Datasets:
metadata
annotations_creators:
- machine-generated
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
task_categories:
- image-to-text
- visual-question-answering
task_ids:
- visual-question-answering
RobustRDP-ProcessedValData
Processed validation/evaluation data for the paper: RobustRDP: Advancing Reaction Diagram Parsing via Synthetic-to-Real Data Scaling and Robustness-Oriented Training.
Dataset Structure
RobustRDP_test/
├── dev_downsampled_rxn.json # Validation entries
└── images_eval_resized.zip # Zipped evaluation images (500 images)
RxnScribe_test/
├── dev_downsampled_rxn.json # Validation entries
└── images_eval_resized.zip # Zipped evaluation images (1,379 images)
Data Details
| Split | Entries | Images | Description |
|---|---|---|---|
| RobustRDP_test | 500 | 500 | RobustRDP evaluation set covering multiple reaction diagram parsing variants |
| RxnScribe_test | 138 | 1,379 | RxnScribe evaluation set for reaction diagram parsing benchmark |
Data Format
Each entry follows the conversational format:
{
"messages": [
{"content": "<image>\n...", "role": "user"},
{"content": "<rxn><rct>...<mol><cnd>...<txt><prd>...<mol>", "role": "assistant"}
],
"images": ["path/to/image.png"]
}
Annotations use special tokens:
<rxn>: Start of a reaction<rct>: Reactants section<cnd>: Conditions section<prd>: Products section<mol>: Molecule entity<txt>: Text entity
Data Generation
Evaluation data built from RxnLabelData, downsampled and processed for model evaluation on reaction diagram parsing tasks.
Related Resources
- Model: RobustRDP
- Raw Data: RobustRDP-RawValData
- Code: RobustRDP GitHub
- Annotation Platform: RxnLabel