Datasets:
metadata
license: apache-2.0
task_categories:
- text-generation
tags:
- biology
- genomics
- dna
- benchmark
configs:
- config_name: motif_human
data_files:
- split: test
path: motif_human/test-*
- config_name: promoter_revcomp
data_files:
- split: test
path: promoter_revcomp/test-*
- config_name: syn_human
data_files:
- split: test
path: syn_human/test-*
- config_name: syn_mouse
data_files:
- split: test
path: syn_mouse/test-*
- config_name: synonymous_codons
data_files:
- split: train
path: synonymous_codons/data.parquet
- config_name: tata
data_files:
- split: train
path: tata/data.parquet
dataset_info:
- config_name: motif_human
features:
- name: benchmark_id
dtype: string
- name: script_version
dtype: string
- name: annotation_source
dtype: string
- name: genome_assembly
dtype: string
- name: upstream_flank_bp
dtype: int64
- name: motif
dtype: string
- name: actual_motif
dtype: string
- name: patch_len_bp
dtype: int64
- name: start_after_bp
dtype: int64
- name: random_seed
dtype: int64
- name: species
dtype: string
- name: chr
dtype: string
- name: chrom_length
dtype: int64
- name: strand
dtype: string
- name: cds_genome_start
dtype: int64
- name: cds_genome_end
dtype: int64
- name: window_genome_start
dtype: int64
- name: window_genome_end
dtype: int64
- name: upstream_actual
dtype: int64
- name: is_clamped
dtype: int64
- name: transcript_id
dtype: string
- name: gene_id
dtype: string
- name: gene_name
dtype: string
- name: exon_rank
dtype: int64
- name: is_first_exon
dtype: int64
- name: frame
dtype: int64
- name: phase_gtf
dtype: int64
- name: cds_start_in_seq
dtype: int64
- name: cds_end_in_seq
dtype: int64
- name: cds_length
dtype: int64
- name: patch_start_in_cds
dtype: int64
- name: patch_end_in_cds
dtype: int64
- name: patch_start_in_seq
dtype: int64
- name: patch_end_in_seq
dtype: int64
- name: original_sequence
dtype: string
- name: sequence
dtype: string
splits:
- name: test
num_bytes: 334784354
num_examples: 20000
download_size: 152132105
dataset_size: 334784354
- config_name: promoter_revcomp
features:
- name: benchmark_id
dtype: string
- name: species
dtype: string
- name: genome_assembly
dtype: string
- name: annotation_source
dtype: string
- name: total_window
dtype: int64
- name: prom_up
dtype: int64
- name: prom_down
dtype: int64
- name: prom_len
dtype: int64
- name: chr
dtype: string
- name: start
dtype: int64
- name: end
dtype: int64
- name: strand
dtype: string
- name: tss_1based
dtype: int64
- name: epd_id
dtype: string
- name: gene_id
dtype: string
- name: tss_in_seq
dtype: int64
- name: cds_start_in_seq
dtype: int64
- name: cds_end_in_seq
dtype: int64
- name: original_sequence
dtype: string
- name: sequence
dtype: string
splits:
- name: test
num_bytes: 272641634
num_examples: 16451
download_size: 125178388
dataset_size: 272641634
- config_name: syn_human
features:
- name: benchmark_id
dtype: string
- name: script_version
dtype: string
- name: annotation_source
dtype: string
- name: genome_assembly
dtype: string
- name: codon_usage_source
dtype: string
- name: recoding_mode
dtype: string
- name: optimization_rate
dtype: float64
- name: random_seed
dtype: int64
- name: window_size_bp
dtype: int64
- name: species
dtype: string
- name: chr
dtype: string
- name: chrom_length
dtype: int64
- name: strand
dtype: string
- name: cds_genome_start
dtype: int64
- name: cds_genome_end
dtype: int64
- name: window_genome_start
dtype: int64
- name: window_genome_end
dtype: int64
- name: upstream_actual
dtype: int64
- name: downstream_actual
dtype: int64
- name: is_clamped
dtype: int64
- name: transcript_id
dtype: string
- name: gene_id
