Datasets:
Tasks:
Graph Machine Learning
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
ArXiv:
Improve dataset card: Add metadata, paper and code links
#2
by
nielsr
HF Staff
- opened
README.md
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# DemoDiff Downstream Context Data
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This dataset contains context data for the DemoDiff project,
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## Structure
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│ ├── medium.csv
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│ └── negative.csv
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└── ... (other tasks)
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```
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---
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task_categories:
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- graph-ml
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tags:
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- chemistry
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- molecular-design
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- in-context-learning
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- drug-discovery
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language:
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- en
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---
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---
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Paper: [Graph Diffusion Transformers are In-Context Molecular Designers](https://huggingface.co/papers/2510.08744)
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Code: https://github.com/liugangcode/DemoDiff
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---
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# DemoDiff Downstream Context Data
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This dataset contains context data for the DemoDiff project, a diffusion-based molecular foundation model for in-context inverse molecular design. It provides contextual examples to guide molecular generation, enabling few-shot molecular design across diverse chemical tasks without task-specific fine-tuning.
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## Structure
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│ ├── medium.csv
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│ └── negative.csv
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└── ... (other tasks)
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```
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