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license: mit

Summary

This dataset is constructed based on annotations from Ensembl Database. Through a filtration pipeline, genomic element sequences—including 3' UTR, 5' UTR, Exon, and Protein-coding gene—were extracted and integrated. The task aims to evaluate the model's ability to resolve complex, overlapping, and highly sequence-specific features within the genome.

Usage

from datasets import load_dataset
#Download the whole dataset
dataset = load_dataset("BGI-HangzhouAI/Benchmark_Dataset-Genomic_element_classification")
#Download a specific task
task_name = "Human_genomic_element_classification"
dataset = load_dataset(
    "BGI-HangzhouAI/Benchmark_Dataset-Genomic_element_classification",
    data_files = {
        "train": f"{task_name}/train.jsonl",
        "test": f"{task_name}/test.jsonl",
        "eval": f"{task_name}/eval.jsonl",
    }
)

Detailed Information

Task Input fields Train Seqs Validation Seqs Test Seqs Max sequence length
Human_genomic_element_classification {seq, label} 12,000 6,000 6,000 1,024
Mouse_genomic_element_classification {seq, label} 12,000 6,000 6,000 1,024
Multi_species_exon_classification {seq, label} 16,346 7,592 7,593 1,024

Human_genomic_element_classification / Mouse_genomic_element_classification

Genomic element Label
3' UTR 0
5' UTR 1
Exon 2
Protein-coding gene 3

Multi_species_exon_classification

Species Label
Human 0
Worm 1
Chicken 2
Fruit Fly 3
Mouse 4
Zebrafish 5

Final format

Datasets are saved in JSONL format. Each file contains:

  • "seq" — the DNA sequence string (A/C/G/T, uppercase)
  • "label" — multi class indicator