BED: Blind 3D Dataset for Vision-Language Models

A dataset for Vision-Language Models (VLMs) focused on the Blind 3D (B3D) task. The dataset was created by VietMedTeam, with main authors Nguyen Kim Hai Bui and An Ngo Xuan, and was last updated on April 1, 2026.

Use Cases

• Benchmarking Vision-Language Models on 3D scene understanding tasks based on the 'Blind 3D' concept.
• Training models for multimodal reasoning based on the dataset's likely combination of image and text modalities.
• Evaluating model performance on a specialized multimodal benchmark as suggested by the platform tags.

Strengths

• Dataset is specifically designed for a defined research area: Blind 3D (B3D) tasks for Vision-Language Models.
• The dataset was last updated on April 1, 2026, suggesting recent maintenance.

Limitations

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

Provenance

Source

VietMedTeam, uploaded to Hugging Face.

Collection Method

Method of data gathering is not described.

Time Range

Temporal coverage is not specified.

Freshness

Last updated 2026-04-01 10:45:37

Geography

Spatial coverage is not specified.