Vokturz created a dataset containing 1,118 screenshots from SourceForge software projects. The images are paired with metadata and text extracted via the qwen/qwen3-vl-235b-a22b-instruct model. The dataset was last updated on November 8, 2025, and is intended for fine-tuning smaller Qwen3-VL models.
Use Cases
- Fine-tuning vision-language models for OCR based on the provided screenshot-text pairs.
- Training models to extract text from software application interfaces.
- Analyzing software trends or features based on the visual content of SourceForge project screenshots.
- Benchmarking OCR performance on diverse, real-world application screenshots.
Strengths
- Contains 1,118 distinct software screenshots, providing a substantive collection.
- Includes OCR-generated text for each image, creating a paired dataset.
- Features metadata such as a unique project slug for each application.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect source bias inherent to the specific 1,118 SourceForge projects sampled.
Provenance
- Source
- Based on Vokturz/sourceforge-app-screenshots dataset from Hugging Face.
- Collection Method
- Screenshots collected from SourceForge, with OCR generated by the qwen/qwen3-vl-235b-a22b-instruct model.
- Time Range
- null
- Freshness
- Last updated 2025-11-08 02:16:06; freshness should be verified.
- Geography
- null