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id
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6hiw_CA
"UAAAUUAUGGUCAAUUGUUAGUAUUCAUAUUAAUUUUUUUAAAUGUUUUAUCAUUUUAUAAAGGUUUAUUUUUGAAAGAUUUUUUGUAUAAAAUUUUAG(...TRUNCATED)
distance_map/6hiw_CA.npy
[[0.0,0.08021155744791031,0.38394397497177124,0.5951331853866577,0.8466871380805969,1.0,1.0,1.0,1.0,(...TRUNCATED)
[0,1]
5y7m_D
GUAUGGUUAACCCGCAGACGAUCGAAAGGGAUGUGGAUGAAAGCCUAAGCC
distance_map/5y7m_D.npy
[[0.0,0.08036389201879501,0.3257058560848236,0.4338611662387848,0.6114059686660767,0.714321494102478(...TRUNCATED)
[0,1]
6eri_Ax
"UUCUGGUGUCCUAGGCGUAGAGGAACCACACCAAUCCAUCCCGAACUUGGUGGUUAAACUCUACUGCGGUGACGAUACUGUAGGGGAGGUCCUGCGGAA(...TRUNCATED)
distance_map/6eri_Ax.npy
[[0.0,0.08031776547431946,0.3144703507423401,0.47137007117271423,0.5955279469490051,0.71055680513381(...TRUNCATED)
[0,1]
1i6u_C
GGGCCCGGUAAGUCUCUUCGGAGAUACUGCCGGGCCC
distance_map/1i6u_C.npy
[[0.0,0.08013574779033661,0.3188118636608124,0.49228614568710327,0.6458315849304199,0.80390721559524(...TRUNCATED)
[0,1]
4x4v_B
GGCGCUGCGGGGUUCGAGUCCCCGCAGGCCACC
distance_map/4x4v_B.npy
[[0.0,0.08008971065282822,0.3045717477798462,0.5548700094223022,0.7693038582801819,0.904918968677520(...TRUNCATED)
[0,1]
3zgz_B
GGCCCGGAUGGUGGAAUCGGUAGACACAAGGGAUUCCCUCGGCGUUCGCGCUGUGCGGGUUCAAGUCCCGCUCCGGGCACCA
distance_map/3zgz_B.npy
[[0.0,0.08006609976291656,0.2818490266799927,0.4620351195335388,0.5379671454429626,0.585248053073883(...TRUNCATED)
[0,1]
4v9k_AW
GGCUACGUAGCUCAGUUGGUUAGAGCACAUCACUCAUAAUGAUGGGGUCACAGGUUCGAAUCCCGUCGUAGCCACCA
distance_map/4v9k_AW.npy
[[0.0,0.08024898916482925,0.2627871334552765,0.4944389760494232,0.6234081387519836,0.742091059684753(...TRUNCATED)
[0,1]
4xnr_X
GGGAAGAUAUAAUCCUAAUGAUAUGGUUUGGGAGUUUCUACCAAGAGCCUUAAACUCUUGAUUAUCUUCCC
distance_map/4xnr_X.npy
[[0.0,0.08033290505409241,0.29197120666503906,0.4274769425392151,0.5724868178367615,0.64734452962875(...TRUNCATED)
[0,1]
6qx9_1
"AUACUUACCUGGCAGGGGAGAUACCAUGAUCACGAAGGUGGUUUUCCCAGGGCGAGGCUUAUCCAUUGCACUCCGGAUGUGCUGACCCCUGCGAUUUCC(...TRUNCATED)
distance_map/6qx9_1.npy
[[0.0,0.07989580184221268,0.304716557264328,0.4647758901119232,0.5781203508377075,0.6733545064926147(...TRUNCATED)
[0,1]
4yye_C
GUUAUAUUAGCUUAAUUGGUAGAGCAUUCGUUUUGUAAUCGAAAGGUUUGGGGUUCAAAUCCCUAAUAUAACAC
distance_map/4yye_C.npy
[[0.0,0.0804903656244278,0.32122689485549927,0.43636026978492737,0.5314856171607971,0.53254735469818(...TRUNCATED)
[0,1]
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BEACON — DistanceMap

Nucleotide-level RNA distance-map prediction with official normalized pairwise targets.

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 188 data/train.parquet
validation 23 data/validation.parquet
test 80 data/test.parquet
test_RFAM19 19 data/test_RFAM19.parquet
test_DIRECT 6 data/test_DIRECT.parquet

Standardized schema

Field Arrow type
id string
sequence string
target_file string
target list<element: list<element: double>>
target_range string

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.
  • The official distance targets are already normalized to [0, 1]; no additional clipping or rescaling is applied.
  • RFAM19 and DIRECT are retained as separate test splits.

Usage

from datasets import load_dataset

dataset = load_dataset("jiahaozhang2003/beacon-distance-map")

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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