Update README.md

README.md

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-# DED-Thermal VQA Dataset (DD4)
+# DED-Thermal VQA Dataset
 
 This dataset is designed for **Visual Question Answering (VQA)** in the domain of advanced manufacturing, specifically focusing on **Directed Energy Deposition (DED)** additive manufacturing processes. It pairs in-situ infra-red (IR) thermal monitoring sequences/images with structured question-answer pairs to facilitate the development of Vision-Language Models (VLMs) capable of understanding physical phenomenon and thermal history in 3D printing.
 
@@ -33,7 +33,7 @@ This dataset is designed for **Visual Question Answering (VQA)** in the domain o
 
 During the Directed Energy Deposition (DED) process, real-time thermal behavior (e.g., melt pool dynamics, cooling rates, and thermal gradients) is critical to the structural integrity and quality of the final printed components. 
 
-**DD4** dataset provides a benchmark for evaluating multimodal AI agents on their ability to interpret, reason, and answer questions about physical manufacturing dynamics based on thermal visualization data.
+dataset provides a benchmark for evaluating multimodal AI agents on their ability to interpret, reason, and answer questions about physical manufacturing dynamics based on thermal visualization data.
 
 * **Task**: Visual Question Answering (VQA)
 * **Domain**: Additive Manufacturing / Directed Energy Deposition (DED)