mRNABench / README.md
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metadata
license:
  - cc-by-4.0
  - other
pretty_name: mRNABench (curated)
size_categories:
  - 1M<n<10M
tags:
  - genomics
  - benchmark
  - rna
  - regression

mRNABench, curated

mRNABench, as published in quality-curated genomic benchmarks - one format, fixed row order, a permanent ID on every row. 11 datasets, 33 files, 1,413,237 rows, one gzipped CSV per split.

Getting the data

Two packages are the way in: genomic-benchmarks-data for people, genomic-benchmarks-data4agents for agents, the same functions either way. They resolve the URL, check the checksum, and carry each dataset's QC results, which this repository does not.

pip install genomic-benchmarks-data
from genomic_benchmarks_data import load_dataset

df = load_dataset("mRNABench", "mrl-sample-designed", "train")

A number measured on these files belongs on the leaderboard, which is what makes two of them comparable, and which prints what QC found about a dataset above every table.

Datasets

dataset task species train val test
mrl-sample-designed Regression Homo sapiens 70011 15003 15003
mrl-sample-egfp-m1pseudo Regression Homo sapiens 222927 47770 47771
mrl-sample-egfp-pseudo Regression Homo sapiens 222927 47770 47771
mrl-sample-egfp-unmod Regression Homo sapiens 222927 47770 47771
mrl-sample-mcherry Regression Homo sapiens 134257 28770 28770
mrl-sample-varying Regression Homo sapiens 74571 15979 15980
mrl-sugimoto Regression Homo sapiens 8186 1753 1754
rnahl-human Regression Homo sapiens 9057 1942 1940
rnahl-mouse Regression Mus musculus 9606 2058 2059
translation-efficiency-human Regression Homo sapiens 7196 1543 1542
translation-efficiency-mouse Regression Mus musculus 7597 1628 1628

Files are v1/<dataset>/<dataset>_<split>.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

dataset licence
mrl-sample-designed No restrictions (GEO deposition)
mrl-sample-egfp-m1pseudo No restrictions (GEO deposition)
mrl-sample-egfp-pseudo No restrictions (GEO deposition)
mrl-sample-egfp-unmod No restrictions (GEO deposition)
mrl-sample-mcherry No restrictions (GEO deposition)
mrl-sample-varying No restrictions (GEO deposition)
mrl-sugimoto CC BY 4.0
rnahl-human CC BY 4.0
rnahl-mouse CC BY 4.0
translation-efficiency-human No restrictions (author statement)
translation-efficiency-mouse No restrictions (author statement)

Every row has an identity

Each file carries two columns the upstream release does not:

  • id - <collection>:<dataset>:<version>:<split>:<row index>, 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.