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README.md

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 pretty_name: Technical drawings for Manufacturability Benchmark
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+---
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+# Dataset Card for TechMB
+## Dataset Details
+
+The Technical drawing for Manufacturability Benchmark (TechMB) gives a domain specific benchmark for the task of manufacturability evaluations based on technical drawings.
+This task is described as a Visual Question Answering (VQA) task targeted at Vision Language Models (VLM) consisting of 975 question-answer pairs on 180 distinct techical drawings.
+The objects, the technical drawings are developed from, represent a selection of parts of the [Fusion 360 Gallery Segmentation Dataset](https://github.com/AutodeskAILab/Fusion360GalleryDataset/tree/master). 
+Please refer to [their publication](https://doi.org/10.48550/arXiv.2104.00706) for further information. Their licence statement can be found [here](https://github.com/AutodeskAILab/Fusion360GalleryDataset/blob/master/LICENSE.md).
+The IDs of the parts from the f360 segmentation dataset also declare the corresponding technical drawings for better association.
+
+- **Curated by:** Leonhard Kunz
+- **Funded by:** Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Projektnummer (543073350)
+- **Language(s) (NLP):** English, German
+- **License:** CC-BY-4.0
+
+
+## Dataset Structure
+
+The dataset consists contains the following fields:
+
+- **task_id:** ID of the specific question.
+- **eval_type:** Classifier for the expected answer type (answer matching, multiple choice, or containing keywords).
+- **drw_id:** ID of the part and the corresponding drawing.
+- **image:** Bit64 encoded image of the exported technical drawing.
+- **drw_complexity:** Numeric complexity of the drawing.
+- **question:** The question text.
+- **answer:** The expected answer corresponding to the answer type.
+- **label_confidence:** The confidence of the assorted labels in manual labelling (low, medium, high).
+
+
+
+## Citation:
+For more information, refer to our publication (upcomming):
+```
+
+```
+