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Imaging · dataset · 2026

MechVQA VQA SFT

Listed in Hugging Face Datasets

Dataset Card for MechVQA VQA SFT MechVQA VQA SFT is a bilingual visual question answering dataset for supervised fine-tuning on mechanical engineering drawings.

Description

This public release contains 13,515 question-answer records paired with 3,371 unique, content-addressed images. Assistant targets use <think>...</think><answer>...</answer> formatting.

This repository is the VQA-only SFT train/validation release associated with the MechVQA project. The public evaluation benchmark is… See the full description on the dataset page: huggingface.co/datasets/XiaofengAlg/MechVQA.

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Documentation and papers

Catalogue records · 1

Topics

Stated by source
image · text · visual question answering
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsXiaofengAlg/MechVQA14 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:imagesource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imagemapping · Hugging Facevocabulary-mapper@1.0.0keywords['image']
concepts[task].hf_task:visual-question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0