Update README.md

README.md

@@ -19,7 +19,7 @@ size_categories:
 ## 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.
+This task is described as a Visual Question Answering (VQA) task targeted at Vision Language Models (VLM) consisting of 947 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.
@@ -38,7 +38,7 @@ The dataset consists contains the following fields:
 - **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.
+- **drw_complexity:** Numeric complexity of the drawing. Calculated with the following formula: $complexity=(faces+dimensionings+\frac{annotation characters}{4.6})*views$
 - **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).