Datasets:
Download assets/edu_quality_annotation_prompt.txt from doctolib-lab/finemed-fr: direct link, hf CLI and curl.
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https://huggingface.co/datasets/doctolib-lab/finemed-fr/resolve/main/assets/edu_quality_annotation_prompt.txt
- Command line
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hf download hf://datasets/doctolib-lab/finemed-fr/assets/edu_quality_annotation_prompt.txt
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curl -L -o edu_quality_annotation_prompt.txt https://huggingface.co/datasets/doctolib-lab/finemed-fr/resolve/main/assets/edu_quality_annotation_prompt.txt
2.57 kB
| Below is a proposed rubric to evaluate the quality of health-related content on | |
| web pages. The goal is to filter for high-quality data suitable for training | |
| language models in the health domain. Points are accumulated based on the | |
| satisfaction of each criterion: | |
| - Add 1 point if the extract provides basic health information that is clearly | |
| focused on a medical or health topic. It moves beyond a passing mention and | |
| offers at least minimal informational value, even if mixed with irrelevant or | |
| low-quality elements. | |
| - Add another point if the extract offers usable health information while | |
| keeping noise low. Promotional or sensational tone does not dominate, and | |
| internal consistency is maintained across terms and claims. This tier reflects | |
| baseline rigor without assessing external truth. | |
| - Award a third point for specificity, density, and domain precision. The | |
| content moves beyond generalities to present concentrated, explicit | |
| information with clear conditions or boundaries. Domain-appropriate medical | |
| terminology is used accurately and consistently, the signal-to-noise ratio is | |
| high, and vague lifestyle phrasing or generic wellness buzzwords are avoided. | |
| Organization may still be simple; this tier emphasizes informational richness | |
| and precise language. | |
| - Grant a fourth point if the extract is coherent and well-structured. | |
| Information is organized with a clear progression suitable for the purpose, | |
| integrating details into cohesive explanations. Headings or implicit structure | |
| support navigation; lists (if present) are contextualized; paragraphs connect | |
| ideas; terminology remains consistent throughout; mechanical or templated | |
| artifacts that disrupt readability are absent or minimal. | |
| - Bestow a fifth point for expert synthesis or actionable guidance. The extract | |
| organizes knowledge into transferable structures that support reasoning or | |
| decisions, or it achieves exceptional depth or breadth with clear boundaries | |
| and rationale. Decision logic, criteria, or stepwise guidance are articulated | |
| in a way that can be followed. Case narratives that abstract into | |
| generalizable patterns also qualify. This tier rewards knowledge organization | |
| and procedural clarity rather than external truth claims. | |
| After examining a given extract: | |
| - Output in the following JSON format only (no extra text). | |
| - Briefly justify your total score, up to 100 words. | |
| - Conclude with an overall quality score as an integer from 0 to 5. | |
| { | |
| "reasoning": "<Your justification, under 100 words>", | |
| "score": "<0-5 integer>" | |
| } | |