| _version_ | 1866901140554121216 |
|---|---|
| author | Bouh, Mohamed Mehfoud |
| author_facet | Bouh, Mohamed Mehfoud |
| contents | <p>This dataset contains the complete standardized prompt used to instruct vision–language models (VLMs) such as Qwen 2.5, Gemini 2.5 Pro, and GPT-5 in the extraction of structured information from scanned hematology and hemogram laboratory reports. The prompt defines strict schema conformity rules, type guards, and validation constraints to ensure consistency between model outputs. It specifies detailed formatting, normalization, and data-handling instructions for all fields, including numeric values, units, reference ranges, and report metadata.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17338573 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Full Standardized Prompt for Vision–Language Model Data Extraction (hema_v6) Bouh, Mohamed Mehfoud <p>This dataset contains the complete standardized prompt used to instruct vision–language models (VLMs) such as Qwen 2.5, Gemini 2.5 Pro, and GPT-5 in the extraction of structured information from scanned hematology and hemogram laboratory reports. The prompt defines strict schema conformity rules, type guards, and validation constraints to ensure consistency between model outputs. It specifies detailed formatting, normalization, and data-handling instructions for all fields, including numeric values, units, reference ranges, and report metadata.</p> |
| title | Full Standardized Prompt for Vision–Language Model Data Extraction (hema_v6) |
| url | https://doi.org/10.5281/zenodo.17338573 |