---
license: apache-2.0
task_categories:
  - text-classification
  - token-classification
language:
  - en
tags:
  - genomics
  - bioinformatics
  - kluyveromyces-marxianus
  - biobert
  - functional-genomics
  - yeast
size_categories:
  - 10K<n<100K
---

# 🧬 Kluyveromyces marxianus - BioBERT-Optimized Chunks

**PhD Research Dataset**: Functional Genomics of Robust Linear Yeasts

## Overview

Semantically-optimized 512-token chunks for BioBERT fine-tuning, processed with BiOMistral-7B.

## Dataset Info

- **Processing Date**: 2025-11-01
- **Target Model**: BioBERT-Large v1.1
- **Chunk Size**: 512 tokens (optimal)
- **Source**: [Milad96/Kluyveromyces-marxianus](https://huggingface.co/datasets/Milad96/Kluyveromyces-marxianus)

## Features

- Deep semantic coherence analysis
- Automatic genomic entity extraction
- Quality scoring and filtering
- BioBERT-ready format

## Usage

```python
from datasets import load_dataset
import json

# Load high-quality chunks
with open('chunks_high_quality.json', 'r') as f:
    chunks = json.load(f)

# Each chunk has:
# - text: optimized content
# - token_count: ~512
# - semantic_coherence: 0-1
# - quality_score: 0-1
# - entities: {genes, proteins, pathways}
```

## Citation

```bibtex
@dataset{kmx_chunks_2024,
  author = {Milad96},
  title = {Kluyveromyces marxianus BioBERT Chunks},
  year = {2024},
  publisher = {HuggingFace},
  url = {https://huggingface.co/datasets/Milad96/Kluyveromyces-marxianus-chunks}
}
```

## License

Apache 2.0