PosterText-30K / code /postereval /MANIFEST.md
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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.