Sora100K: A Large-Scale Multimodal Video Dataset for AI Research

Sora100K is a large-scale multimodal video dataset submitted for the ACM MM 2026 Dataset Track. The dataset was created by ysicong and its record was last updated on April 9, 2026. Its specific size, structure, and content are detailed on its dedicated Hugging Face page.

Use Cases

• Training and evaluating video generation models based on the dataset's multimodal video content.
• Researching the properties and limitations of AI-generated video content based on the dataset's scale and structure.
• Developing benchmarks for multimodal AI systems based on the dataset's submission to a major conference track.

Strengths

• Dataset is associated with a submission to the ACM Multimedia 2026 Dataset Track, suggesting a research-oriented curation.
• The record was updated on 2026-04-09, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality, size, and structure require manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Likely curated or generated for research purposes, as indicated by its association with an ACM MM submission.

Time Range

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Freshness

Last updated 2026-04-09 09:12:37.

Geography

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