Datasets:
quantum-physics-corpus-rebel-ready
Dataset Description
Quality-filtered corpus using classifier-based filtering (Phase 6/7 standard).
Filtering Criteria
Standard thresholds (Phase 6/7):
domain_relevance >= 2("Clearly about quantum physics")technical_depth >= 2("Advanced undergraduate/graduate level")
Dataset Structure
Each chunk contains:
text: The text contentdomain_relevance: Quality score (0-3)technical_depth: Quality score (0-3)structure_quality: Quality score (0-3)adu_types: Detected ADU types (list)adu_probs: ADU probabilities (dict)passes_quality_filter: True (all chunks passed)
Usage
from datasets import load_dataset
dataset = load_dataset("konsman/quantum-physics-corpus-rebel-ready")
for chunk in dataset['train']:
print(f"Text: {chunk['text'][:100]}...")
print(f"Quality: domain={chunk['domain_relevance']}, tech={chunk['technical_depth']}")
print(f"ADU Types: {chunk['adu_types']}")
License
MIT License
Citation
Generated using Phase A quality filtering pipeline.
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