Datasets:
Modalities:
Image
Formats:
imagefolder
Sub-tasks:
visual-question-answering
Languages:
English
Size:
1K - 10K
License:
metadata
annotations_creators:
- expert-generated
- machine-generated
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
task_categories:
- image-to-text
- visual-question-answering
task_ids:
- visual-question-answering
RobustRDP-RawValData
Raw validation/evaluation data for the paper: RobustRDP: Advancing Reaction Diagram Parsing via Synthetic-to-Real Data Scaling and Robustness-Oriented Training.
Dataset Structure
raw_val_data/
├── RobustRDP_test.zip # RobustRDP evaluation set (images + labels)
│ ├── images_eval/ # 500 evaluation images
│ └── labels_eval/ # 500 label JSON files
└── RxnScribe_test.zip # RxnScribe evaluation set (images + dev.json)
├── dev.json # 138 evaluation entries
└── images_eval/ # 1,379 evaluation images
Data Details
| Split | Entries | Images | Description |
|---|---|---|---|
| RobustRDP_test | 500 | 500 | Evaluation set annotated via RxnLabel platform |
| RxnScribe_test | 138 | 1,379 | Evaluation set from the RxnScribe dataset |
Data Format
RobustRDP_test
Contains both images and labels in conversational format:
{
"messages": [
{"content": "<image>\n...", "role": "user"},
{"content": "<rxn><rct>...<mol><cnd>...<txt><prd>...<mol>", "role": "assistant"}
],
"images": ["path/to/image.png"]
}
RxnScribe_test
Contains evaluation images from chemistry literature publications.
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
- RobustRDP_test: Manually annotated using RxnLabel, a web-based reaction diagram annotation platform.
- RxnScribe_test: Sourced from the RxnScribe dataset of reaction diagrams from chemistry publications.
Related Resources
- Model: RobustRDP
- Processed Data: RobustRDP-ProcessedValData
- Code: RobustRDP GitHub
- Annotation Platform: RxnLabel