--- license: - cc-by-4.0 - other pretty_name: mRNABench (curated) size_categories: - 1M/_.csv.gz`, where `v1` is the version of the data. A dataset whose sequences change appears under a new prefix rather than being rewritten here. ## Licence and provenance - Collection DOI: https://doi.org/10.1101/2025.07.05.662870 | dataset | licence | |---|---| | `mrl-sample-designed` | [No restrictions (GEO deposition)](https://www.ncbi.nlm.nih.gov/home/about/policies/) | | `mrl-sample-egfp-m1pseudo` | [No restrictions (GEO deposition)](https://www.ncbi.nlm.nih.gov/home/about/policies/) | | `mrl-sample-egfp-pseudo` | [No restrictions (GEO deposition)](https://www.ncbi.nlm.nih.gov/home/about/policies/) | | `mrl-sample-egfp-unmod` | [No restrictions (GEO deposition)](https://www.ncbi.nlm.nih.gov/home/about/policies/) | | `mrl-sample-mcherry` | [No restrictions (GEO deposition)](https://www.ncbi.nlm.nih.gov/home/about/policies/) | | `mrl-sample-varying` | [No restrictions (GEO deposition)](https://www.ncbi.nlm.nih.gov/home/about/policies/) | | `mrl-sugimoto` | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | | `rnahl-human` | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | | `rnahl-mouse` | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | | `translation-efficiency-human` | [No restrictions (author statement)](https://doi.org/10.1038/s41587-025-02712-x) | | `translation-efficiency-mouse` | [No restrictions (author statement)](https://doi.org/10.1038/s41587-025-02712-x) | ## Every row has an identity Each file carries two columns the upstream release does not: - `id` - `::::`, the index zero-padded to 7 digits. - `row_index` - the row's 0-based position in this file. Row order is fixed within a major version, so an `id` names the same sequence for as long as that version exists - which is what makes a reported number traceable to what it was computed on. The corpus metadata carries the SHA-256 of every split file, so a copy can be checked against the audited one. ## Citation Cite the collection's own publication (https://doi.org/10.1101/2025.07.05.662870) for the data, and *Automated quality control for genomic sequence benchmarks reveals pervasive single-feature separability and train-test leakage* for the curation and the audit.