| # VASEVQA Dataset | |
| A Visual Question Answering dataset for ancient vase analysis and description. | |
| ## Dataset Overview | |
| - **Total Images**: 31,773 vase images | |
| - **Format**: Conversational QA pairs in LLaVA format | |
| - **Domain**: Ancient Greek/Roman pottery and vases | |
| ## Data Structure | |
| ### Single-view Dataset | |
| - **Training**: `data_train_single_llava_vasevl_v9.json` (9,354 samples) | |
| - **Testing**: `data_test_single_llava_vasevl_v9.json` (2,339 samples) | |
| - Format: One image per conversation | |
| ### Multi-view Dataset | |
| - **Training**: `data_train_multi_llava_vasevl_v6_fixed.json` (25,544 samples) | |
| - **Testing**: `data_test_multi_llava_vasevl_v6_fixed.json` (6,229 samples) | |
| - Format: Multiple images per conversation with proper `<image>` tokens | |
| ## Question Types | |
| Each vase is annotated with questions about: | |
| - Fabric (e.g., ATHENIAN) | |
| - Technique (e.g., BLACK-FIGURE, RED-FIGURE) | |
| - Shape name (e.g., LEKYTHOS, MASTOID) | |
| - Provenance/origin | |
| - Dating information | |
| - Attribution details | |
| - Decorative descriptions | |
| - Overall comprehensive information | |
| ## JSON Format | |
| ```json | |
| { | |
| "id": "sample_id", | |
| "images": "images/filename.jpg" | ["image1.jpg", "image2.jpg"], | |
| "conversations": [ | |
| { | |
| "from": "human", | |
| "value": "<image>\nWhat is the fabric of the vase?" | |
| }, | |
| { | |
| "from": "gpt", | |
| "value": "The fabric of the vase is ATHENIAN." | |
| } | |
| ] | |
| } | |
| ``` | |
| ## Files | |
| - `images/`: Directory containing 31,773 vase images | |
| - `descriptions.csv`: Original metadata source | |
| - `fix_multi_data.py`: Script for adding image tokens to multi-view data | |