README_CELL3.md

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

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

# 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

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