Sign in to view source links and access this dataset
Description
A multimodal dataset for visual question answering in additive manufacturing, focusing on quality assessment of Ti10Mo6Cu alloy parts produced via Laser Powder Bed Fusion. The dataset was created by AI4Manufacturing and was last updated on July 16, 2026. Each row contains fields for a query, an image, an annotation, reasoning, category, task, and metadata.
Use Cases
Train visual question answering models based on the query and image fields.
Analyze manufacturing process conditions based on the metadata and image fields.
Study reasoning patterns for quality assessment based on the reasoning and annot fields.
Classify visual defects or quality categories based on the cate and image fields.
Strengths
Dataset structure is explicitly described with seven fields per row, including query, image, and reasoning.
Images are stored in a Hugging Face-compatible format, suggesting integration ease.
Data splits are organized by manufacturing process conditions (power/speed).
Limitations
The number of rows, columns, and file size are unknown, limiting suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
License information is unknown, which may restrict usage.
Provenance
Source
huggingface
Collection Method
Data appears to be derived from a source spreadsheet supplying measured condition-level averages for Laser Powder Bed Fusion (LPBF) processes.
Freshness
Last updated 2026-07-16 07:30:51
License is unknown; users must verify permissions before use.