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README.md
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---
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annotations_creators:
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- machine-generated
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language:
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- en
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license:
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- other
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multilinguality:
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- monolingual
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size_categories:
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- 10K<n<100K
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task_categories:
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- image-to-text
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- visual-question-answering
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task_ids:
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- visual-question-answering
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---
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# RobustRDP-ProcessedValData
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Processed validation/evaluation data for the paper: *RobustRDP: Advancing Reaction Diagram Parsing via Synthetic-to-Real Data Scaling and Robustness-Oriented Training*.
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## Dataset Structure
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```
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RobustRDP_test/
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├── dev_downsampled_rxn.json # Validation entries
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└── images_eval_resized.zip # Zipped evaluation images (500 images)
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```
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## Data Details
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| Split | Entries | Images | Description |
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|-------|---------|--------|-------------|
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| **RobustRDP_test** | ~1,851 | 500 | Evaluation set covering multiple reaction diagram parsing variants |
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## Data Format
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Each entry follows the conversational format:
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```json
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{
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"messages": [
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{"content": "<image>\n...", "role": "user"},
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{"content": "<rxn><rct>...<mol><cnd>...<txt><prd>...<mol>", "role": "assistant"}
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],
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"images": ["path/to/image.png"]
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}
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```
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Annotations use special tokens:
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- `<rxn>`: Start of a reaction
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- `<rct>`: Reactants section
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- `<cnd>`: Conditions section
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- `<prd>`: Products section
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- `<mol>`: Molecule entity
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- `<txt>`: Text entity
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## Data Generation
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Evaluation data built from [RxnLabelData](https://huggingface.co/datasets/Jingcz/RxnLabelData), downsampled and processed for model evaluation on reaction diagram parsing tasks.
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## Related Resources
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- **Model**: [RobustRDP](https://huggingface.co/Jingcz/RobustRDP)
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- **Training Data**: [RobustRDP-ProcessedTrainData](https://huggingface.co/datasets/Jingcz/RobustRDP-ProcessedTrainData)
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- **Code**: [RobustRDP GitHub](https://github.com/jaydetang/RobustRDP)
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- **Annotation Platform**: [RxnLabel](https://github.com/jaydetang/RxnLabel)
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