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