---
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

```python
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.