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  ---
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  pretty_name: "GAMBA Functional Regions: Feature vs Category-Matched Random"
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  license: mit
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- tags: [biology, genomics, genome-language-model, benchmark, hg38, parquet]
 
 
 
 
 
 
 
 
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  configs:
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  - config_name: causal
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- data_files: [{split: all, path: functional-random-gamba-causal.parquet}]
 
 
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  - config_name: bidi
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- data_files: [{split: all, path: functional-random-gamba-bidi.parquet}]
 
 
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  ---
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- # GAMBA feature-vs-random benchmark
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- Each feature is paired with a chromosome- and length-matched random control
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- that avoids retained anchors from the same category. Both configs contain
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- 188,568 rows; filtering `category != "noncoding_regions"` gives the
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- 169,682-row corrected paper view.
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- Use `causal` for left-to-right models and `bidi` for masked/bidirectional
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- models. The parquet `split` column marks `chr2`, `chr3`, `chr16`, and `chr22`
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- as held-out `test`; Hugging Face split `all` loads the physical file.
 
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- Coordinates are zero-based, half-open hg38. `sequence` is strand-oriented,
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- `roi_*` marks the feature/control, and `pool_*_in_window` is the evaluation
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- span. Repeat rows preserve `repeat_class`; emitted strands are only `+` or
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- `-`. The phyloP columns use the pinned Zoonomia 241-mammal track.
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- Processing is derived from Microsoft GAMBA commit
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- `e83984ea20bb4ee017993144fbe17e7bae3cdddc` and corrects the source
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- RepeatMasker strand/class field mapping.
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- Please cite Consens et al. (2026), doi:10.64898/2026.02.02.703275.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  pretty_name: "GAMBA Functional Regions: Feature vs Category-Matched Random"
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  license: mit
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+ tags:
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+ - biology
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+ - genomics
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+ - dna
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+ - regulatory-genomics
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+ - genome-language-model
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+ - benchmark
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+ - hg38
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+ - parquet
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  configs:
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  - config_name: causal
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+ data_files:
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+ - split: all
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+ path: functional-random-gamba-causal.parquet
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  - config_name: bidi
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+ data_files:
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+ - split: all
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+ path: functional-random-gamba-bidi.parquet
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  ---
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+ # GAMBA Functional Regions: Feature vs Category-Matched Random
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+ This paired binary representation benchmark asks whether a model can
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+ distinguish an annotated functional region from a chromosome- and
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+ length-matched random control.
 
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+ For this dataset, a random control avoids retained anchors from the **same
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+ functional category**. It may overlap annotations from other categories.
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+ Use the annotation-free random dataset if controls must avoid every retained
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+ annotation category.
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+ Each feature/control pair shares `pair_id`.
 
 
 
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+ ## Loading
 
 
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+ ```python
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+ from datasets import load_dataset
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+
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+ bidi = load_dataset(
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+ "Taykhoom/functional-random-gamba",
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+ "bidi",
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+ split="all",
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+ )
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+
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+ paper_test = bidi.filter(
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+ lambda row: row["split"] == "test"
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+ and row["category"] != "noncoding_regions"
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+ )
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+ ```
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+
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+ ## Dataset size and splits
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+
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+ | Scope | Rows | Held-out `test` rows |
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+ |---|---:|---:|
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+ | Complete release | 188,568 | 37,832 |
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+ | Corrected paper categories | 169,682 | 33,984 |
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+
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+ Labels are balanced: 94,284 `feature` and 94,284 `random` rows.
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+
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+ Rows on `chr2`, `chr3`, `chr16`, and `chr22` are marked `test`; remaining
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+ included chromosomes are `train`. The Hugging Face split `all` loads the
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+ whole physical file.
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+
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+ ## Categories
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+
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+ The complete release contains 94,284 source features across:
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+
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+ ```text
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+ repeats, UCNE, vista_enhancer, promoters, UTR5, UTR3,
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+ coding_regions, exons, introns, upstream_TSS, noncoding_regions
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+ ```
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+
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+ `category != "noncoding_regions"` yields the corrected ten-category paper
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+ view. `repeat_class` is populated on the 19,982 repeat-derived rows
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+ (feature and matched control).
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+
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+ ## Context configurations
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+
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+ | Config | Geometry |
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+ |---|---|
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+ | `causal` | ROI end-anchored after strand orientation for autoregressive models. |
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+ | `bidi` | ROI centered for bidirectional/masked models. |
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+
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+ All sequences are 2,048 bp and use uppercase hg38 bases.
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+
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+ ## Evaluation
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+
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+ For the paper protocol:
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+
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+ 1. filter `split == "test"`;
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+ 2. exclude `category == "noncoding_regions"`;
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+ 3. pool each representation over
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+ `[pool_start_in_window, pool_end_in_window)`;
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+ 4. evaluate cosine leave-one-out 1-nearest-neighbor balanced accuracy.
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+
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+ ## Columns
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+
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+ | Column group | Description |
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+ |---|---|
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+ | `split`, `sequence`, `label`, `pair_id` | Chromosome partition, exact input, `feature`/`random` class, and matched pair. |
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+ | `category`, `repeat_class`, `scope` | Source category, nullable repeat class, and `full` scope. |
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+ | `context_policy` | `causal` or `symmetric`. |
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+ | `chrom`, `start`, `end`, `strand` | Zero-based, half-open hg38 coordinates. |
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+ | `context_start`, `context_end` | Forward-genome sequence context coordinates. |
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+ | `roi_start`, `roi_end` | Feature/control offsets inside oriented `sequence`. |
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+ | `pool_start_in_window`, `pool_end_in_window` | Evaluation pooling offsets. |
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+ | `name` | Source/control identifier. |
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+ | `phylop_*`, `phylop_context_*` | Six ROI and six symmetric-context float32 phyloP summaries. |
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+
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+ ## Corrected repeat processing
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+
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+ RepeatMasker genomic strand and repeat class are separate fields. The release
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+ uses UCSC `rmsk` field 9 as `strand`, field 11 as `repeat_class`, and rebuilds
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+ repeat-derived controls and sequence orientation. Labels remain unchanged.
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+
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+ Published pair identities and deterministic 100 bp selections for unaffected
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+ features are preserved.
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+
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+ ## Processing and citation
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+
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+ Processing and verification:
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+
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+ https://github.com/TaykhoomDalal/Gamba-Processing/tree/main/Functional-Regions
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+
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+ Consens, M. E. et al. *Predicting evolutionary rate as a pretraining task
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+ improves genome language model representations*. bioRxiv (2026).
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+ https://doi.org/10.64898/2026.02.02.703275
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+
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+ ## License
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+
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+ GAMBA benchmark code/data are MIT licensed. Upstream resources retain their
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+ own terms.