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README.md
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---
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language: rna
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tags:
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- Biology
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- RNA
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license:
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- agpl-3.0
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size_categories:
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- 1K<n<10K
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task_categories:
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- text-generation
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- fill-mask
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task_ids:
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- language-modeling
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- masked-language-modeling
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pretty_name: EternaBench-External
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library_name: multimolecule
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---
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# EternaBench-External
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![EternaBench-External](https://eternagame.org/sites/default/files/thumb_eternabench_paper.png)
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EternaBench-External consists of 31 independent RNA datasets from various biological sources, including viral genomes, mRNAs, and synthetic RNAs.
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These sequences were probed using techniques such as SHAPE-CE, SHAPE-MaP, and DMS-MaP-seq to understand RNA secondary structures under different experimental and biological conditions.
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This dataset serves as a benchmark for evaluating RNA structure prediction models, with a particular focus on generalization to natural RNA molecules.
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## Disclaimer
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This is an UNOFFICIAL release of the [EternaBench-External](https://github.com/eternagame/EternaBench) by Hannah K. Wayment-Steele, et al.
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**The team releasing EternaBench-External did not write this dataset card for this dataset so this dataset card has been written by the MultiMolecule team.**
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## Dataset Description
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- **Homepage**: https://multimolecule.danling.org/datasets/eternabench_external
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- **Point of Contact**: [Rhiju Das](https://biochemistry.stanford.edu/people/rhiju-das/)
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This dataset includes RNA sequences from various biological origins, including viral genomes and mRNAs, and covers a wide range of probing methods like SHAPE-CE and icSHAPE.
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Each dataset entry provides sequence information, reactivity profiles, and RNA secondary structure data.
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This dataset can be used to examine how RNA structures vary under different conditions and to validate structural predictions for diverse RNA types.
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## Example Entry
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| name | sequence | reactivity | seqpos | class | dataset |
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| ----------------------------------------------------------- | ----------------------- | -------------------------------- | -------------------- | ---------- | -------------- |
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| Dadonaite,2019 Influenza genome SHAPE(1M7) SSII-Mn(2+) Mut. | TTTACCCACAGCTGTGAATT... | [0.639309,0.813297,0.622869,...] | [7425,7426,7427,...] | viral_gRNA | Dadonaite,2019 |
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## Column Description
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- **name**:
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The name of the dataset entry, typically including the experimental setup and biological source.
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- **sequence**:
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The nucleotide sequence of the RNA molecule, represented using the standard RNA bases:
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- **A**: Adenine
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- **C**: Cytosine
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- **G**: Guanine
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- **U**: Uracil
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- **reactivity**:
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A list of normalized reactivity values for each nucleotide, representing the likelihood that a nucleotide is unpaired.
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High reactivity indicates high flexibility (unpaired regions), and low reactivity corresponds to paired or structured regions.
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- **seqpos**:
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A list of sequence positions corresponding to each nucleotide in the **sequence**.
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- **class**:
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The type of RNA sequence, can be one of the following:
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- SARS-CoV-2_gRNA
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- mRNA
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- rRNA
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- small RNAs
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- viral_gRNA
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- **dataset**:
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The source or reference for the dataset entry, indicating its origin.
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## Variations
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This dataset is available in four variants:
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- [eternabench-external.1200](https://huggingface.co/datasets/multimolecule/eternabench-external.1200): EternaBench-External dataset with maximum sequence length of 1200 nucleotides.
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- [eternabench-external.900](https://huggingface.co/datasets/multimolecule/eternabench-external.900): EternaBench-External dataset with maximum sequence length of 900 nucleotides.
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- [eternabench-external.600](https://huggingface.co/datasets/multimolecule/eternabench-external.600): EternaBench-External dataset with maximum sequence length of 600 nucleotides.
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- [eternabench-external.300](https://huggingface.co/datasets/multimolecule/eternabench-external.300): EternaBench-External dataset with maximum sequence length of 300 nucleotides.
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## Related Datasets
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- [eternabench-cm](https://huggingface.co/datasets/multimolecule/eternabench-cm)
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- [eternabench-switch](https://huggingface.co/datasets/multimolecule/eternabench-switch)
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## License
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This dataset is licensed under the [AGPL-3.0 License](https://www.gnu.org/licenses/agpl-3.0.html).
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```spdx
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SPDX-License-Identifier: AGPL-3.0-or-later
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```
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## Citation
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```bibtex
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@article{waymentsteele2022rna,
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author = {Wayment-Steele, Hannah K and Kladwang, Wipapat and Strom, Alexandra I and Lee, Jeehyung and Treuille, Adrien and Becka, Alex and {Eterna Participants} and Das, Rhiju},
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journal = {Nature Methods},
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month = oct,
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number = 10,
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pages = {1234--1242},
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publisher = {Springer Science and Business Media LLC},
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title = {{RNA} secondary structure packages evaluated and improved by high-throughput experiments},
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volume = 19,
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year = 2022
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}
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```
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test.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:f76fcfe5e7893988134cbd71251a77c137fe42abf8c9265d55b64e7f3738198c
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size 7528444
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