Update README.md

README.md

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----
-license: cc-by-4.0
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+---
+license: cc-by-4.0
+task_categories:
+- token-classification
+language:
+- en
+tags:
+- RNA
+pretty_name: PlanRNAFM Preprocessed Transcriptome
+size_categories:
+- 1M<n<10M
+---
+
+# PlantRNAFM preprocessed transcriptome
+**This dataset was not prepared by the authors of the original paper, it is my attempt to reproduce their published preprocessing pipeline**
+
+PlantRNAFM is a foundation model for plant RNA, published in Nature Machine Intelligence: https://www.nature.com/articles/s42256-024-00946-z 
+
+The dataset on which it was trained contains, in part, a set of processed transcriptomes where the 5', CDS and 3' regions are labelled. One of the tasks on which the foundation model was trained is to label these regions.
+
+The original dataset comes from the [onekp project](https://www.nature.com/articles/s41586-019-1693-2), where the full transcriptome of over 1000 plants is available. This dataset is a preprocessed version of that data, packaged in parquet.
+
+## The preprocessing
+Transcriptomes and proteomes for >1400 plants were downloaded and we run the following pipeline:
+
+1. Use tblastn to map the translated proteins onto the transcribed nucleotides
+2. Filter for best hit with evalue 1e-10 and qcov_hsp_perc 70.0
+3. Convert hits into parquet, along with a representation of the 5'/CDS/3' labelling
+
+The preprocesing pipeline is available here: https://github.com/afg1/plantrnafm_preprocessing
+
+## What do I do with it
+This dataset _should_ be equivalent to the one used for the region labelling task in the PlantRNAFM pretraining task, so you could use it for tasks like that.