metadata
language:
- en
license: cc-by-4.0
task_categories:
- text-generation
- token-classification
- question-answering
tags:
- biology
- kluyveromyces-marxianus
- yeast
- pathways
- interactions
- structures
size_categories:
- 10K<n<100K
𧬠Kluyveromyces marxianus Cell 2 Dataset v10.0.0
Overview
CELL 2 expansion for Kluyveromyces marxianus - pathways, interactions, structures, repository.
Statistics
| Metric | Value |
|---|---|
| Total Collected | 1,091 |
| Total Local Saved | 1,091 |
| Version | v10.0.0 |
| Date | 2025-11-11 |
Data Categories
- KEGG Pathways: 591 records (local: 591)
- UniProt Repository: 500 records (local: 500)
Cell 0 Integration
km_dataset/
βββ pathway/ # KEGG pathways
βββ interaction/ # STRING interactions
βββ structure/ # PDB structures
βββ repository/ # UniProt entries
βββ checkpoints/cell2_quantum/
HuggingFace (Cell 2)
cell2_pathways- KEGG pathwayscell2_interactions- STRING interactionscell2_structures- PDB structurescell2_repository- UniProt entriescell2_splits- Train/val/test splits
Usage
Load All Cell 2
from datasets import load_dataset, concatenate_datasets
all_data = []
for phase in ['cell2_pathways', 'cell2_interactions', 'cell2_structures', 'cell2_repository']:
try:
ds = load_dataset("Milad96/Kluyveromyces-marxianus", split='train', data_dir=phase)
all_data.append(ds)
except:
pass
combined = concatenate_datasets(all_data)
Load Specific
pathways = load_dataset("Milad96/Kluyveromyces-marxianus", split='train', data_dir='cell2_pathways')
interactions = load_dataset("Milad96/Kluyveromyces-marxianus", split='train', data_dir='cell2_interactions')
Load Splits
dataset = load_dataset("Milad96/Kluyveromyces-marxianus", data_dir='cell2_splits')
train = dataset['train']
val = dataset.get('validation')
test = dataset.get('test')
Citation
@dataset{km_cell2_v10_0_0,
title={Kluyveromyces marxianus Cell 2 Dataset},
version={v10.0.0},
year={2025},
url={https://huggingface.co/datasets/Milad96/Kluyveromyces-marxianus}
}
Status: β Production Quality: π Quantum Grade Pipeline: Async v10.0 Compatibility: Cell 0 β | Cell 1 β | Cell 2 β