Create README.md
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README.md
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---
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license: mit
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---
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## Summary
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This dataset is constructed based on high-precision annotations from **Ensembl** Database.
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Through a filtration pipeline, genomic element sequences—including **3' UTR, 5' UTR, Exon, and Protein-coding gene**—were extracted and integrated.
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The task aims to evaluate the model's ability to resolve complex, overlapping, and highly sequence-specific features within the genome.
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## Usage
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```python
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from datasets import load_dataset
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#Download the whole dataset
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dataset = load_dataset("BGI-HangzhouAI/Benchmark_Dataset-Genomic_element_classification")
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#Download a specific task
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task_name = "Human_genomic_element_classification"
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dataset = load_dataset(
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"BGI-HangzhouAI/Benchmark_Dataset-Genomic_element_classification",
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data_files = {
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"train": f"{task_name}/train.jsonl",
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"test": f"{task_name}/test.jsonl",
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"eval": f"{task_name}/eval.jsonl",
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}
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)
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```
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## Detailed Information
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| Task | Input fields | Train Seqs| Validation Seqs| Test Seqs |Max sequence length|
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|:-------------:|:------------------:|:---------------:|:-------------------:|:--------------:|:----:|
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| Human_genomic_element_classification |{seq, label} | 12,000 | 6,000 | 6,000 |1,024|
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| Mouse_genomic_element_classification |{seq, label} | 12,000 | 6,000 | 6,000 |1,024|
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| Multi_species_exon_classification |{seq, label} | 16,346 | 7,592 | 7,593 |1,024|
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### Human_genomic_element_classification / Mouse_genomic_element_classification
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| Genomic element | Label |
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|:---------:|:-----------:|
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|3' UTR|0|
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|5' UTR|1|
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|Exon|2|
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|Protein-coding gene|3|
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### Multi_species_exon_classification
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| Species | Label |
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|:---------:|:-----------:|
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|Human|0|
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|Worm|1|
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|Chicken|2|
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|Fruit Fly|3|
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|Mouse|4|
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|Zebrafish|5|
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## Final format
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Datasets are saved in JSONL format. Each file contains:
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- `"seq"` — the DNA sequence string (A/C/G/T, uppercase)
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- `"label"` — multi class indicator
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