Create README.md

README.md

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+---
+license: mit
+language:
+  - en
+task_categories:
+  - feature-extraction
+  - text-classification
+tags:
+  - embeddings
+  - qwen3
+  - topic-modeling
+  - social-science
+  - simcse
+  - contrastive-learning
+  - numpy
+pretty_name: THETA Embeddings
+
+---
+
+# THETA-embeddings
+
+Pre-computed embeddings generated by [THETA](https://huggingface.co/CodeSoulco/THETA), a domain-specific embedding model fine-tuned on Qwen3-Embedding for sociology and social science texts.
+
+## Description
+
+This dataset contains dense vector embeddings produced under three settings:
+
+- **zero_shot:** Embeddings from the base Qwen3-Embedding model without fine-tuning
+- **supervised:** Embeddings from the LoRA-adapted model trained with label-guided contrastive learning
+- **unsupervised:** Embeddings from the LoRA-adapted model trained with SimCSE
+
+## Repository Structure
+
+```
+CodeSoulco/THETA-embeddings/
+├── 0.6B/
+│   ├── zero_shot/
+│   ├── supervised/
+│   └── unsupervised/
+└── 4B/
+    ├── zero_shot/
+    ├── supervised/
+    └── unsupervised/
+```
+
+## Embedding Details
+
+| Model | Dimension | Format |
+|---|---|---|
+| Qwen3-Embedding-0.6B | 896 | `.npy` |
+| Qwen3-Embedding-4B | 2560 | `.npy` |
+
+**Source Datasets:** germanCoal, FCPB, socialTwitter, hatespeech, mental_health
+
+## How to Use
+
+```python
+import numpy as np
+
+# Load pre-computed embeddings
+embeddings = np.load("0.6B/zero_shot/germanCoal_zero_shot_embeddings.npy")
+print(embeddings.shape)  # (num_samples, 896)
+```
+
+Or download via `huggingface_hub`:
+
+```python
+from huggingface_hub import hf_hub_download
+import numpy as np
+
+path = hf_hub_download(
+    repo_id="CodeSoulco/THETA-embeddings",
+    filename="0.6B/supervised/socialTwitter_supervised_embeddings.npy",
+    repo_type="dataset"
+)
+embeddings = np.load(path)
+```
+
+## Related
+
+- **Model (LoRA weights):** [CodeSoulco/THETA](https://huggingface.co/CodeSoulco/THETA)
+
+## License
+
+This dataset is released under the **MIT License**.
+
+## Citation
+
+```bibtex
+@misc{theta2026,
+  title={THETA: Textual Hybrid Embedding--based Topic Analysis},
+  author={CodeSoul},
+  year={2026},
+  publisher={Hugging Face},
+  url={https://huggingface.co/CodeSoulco/THETA}
+}
+```