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Add dataset card and paper/code links

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This PR improves the dataset card for SupraBench. It adds:
- Relevant metadata (license and task categories).
- Links to the research paper and the official GitHub repository.
- A summary of the fundamental tasks included in the benchmark.
- Sample usage instructions for running evaluations using the provided source code.
- The BibTeX citation for the paper.

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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-text-to-text
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+ ---
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+
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+ # SupraBench: A Benchmark for Supramolecular Chemistry
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+
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+ **SupraBench** is the first benchmark for evaluating large language models on **supramolecular host–guest chemistry** reasoning. It comprises four fundamental tasks plus an auxiliary vision task, and provides a domain text corpus (SupraPMC) for domain-adaptive pretraining (DAPT).
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+
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+ - 📄 **Paper:** [SupraBench: A Benchmark for Supramolecular Chemistry](https://huggingface.co/papers/2606.13477)
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+ - 💻 **Code:** [GitHub Repository](https://github.com/Tianyi-Billy-Ma/SupraBench)
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+
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+ ## Tasks & Datasets
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+
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+ | Dataset | Task | Description |
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+ |---|---|---|
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+ | `bap` | Binding Affinity Prediction | Regress log $K_a$ for a host–guest pair |
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+ | `tbs` | Top-Binder Selection | Pick the strongest binder among 4 candidate guests |
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+ | `sid` | Solvent Identification | 6-way solvent classification from structure |
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+ | `hgd` | Host-Guest Description | Open-ended QA on host/guest property profiles |
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+ | `vqa` | Molecular Identification | Auxiliary vision task: identify a molecule from its image |
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+ | `EU-PMC` | Text corpus | ~16M-token supramolecular corpus for DAPT |
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+ | `Binding-Affinity` | Comprehensive anchor | Per-record binding data + host/guest SMILES, 2D, 3D, environment |
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+
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+ ## Sample Usage
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+
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+ The benchmark uses [uv](https://docs.astral.sh/uv/) for dependency management. You can run a task against a model using the following command found in the repository:
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+
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+ ```bash
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+ uv run python src/main.py \
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+ --task-config configs/tasks/bap_base.yaml \
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+ --model-config configs/models/openrouter_qwen35_27b.yaml \
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+ --output-dir outputs/
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+ ```
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{ma2026suprabench,
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+ title = {SupraBench: A Benchmark for Supramolecular Host--Guest Chemistry Reasoning in Large Language Models},
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+ author = {Ma, Tianyi and Ma, Yijun and Wang, Zehong and Sun, Weixiang and Li, Ziming and Schmidt, Connor R. and Zhang, Chuxu and Webber, Matthew J. and Ye, Yanfang},
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+ year = {2026},
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+ note = {arXiv preprint, link coming soon}
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+ }
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+ ```