# Cell 3: Quantum Literature Extension

## Overview
Literature, preprints, and datasets for *Kluyveromyces marxianus*.

## Statistics
- **Version**: v10.0.0
- **Total Records**: 0
- **Last Updated**: 2025-11-10

## Sources

## Categories

## Data Access

### Load Splits
```python
from datasets import load_dataset

# Load Cell 3 splits
dataset = load_dataset("Milad96/Kluyveromyces-marxianus", data_dir="cell3_splits")
train = dataset['train']
val = dataset['validation']
test = dataset['test']
```

### Load Individual Sources
```python
# Europe PMC
europepmc = load_dataset("Milad96/Kluyveromyces-marxianus", split="train", data_dir="cell3_europepmc")

# Semantic Scholar
semantic = load_dataset("Milad96/Kluyveromyces-marxianus", split="train", data_dir="cell3_semantic")

# BioRxiv
biorxiv = load_dataset("Milad96/Kluyveromyces-marxianus", split="train", data_dir="cell3_biorxiv")

# Zenodo
zenodo = load_dataset("Milad96/Kluyveromyces-marxianus", split="train", data_dir="cell3_zenodo")
```

### Filter by Category
```python
train_data = dataset['train']
literature = train_data.filter(lambda x: x['category'] == 'literature')
preprints = train_data.filter(lambda x: x['category'] == 'preprint')
datasets = train_data.filter(lambda x: x['category'] == 'dataset')
```

## Schema
All records follow the unified schema with fields:
- `id`, `source`, `category`
- `title`, `abstract`, `full_text`
- `pmid`, `doi`, `authors`, `journal`, `year`
- `gene_id`, `gene_name`, `protein_id`, etc.

## Integration
- ✅ Compatible with Cell 0 directory structure
- ✅ Compatible with Cell 1/2 data
- ✅ Proper data_dir usage (no overwrites)
- ✅ Local files saved in `km_dataset/literature/` and `km_dataset/repository/`

## Citation
If using this data, please cite the original sources and this dataset.

**Version**: v10.0.0
**Cell**: 3/5
**Status**: ✅ Production Ready