Abstract: Conventional Question and Answer (QA) datasets are created for generating factoid questions only and the present disclosure generates longform technical QA dataset from textbooks. Initially, the system receives a technical textbook document and extracts a plurality of contexts. Further, a first plurality of questions are generated based on the plurality of contexts. A plurality of answerable questions are generated further based on the plurality of contexts using an unsupervised template-based matching technique. Further, a combined plurality of questions are generated by combining the first plurality of questions and the plurality of answerable questions. Further, an answer for the combined plurality of questions are generated using an autoregressive language model and a mapping score is computed. Further, a plurality of optimal answers are selected based on the corresponding mapping score.

Abstract: A flex circuit including a plurality of layers folded on a first fold line and folded on a second fold line is disclosed. The plurality of layers may include a first conductive layer, an insulating layer adjacent the first conductive layer, and a second conductive layer adjacent the insulating layer. The flex circuit may include a plurality of slits extending through each layer of the plurality of layers, the plurality of slits disposed on the first fold line and the second fold line.

Abstract: A flex circuit including a plurality of layers folded on a first fold line and folded on a second fold line is disclosed. The plurality of layers may include a first conductive layer, an insulating layer adjacent the first conductive layer, and a second conductive layer adjacent the insulating layer. The flex circuit may include a plurality of slits extending through each layer of the plurality of layers, the plurality of slits disposed on the first fold line and the second fold line.