dtype: string
- name: gene_name
dtype: string
- name: exon_rank
dtype: int64
- name: is_first_exon
dtype: int64
- name: frame
dtype: int64
- name: phase_gtf
dtype: int64
- name: cds_start_in_seq
dtype: int64
- name: cds_end_in_seq
dtype: int64
- name: cds_length
dtype: int64
- name: patch_start_in_seq
dtype: int64
- name: patch_end_in_seq
dtype: int64
- name: patch_length
dtype: int64
- name: n_codons_total
dtype: int64
- name: n_codons_eligible
dtype: int64
- name: n_codons_changed
dtype: int64
- name: fraction_codons_changed
dtype: float64
- name: original_sequence
dtype: string
- name: sequence
dtype: string
splits:
- name: test
num_bytes: 335904126
num_examples: 20000
download_size: 152737063
dataset_size: 335904126
- config_name: syn_mouse
features:
- name: benchmark_id
dtype: string
- name: script_version
dtype: string
- name: annotation_source
dtype: string
- name: genome_assembly
dtype: string
- name: codon_usage_source
dtype: string
- name: recoding_mode
dtype: string
- name: optimization_rate
dtype: float64
- name: random_seed
dtype: int64
- name: window_size_bp
dtype: int64
- name: species
dtype: string
- name: chr
dtype: string
- name: chrom_length
dtype: int64
- name: strand
dtype: string
- name: cds_genome_start
dtype: int64
- name: cds_genome_end
dtype: int64
- name: window_genome_start
dtype: int64
- name: window_genome_end
dtype: int64
- name: upstream_actual
dtype: int64
- name: downstream_actual
dtype: int64
- name: is_clamped
dtype: int64
- name: transcript_id
dtype: string
- name: gene_id
dtype: string
- name: gene_name
dtype: string
- name: exon_rank
dtype: int64
- name: is_first_exon
dtype: int64
- name: frame
dtype: int64
- name: phase_gtf
dtype: int64
- name: cds_start_in_seq
dtype: int64
- name: cds_end_in_seq
dtype: int64
- name: cds_length
dtype: int64
- name: patch_start_in_seq
dtype: int64
- name: patch_end_in_seq
dtype: int64
- name: patch_length
dtype: int64
- name: n_codons_total
dtype: int64
- name: n_codons_eligible
dtype: int64
- name: n_codons_changed
dtype: int64
- name: fraction_codons_changed
dtype: float64
- name: original_sequence
dtype: string
- name: sequence
dtype: string
splits:
- name: test
num_bytes: 336064778
num_examples: 20000
download_size: 152659316
dataset_size: 336064778
Carbon Perturbation Bench
Two sequence-level perturbation tasks for evaluating DNA foundation models:
tata(5,000 rows): the TATA-box motif inside a real promoter is disrupted with random nucleotide substitutions. Probes whether the model has internalised eukaryotic promoter architecture (it should assign higher log-likelihood to the intact promoter than the perturbed one).synonymous_codons(5,000 rows): codons in a real CDS are replaced with synonyms encoding the same amino acid. Probes whether the model has learned codon-usage bias (it should prefer native codon usage over the synonymous variant).
Both subsets share the same schema:
| column | description |
|---|---|
chr, start, end, strand |
hg38 locus |
length |
sequence length in bp |
original_sequence |
the real (unperturbed) sequence — positive |
sequence |
the perturbed sequence — negative control |
Usage
from datasets import load_dataset
tata = load_dataset("hf-carbon/carbon-perturbation-bench", "tata", split="train")
syn = load_dataset("hf-carbon/carbon-perturbation-bench", "synonymous_codons", split="train")
Eval recipe
Pairwise likelihood discrimination: score LL(original_sequence) vs
LL(sequence) under the model, and report mean(LL(real) >= LL(perturbed)).
A ready-to-run scorer for Carbon, GENERator, and Evo2 lives at
evaluation/perturbation_tasks.py
in the Carbon release repo.