Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
Tags:
academic-poster-generation
instruction-tuning
text-generation
document-understanding
poster-generation
License:
| # Release Manifest | |
| This is the public evaluation-code entry for PosterEval-style poster metrics. | |
| ## Included | |
| - `evaluate_structural_pptx.py`: PPTX evaluator for `Ove`, `Ali`, and `Ofl`. | |
| - `prepare_pptx_autofit.py`: optional helper for materializing PPTX text-frame | |
| autofit geometry before structural evaluation. | |
| - `prepare_ir.py`: VLM-based IR generation from poster images. | |
| - `evaluate_semantic_ir.py`: evaluator for `Order`, `Completeness`, `LTA`, and | |
| `Claim F1`. | |
| - `openrouter_client.py`: OpenAI-compatible OpenRouter JSON client. | |
| - `qwen3_vl_embedding.py`: lightweight local wrapper used by `LTA`. | |
| - `download_qwen3_vl_embedding.py`: helper for downloading | |
| `Qwen/Qwen3-VL-Embedding-2B` into `models/modelscope/`. | |
| - `prompts/`: public prompts for content IR, figure IR, and claim-pair scoring. | |
| - `configs/semantic_ir.example.json`: generic placeholder config for content | |
| metrics. | |
| - `requirements.txt`: base Python dependency list. | |
| ## Excluded | |
| - Raw paper PDFs, poster PPTX files, rendered poster images, and datasets. | |
| - API keys, private environment files, local workspace paths, and runtime | |
| artifacts. | |
| - Paper-specific result tables or internal run outputs. | |