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Protein Secondary Structure Prediction Dataset (NPPE2)
Dataset Description
This dataset contains protein sequences with their corresponding secondary structure labels for both Q8 (8-class) and Q3 (3-class) classification tasks.
Dataset Statistics
| Split | Sequences |
|---|---|
| Train | 7262 |
| Test | 1816 |
Features
- id: Unique identifier for each protein sequence
- seq: Amino acid sequence (20 standard amino acids)
- sst8: 8-class secondary structure labels (Q8)
- sst3: 3-class secondary structure labels (Q3)
Secondary Structure Labels
Q8 Labels (DSSP):
- H = Alpha helix
- E = Beta strand
- C = Coil/Loop
- G = 3-10 helix
- B = Beta bridge
- T = Turn
- S = Bend
- I = Pi helix
Q3 Labels:
- H = Helix (H, G, I)
- E = Strand (E, B)
- C = Coil (C, T, S)
Usage
`python from datasets import load_dataset
dataset = load_dataset("neuralninja110/dlgenai-nppe-dataset") `
Files
- train.csv: Training data with sequences and labels
- test.csv: Test data (sequences only)
- sample_submission.csv: Submission format template
- data/train.parquet: Training data in parquet format
Evaluation Metric
Harmonic mean of F1 scores for Q8 and Q3 predictions.
License
MIT License
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