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README_CELL3.md

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+# 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