Update README.md

README.md

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     - split: train
       path: mrl-sample-designed.parquet
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+# Overview
+Mean ribosome load (MRL) is a measure of translational efficient. This experimental dataset is a massively parallel translational assay, which assesses the translational impact of randomized 5'UTR sequences within an eGFP or mCherry reporter construct. For the eGFP experiments, two alternative RNA biologies are also evaluated. The varying and designed subsets use a variable length 5'UTR sequence and algorithmically designed 5'UTRs, respectively.
+
+This dataset is redistributed as part of mRNABench: https://github.com/morrislab/mRNABench
+
+# Data Format
+
+Description of data columns:
+- Target: First PCA component of half-life measurements across aggregated datasets.
+- CDS: binary track which reports position of first nucleotide in each codon in CDS.
+- Splice: binary track which reports position of the 3' end of each exon, indicating splice sites.
+  
+# Data Source
+This dataset is a Hugging Face redistribution of the MRL dataset originally collected by Sample et al. 2019. The data has been obtained from the Gene Expression Omnibus, with accession number GSE114002 and BioProject PRJNA454863. Listed below are the data sources and citation:
+
+Original paper: https://pmc.ncbi.nlm.nih.gov/articles/PMC7100133/  
+Original dataset source: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE114002    
+Citation: Sample, P.J., Wang, B., Reid, D.W. et al. Human 5′ UTR design and variant effect prediction from a massively parallel translation assay. Nat Biotechnol 37, 803–809 (2019). https://doi.org/10.1038/s41587-019-0164-5