yang, Brandon and Deng, Myra and Gorton, Liv and Nguyen, Nam and Wang, Nicholas K and Adams, Etowah and Baccus, Stephen A and Dillmann, Steven and Ermon, Stefano and Guo, Daniel and Ilango, Rajesh and Janik, Ken and Lu, Amy X and Mehta, Reshma and Mofrad, Mohammad R.K. and Ng, Madelena Y and Pannu, Jaspreet and Re, Christopher and Schmok, Jonathan C and St. John, John and Sullivan, Jeremy and Zhu, Kevin and Zynda, Greg and Balsam, Daniel and Collison, Patrick and Costa, Anthony B. and Hernandez-Boussard, Tina and Ho, Eric and Liu, Ming-Yu and McGrath, Tom and Powell, Kimberly and Burke, Dave P. and Goodarzi, Hani and Hsu, Patrick D and Hie, Brian},
+	title = {Genome modeling and design across all domains of life with Evo 2},
+	elocation-id = {2025.02.18.638918},
+	year = {2025},
+	doi = {10.1101/2025.02.18.638918},
+	publisher = {Cold Spring Harbor Laboratory},
+	URL = {https://www.biorxiv.org/content/early/2025/02/21/2025.02.18.638918},
+	eprint = {https://www.biorxiv.org/content/early/2025/02/21/2025.02.18.638918.full.pdf},
+	journal = {bioRxiv}
+}
+
+```
+
+---