Table 2_Ontology-based dietary recommendation system for Chinese children and adolescents:

Zhiyu Zhang developed an ontology-based dietary recommendation system for Chinese children and adolescents. The dataset includes results from a pilot validation study comparing system-recommended meals to actual school lunches and self-selected diets over 30-day periods. The system was last updated on 2026-05-22 and is shared under a CC-BY-4.0 license.

Use Cases

• Benchmarking dietary recommendation algorithms based on the described Chinese Children Dietary Index (CCDI) scores.
• Studying food-group diversity and nutrient adequacy in meal plans for children and adolescents.
• Developing ontology-driven knowledge bases for dietary guidelines and expert systems.

Strengths

• Includes results from a 30-day group-level experiment and a 30-day individual-level experiment with 30 students.
• System-recommended meals achieved significantly higher CCDI scores (e.g., 117.39 vs. 103.41 in group experiment).
• Pilot validation demonstrates improvements in vegetables, fruits, and aquatic product intake.

Limitations

• Dataset is a 670.5 KB DOCX file, which is a small document likely containing study results rather than raw data tables.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for machine learning.

Provenance

Source

Zhiyu Zhang via figshare.

Collection Method

Constructed from dietary guidelines, expert knowledge, and food/meal data; evaluated using school lunch data and student dietary records.

Freshness

Last updated 2026-05-22 06:10:21; freshness should be verified.

Geography

China