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README.md
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---
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pretty_name: "GAMBA Functional Region Multiclass"
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license: mit
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tags:
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configs:
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- config_name: full-causal
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data_files:
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- config_name: full-bidi
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data_files:
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- config_name: 100bp-causal
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data_files:
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- config_name: 100bp-bidi
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data_files:
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---
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# GAMBA
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views with corrected RepeatMasker orientation (84,841 full rows or 58,646
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100 bp rows).
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masked/bidirectional models. The parquet `split` column marks `chr2`, `chr3`,
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`chr16`, and `chr22` as held-out `test`; Hugging Face split `all` loads the
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physical file.
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span. Repeat rows preserve `repeat_class`; all emitted strands are `+` or `-`.
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The phyloP columns use the pinned Zoonomia 241-mammal track.
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---
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pretty_name: "GAMBA Functional Region Multiclass"
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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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- multiclass-classification
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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: full-causal
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data_files:
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- split: all
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path: functional-multiclass-gamba-full-causal.parquet
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- config_name: full-bidi
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data_files:
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- split: all
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path: functional-multiclass-gamba-full-bidi.parquet
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- config_name: 100bp-causal
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data_files:
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- split: all
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path: functional-multiclass-gamba-100bp-causal.parquet
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- config_name: 100bp-bidi
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data_files:
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- split: all
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path: functional-multiclass-gamba-100bp-bidi.parquet
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---
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# GAMBA Functional Region Multiclass
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This representation benchmark asks whether frozen sequence embeddings
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separate genomic functional categories. Each row is one annotated region;
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`label == category`.
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## Loading
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```python
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from datasets import load_dataset
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full_bidi = load_dataset(
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"Taykhoom/functional-multiclass-gamba",
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"full-bidi",
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split="all",
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)
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paper_test = full_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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## Choosing a configuration
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The two dimensions are independent:
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| Dimension | Options | Meaning |
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|---|---|---|
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| Context | `causal`, `bidi` | End-anchor ROI for autoregressive models or center it for bidirectional models. |
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| Pooling | `full`, `100bp` | Pool over the retained ROI or a deterministic 100 bp subspan. |
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The `full` name refers to the retained ROI visible in the 2,048 bp context;
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very long features may be clipped according to GAMBA's context rules. It does
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not mean an unlimited genomic interval.
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The 100 bp span is selected deterministically from the ROI. Published
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`pair_id` values remain stable for unchanged source examples, so unrelated
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RepeatMasker corrections do not shift their chosen windows.
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## Dataset size
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| Config family | Complete rows | Held-out test | Corrected paper rows | Corrected paper test |
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|---|---:|---:|---:|---:|
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| `full-*` | 94,284 | 18,916 | 84,841 | 16,992 |
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| `100bp-*` | 67,626 | 13,593 | 58,646 | 11,781 |
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The corrected paper view excludes `category == "noncoding_regions"`.
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## Labels
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Full configs contain eleven labels:
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| Category | Rows |
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|---|---:|
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| repeats | 9,991 |
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| UCNE | 4,169 |
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| vista_enhancer | 2,628 |
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| promoters | 9,971 |
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| UTR5 | 9,802 |
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| UTR3 | 9,693 |
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| coding_regions | 9,893 |
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| exons | 9,915 |
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| introns | 9,026 |
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| upstream_TSS | 9,753 |
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| noncoding_regions | 9,443 |
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The 100 bp configs contain 67,626 rows. Promoter entries do not satisfy the
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100 bp retained-span criterion and are absent; `vista_enhancer` has 2,621
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rows, and other categories are filtered by eligible ROI length.
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## Evaluation protocol
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For the corrected paper evaluation:
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1. filter `split == "test"`;
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2. exclude `noncoding_regions`;
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3. pool embeddings over the stored span;
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4. perform cosine leave-one-out 1-nearest-neighbor classification;
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5. report balanced accuracy.
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No supervised model-fitting split is implied by Hugging Face split `all`.
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## Columns
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| Column group | Description |
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| `split`, `sequence`, `label`, `pair_id` | Chromosome partition, exact input, functional class, and stable feature ID. |
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| `category`, `repeat_class`, `scope`, `context_policy` | Source class, nullable repeat class, `full`/`100bp` scope, and context geometry. |
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| `chrom`, `start`, `end`, `strand` | Zero-based, half-open hg38 feature coordinates. |
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| `context_start`, `context_end` | Forward-genome context coordinates. |
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| `roi_start`, `roi_end` | Retained feature offsets in oriented `sequence`. |
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| `pool_start_in_window`, `pool_end_in_window` | Evaluation span; ROI or selected 100 bp subspan. |
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| `name` | Source annotation identifier. |
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| `phylop_*`, `phylop_context_*` | Pooling-span and symmetric-context phyloP summaries. |
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## RepeatMasker correction
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RepeatMasker genomic strand and repeat class are stored separately. This
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release corrects an earlier local conversion that placed the repeat class in
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the strand column, then regenerates repeat-derived contexts, pools, controls,
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and phyloP features. Labels are unchanged.
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## Processing and citation
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Processing and verification:
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https://github.com/TaykhoomDalal/Gamba-Processing/tree/main/Functional-Regions
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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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## License
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GAMBA benchmark code/data are MIT licensed. Upstream resources retain their
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own terms.
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