Update README.md

README.md

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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.
+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. Two duplicate were performed per experiment; the average between runs is reported here.
 
 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.
+- mrl_{subset-name}_{chemistry}: Mean ribosome loading for sequence. In eGFP datasets, two alternative RNA biologies are used: pseudo for pseudouridine, m1pseudo for 1-methylpseudouridine. Unmod denotes unmodified RNA biology.
 - 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.