beacon-modification / README.md
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Publish official BEACON task dataset
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---
license: other
task_categories:
- other
tags:
- beacon
- rna
---
# BEACON — Modification
RNA modification 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 | 304661 | `data/train.parquet` |
| validation | 3599 | `data/validation.parquet` |
| test | 1200 | `data/test.parquet` |
## Standardized schema
| Field | Arrow type |
|---|---|
| `sequence` | `large_string` |
| `label` | `large_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.
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("jiahaozhang2003/beacon-modification")
```
## 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.