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README.md

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+---
+language: rna
+tags:
+  - Biology
+  - RNA
+license:
+  - agpl-3.0
+size_categories:
+  - 1K<n<10K
+source_datasets:
+  - multimolecule/rfam
+task_categories:
+  - text-generation
+  - fill-mask
+task_ids:
+  - language-modeling
+  - masked-language-modeling
+pretty_name: bpRNA-new
+library_name: multimolecule
+---
+
+# bpRNA-new
+
+bpRNA-new is a database of single molecule secondary structures annotated using bpRNA.
+
+bpRNA-new is a dataset of RNA families from Rfam 14.2, designed for cross-family validation to assess generalization capability.
+It focuses on families distinct from those in [bpRNA-1m](../bprna), providing a robust benchmark for evaluating model performance on unseen RNA families.
+
+## Disclaimer
+
+This is an UNOFFICIAL release of the bpRNA-new by Kengo Sato, et al.
+
+**The team releasing bpRNA-new did not write this dataset card for this dataset so this dataset card has been written by the MultiMolecule team.**
+
+## Dataset Description
+
+- **Homepage**: https://multimolecule.danling.org/datasets/bprna-new
+- **datasets**: https://huggingface.co/datasets/multimolecule/bprna-new
+- **Point of Contact**: [Kengo Sato](mailto:satoken@bio.keio.ac.jp)
+
+## Related Datasets
+
+- [bpRNA-1m](https://huggingface.co/datasets/multimolecule/bprna): A database of single molecule secondary structures annotated using bpRNA.
+- [bpRNA-spot](https://huggingface.co/datasets/multimolecule/bprna-spot): A subset of bpRNA-1m that applies [CD-HIT (CD-HIT-EST)](https://sites.google.com/view/cd-hit) to remove sequences with more than 80% sequence similarity from bpRNA-1m.
+- [ArchiveII](https://huggingface.co/datasets/multimolecule/archiveii): A database of RNA secondary with the same families as RNAStrAlign, usually used for testing.
+
+## License
+
+This dataset is licensed under the [AGPL-3.0 License](https://www.gnu.org/licenses/agpl-3.0.html).
+
+```spdx
+SPDX-License-Identifier: AGPL-3.0-or-later
+```
+
+## Citation
+
+```bibtex
+@article{sato2021rna,
+  author    = {Sato, Kengo and Akiyama, Manato and Sakakibara, Yasubumi},
+  journal   = {Nature Communications},
+  month     = feb,
+  number    = 1,
+  pages     = {941},
+  publisher = {Springer Science and Business Media LLC},
+  title     = {{RNA} secondary structure prediction using deep learning with thermodynamic integration},
+  volume    = 12,
+  year      = 2021
+}
+```

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