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README.md ADDED
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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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+
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+ # EternaBench-External
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+
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+ ![EternaBench-External](https://eternagame.org/sites/default/files/thumb_eternabench_paper.png)
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+
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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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+
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+ ## Disclaimer
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+
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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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+
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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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+
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+ ## Dataset Description
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+
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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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+
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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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+
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+ ## Example Entry
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+
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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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+
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+ ## Column Description
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ - **class**:
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+ The type of RNA sequence, can be one of the following:
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+
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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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+
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+ - **dataset**:
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+ The source or reference for the dataset entry, indicating its origin.
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+
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+ ## Variations
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+
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+ This dataset is available in four variants:
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+
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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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+
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+ ## Related Datasets
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+
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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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+
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+ ## License
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+
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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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+
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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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+
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+ ## Citation
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+
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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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