id stringlengths 6 8 | sequence stringlengths 33 941 | target_file stringlengths 23 25 | target listlengths 33 941 | target_range stringclasses 1
value |
|---|---|---|---|---|
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] |
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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