Three Shadow Pagoda: TikTok Comments and 3D Reconstruction Algorithm Comparisons

A study dataset investigates digital 3D reconstruction of built heritage through media-driven cultural perception. It includes 2,942 public TikTok comments and comparisons of five image-to-3D algorithms using a multi-metric framework. The dataset was authored by Weihui Zhang and last updated in April 2026.

Use Cases

• Analyze public sentiment and cognition of cultural heritage based on 2,942 TikTok comments.
• Benchmark image-to-3D reconstruction algorithms based on a multi-metric framework.
• Study the relationship between morphological performance and media-driven perception in digital heritage.
• Train or validate models for cultural perception analysis from social media text.

Strengths

• Includes 2,942 social media comments for public perception analysis.
• Compares five different image-to-3D reconstruction algorithms.
• Uses a multi-metric framework for evaluation.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown.
• The dataset size is 31.6 MB, which is relatively small for some ML tasks.
• Data may reflect geographic or platform bias inherent to the TikTok source.

Provenance

Source

figshare, authored by Weihui Zhang.

Collection Method

Data mined from TikTok comments and generated from image-to-3D algorithm comparisons.

Freshness

Last updated 2026-04-19 11:24:22.

Geography

Likely focuses on the Three Shadow Pagoda, a specific built heritage site.