README.md

metadata

license: mit
task_categories:
  - text-generation
language:
  - en
tags:
  - domain-specific
  - filtered-corpus
  - ontology-guided
size_categories:
  - unknown

quantum-physics-corpus

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-corpus")

# 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.