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seq
large_stringlengths
23
23
label
float64
0.03
0.69
TTCACTGCGCAGCCTGGCATTGG
0.261026
TTCATTTACTGACTTCAGATTGG
0.088202
AAAGAGGTCGAAGATGTAGCGGG
0.103584
CAAGATTGATCAGAAAGCTGTGG
0.274124
TTCACTGCCAGTTCTCCGCGTGG
0.315928
CTCCTGGATAACAACGTTGATGG
0.084915
TTTCTTGTTCTCCACCAAGGTGG
0.218952
AGTCCCACCACCTCGAACTCTGG
0.160351
AGGTGAAGATCATGCTGCCCTGG
0.198797
CCTGACGCCCGAGCAGCAGGAGG
0.227806
GATCGCACCACATCAATGATGGG
0.166885
CATCTTGCATGGCCCGAGTGCGG
0.57097
CAAAGGATACCTCGCTAGCTAGG
0.082736
ACAACTCAGCCCTGCTCATGAGG
0.157668
GCAGTTCCCGGGCGGCCTTGCGG
0.200919
AAGCGGAGCCAACATGCCAGTGG
0.252417
CTCTCTGGTATGCCATGATCAGG
0.145544
TCAACATTGCTCGACAGATGCGG
0.551833
GCCGTATTTCTACTGCGACGAGG
0.370816
TGCCAGAAAGATCAGTGACATGG
0.168139
TCCCTCCGCCTCACCATTCCTGG
0.337911
GCGGCAGCGAGTTGAACTTTAGG
0.076207
TACTTCCGCTTCTTGTGGTAGGG
0.087978
GACACAGTATAAGAAGGGCAAGG
0.170165
CTATGACCTCGACTACGACTCGG
0.39672
CATAACTGCCACGCAGGAGTTGG
0.23552
AGCTCTTCTGCTGAAGAATTTGG
0.168442
ATAGCAAGTGCAAGGTCAAATGG
0.230712
GGAAGTAACACGCACCAGCTTGG
0.223934
GATTTCATCAAGTTCGACACTGG
0.208165
GCACTGTCTTGCTCAGAGGCCGG
0.159818
CACGATGGCGACCTCGGGCTCGG
0.241564
GACCATAACTGATGATGTGCGGG
0.38378
AAGGAGGCTGCTGTCGATTAAGG
0.038199
AGGCTCCAAACAGGCATGCGAGG
0.192965
CAGATCTTGATGCCCAACATTGG
0.296192
CAGCACTACATACCTTCTGGCGG
0.266641
ACAGGAGGCGGTAAAGGAGGTGG
0.177645
CATCCGAACCAAGGACATTGAGG
0.203144
ACTCTGAAGATGATCAGACAAGG
0.256291
AAATGAAACTGAAGATCATTTGG
0.088729
TCTCTGGACGGCTACGGCGTAGG
0.378189
GTGGTCAGTGAACTCCTGATAGG
0.165785
AGACATGACCAGTGCTGGTAGGG
0.190526
CACCTCCATAGGCAGTGCCAAGG
0.03724
GATGGAGATGAGGCTTCCAGTGG
0.388117
CAAGTTGGGCCGCTTGGTCAAGG
0.258271
TGAAACGGTATAATCGGAATCGG
0.158353
GCAATTCTTCACCAGGGTCTTGG
0.231043
CCGCCAAGTCCTTCAAGTTCTGG
0.238571
TTCACCTGGAACAAGCGGAGTGG
0.285399
AACTGCTGTGCCCAGTTACGAGG
0.216071
GATCTTTGCTGGCAAGCAGCTGG
0.038268
TTCCCTCCTCTAGGAGCTCGAGG
0.062328
TTCTGGGCAACCTCCTCTTCTGG
0.203331
GGGAGTCATGGTGGCCAAGAAGG
0.406111
CTGTCAGATCCTTTGGCATCCGG
0.138137
AGGTCTGTGTGCCATTGCCCAGG
0.40533
ATAAGGCAAAGAGGAACTGCTGG
0.456121
TTCAGGACACTGGTCTCACTGGG
0.125132
ACAGAGGTCCTCAAGACCCACGG
0.166413
ATGGTGAATGCCAAATTTGAAGG
0.230471
GCCGAAAGGAAAGAAGGCCAAGG
0.233893
GTGGCCCTCTGGACAAGTGGCGG
0.163562
CGCGGACGGGTTGTGCCTGGAGG
0.306166
ACGCTCGTCACCAGGACCCAAGG
0.219989
GAGTCTCACTCTCACTCAGGTGG
0.129476
GAGTGCCCTTCTGATGAATGTGG
0.38891
CTTTGTATGCCCAGGGAAGGAGG
0.311082
TCCCAGGTACTCACGGGAGTTGG
0.322198
CAGGAAGTTGAGCCTCTGGAAGG
0.360092
CACCTTGAGACGGTCCAGAGCGG
0.312546
GCGGTAGGAACATGGCGGATCGG
0.258647
ATTTACAAACTGGCCAAGAAGGG
0.11295
GCGTTTGATCATCTCGTCCGTGG
0.18641
GTTGCTTCCATAACCAATGTTGG
0.209436
GTTAGATTTACCTTCTATGATGG
0.317617
GAAACAAATACACCCATTGAAGG
0.378216
TGGTAGCGAGCGCGGGCACCAGG
0.086223
GAAGGACGAGCTGGAGCGTGTGG
0.294816
GCTGGCATCACTTTGAGGGAGGG
0.272578
ACAGCCGGGTACCTTGAACCTGG
0.468763
GTTTCCGCTTTGTGGCCACATGG
0.030038
AGCAACATTTCCGCCGCCAAAGG
0.237188
CCACGCGGTCCTCCTCCGAGAGG
0.352917
TCACCTGGCTGTCAACTTCTTGG
0.105846
CTCCCGCAGCCCGAGATGATCGG
0.169247
TGCCCTTTCACTTCAGAAACAGG
0.160247
CTACATCGACAACCTCATGGCGG
0.300987
CTGGGCACTCACATCTTGCATGG
0.204216
ATGCAGTCCAGGGCAGTAGATGG
0.11751
GACATCCGTGTCCGTGTAAAGGG
0.077445
AGCCAAGGAAGCCGCAGAACAGG
0.057558
AGAGAAGAAGCAGAGACTGTTGG
0.245997
AGGCACCTCGCATGCCTGTTTGG
0.111745
GGGTGAAGAACTTCGGGATCTGG
0.226545
TATATGCGAATCTATAAGAAAGG
0.393617
TGCAGGCAGAATGCTGGTGACGG
0.259684
AGGTGCGAGTTACACCAACCAGG
0.219402
TAGACAGTCACTTCGGTCCCTGG
0.19495
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BEACON — CRISPROnTarget

CRISPR RNA on-target 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

Split Rows File
train 1453 data/train.parquet
validation 207 data/validation.parquet
test 416 data/test.parquet

Standardized schema

Field Arrow type
seq large_string
label double

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

from datasets import load_dataset

dataset = load_dataset("jiahaozhang2003/beacon-crispr-on-target")

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.

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