Datasets:

konsman
/

quantum-physics-0.6

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quantum-physics-0.6

Dataset Description

This is a domain-specific corpus created using ontology-guided filtering from FineWeb-Edu.

Dataset Creation

Source: HuggingFaceFW/fineweb-edu
Filtering Method: Semantic similarity to subdomain centroids (embedding-based)
Pipeline: Ontology-Guided Domain Corpus Builder

Dataset Structure

Each chunk contains:

text: The text content (256-512 tokens)
subdomain_id: Assigned subdomain
similarity_score: Cosine similarity to subdomain centroid
token_count: Number of tokens
source_dataset: Original dataset name
source_id: Original document ID
chunk_index: Position within source document

Usage

from datasets import load_dataset

dataset = load_dataset("konsman/quantum-physics-0.6")

# Access filtered chunks
for chunk in dataset['train']:
    print(chunk['text'])
    print(chunk['subdomain_id'])
    print(chunk['similarity_score'])

License

MIT License

Citation

Generated using the Ontology-Guided Domain Corpus Builder pipeline.