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jiahaozhang2003/beacon-programmable-rna-switches

BEACON — ProgrammableRNASwitches Programmable RNA-switch activity prediction data. Official data from the shared BEACON/RNABenchmark Drive folder: https://drive.google.com/drive/folders/19ddrwI8ycvIxkgSV3gDo_VunLofYd4-6?hl=en. This repository is the standardized Hugging Face publication of the official task data. The data/ directory is the canonical viewer-friendly layer, and the original files and directory layout are preserved for reproducibility. beacon_manifest.json records… See the full description on the dataset page: https://huggingface.co/datasets/jiahaozhang2003/beacon-programmable-rna-switches.

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Dataset Card

BEACON — ProgrammableRNASwitches

Programmable RNA-switch activity prediction data.

Official data from the shared BEACON/RNABenchmark Drive folder: https://drive.google.com/drive/folders/19ddrwI8ycvIxkgSV3gDo_VunLofYd4-6?hl=en.

This repository is the standardized Hugging Face publication of the official task data. The data/ directory is the canonical viewer-friendly layer, and the original files and directory layout are preserved for reproducibility. beacon_manifest.json records source file IDs, checksums, sizes, split counts, schema, and processing notes. Interrupted-upload artifacts ending in .partial are retained only in the GPUHub raw staging area and excluded from the published repository.

Canonical splits

SplitRowsFile
train73227data/train.parquet
validation9153data/validation.parquet
test9154data/test.parquet

Standardized schema

FieldArrow type
sequencelarge_string
ONdouble
OFFdouble
ON_OFFdouble

Standardization notes

  • —Canonical split names are train, validation, and test; source val.csv/val_1.json is published as validation.
  • —The official raw directory tree is preserved alongside the standardized data/*.parquet files.
  • —Source file names and target paths are retained in beacon_manifest.json for provenance.

Usage

python
from datasets import load_dataset

dataset = load_dataset("jiahaozhang2003/beacon-programmable-rna-switches")

Reproducibility

This repository was generated on GPUHub from the public Drive source with the RiboLoop downstream benchmark data-staging script. No model outputs or training artifacts are included.