Datasets:
ZhiyuanChen
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Browse files- README.md +96 -0
- test.parquet +3 -0
- train.parquet +3 -0
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-Switch
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library_name: multimolecule
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---
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# EternaBench-Switch
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![EternaBench-Switch](https://eternagame.org/sites/default/files/thumb_eternabench_paper.png)
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EternaBench is a database comprising the diverse high-throughput structural data gathered through the crowdsourced RNA design project Eterna, to evaluate the performance of a wide set of structure algorithms.
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## Disclaimer
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This is an UNOFFICIAL release of the [EternaBench-Switch](https://github.com/eternagame/EternaBench) by Hannah K. Wayment-Steele, et al.
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**The team releasing EternaBench-Switch 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_switch
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- **datasets**: https://huggingface.co/datasets/multimolecule/eternabench-switch
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- **Point of Contact**: [Rhiju Das](https://biochemistry.stanford.edu/people/rhiju-das/)
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## Example Entry
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| ID | design_name | sequence | structure | reactivity | errors | signal_to_noise |
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| -------- | ---------------------- | ---------------- | ---------------- | -------------------------- | --------------------------- | --------------- |
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| 769337-1 | d+m plots weaker again | GGAAAAAAAAAAA... | ................ | [0.642,1.4853,0.1629, ...] | [0.3181,0.4221,0.1823, ...] | 3.227 |
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## Column Description
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The EternaBench-Switch dataset consists of the following columns, providing crucial insights for understanding RNA stability for vaccine design:
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- **ID**:
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A unique identifier for each RNA sequence entry.
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- **design_name**:
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The name given to each RNA design by contributors, used for easy reference.
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- **sequence**:
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The nucleotide sequence of the RNA, using standard bases.
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- **structure**:
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The predicted secondary structure of the RNA, represented using dot-bracket notation.
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The structure helps determine the likely secondary interactions within each RNA molecule.
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- **reactivity**:
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A list of floating-point values that provide an estimate of the likelihood of the RNA backbone being cut at each nucleotide position.
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These values help determine the stability of the RNA structure under various experimental conditions.
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- **errors**:
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Arrays of floating-point numbers indicating the experimental errors corresponding to the measurements in the **reactivity**.
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These values help quantify the uncertainty in the degradation rates and reactivity measurements.
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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 sha256:9d390188b1847bb1e2e6dc31b9efdf46d747be8244f278f2a3638203c8f299ed
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size 465613
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train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:98fca52f79fadb49661e98ba036803dcf88b4bd17867d80aeb57117d2c550836
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size 795168
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