Datasets:

MoreGeometrico
/

lpbf-defect-vqa

language:
  - en
tags:
  - computer-vision
  - visual-question-answering
  - object-detection
  - manufacturing
  - defect-detection
task_categories:
  - visual-question-answering
configs:
  - config_name: OT
    data_files: data/OT/*.parquet
  - config_name: PB
    data_files: data/PB/*.parquet

LPBF defect-detection VQA

VQA-formatted version of the provided laser powder bed fusion defect dataset. The OT and PB configurations are independent and should be treated as two separate data sources.

Record format

Each record has query, image, annot, reasoning, cate, task, and metadata (plus a stable id). query is the VQA question and annot is a natural-language answer: it first says whether a defect exists, then gives the class and location of every defect. The original Pascal VOC boxes are preserved in metadata.objects as pixel [xmin, ymin, xmax, ymax] (xyxy) values. reasoning is null because no reasoning was supplied by the source data.

The VQA query is: Identify every visible defect in the image and return its class and bounding box.

Configuration	Images	Positive images	Defect label
OT	2,674	1,122	`overheated`
PB	2,638	1,529	`defects`

All images are included. Images without a matching XML and XML files with no objects become no_defect VQA records with the answer “No, there are no visible defects detected in this image.” metadata.annotation_status records whether a negative example came from an empty XML or the no-XML convention.

Upload-ready layout

hf_vqa/
├── README.md
└── data/
    ├── OT/train-00000-of-00001.parquet
    └── PB/train-00000-of-00001.parquet

Each Parquet file embeds image bytes in the image column, so the hf_vqa/ folder alone is the upload artifact. The raw JSONL and image folders are only needed to reproduce it. Use python3 convert_ot_to_vqa.py, python3 convert_pb_to_vqa.py, then python3 build_hf_parquet.py.

To reproduce the Parquet build in a clean Python environment, install pip install -r requirements.txt first. The XML-to-JSONL converters otherwise use only the Python standard library.