The SQuAD (Stanford Question Answering Dataset) is a popular dataset for training and evaluating question-answering systems. It consists of over 100,000 questions posed on a set of Wikipedia articles, where each question is paired with an answerable passage from the article. The dataset is designed to test the ability of models to understand and extract relevant information from text. SQuAD is widely used in the natural language processing community to benchmark the performance of reading comprehension models.
Stanford Question Answering Datasetis a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.
SQuAD2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions, when possible, but also determine when no answer is supported by the paragraph and abstain from answering.
Link: https://rajpurkar.github.io/SQuAD-explorer/
About GTI
GTI is an international cooperation platform initiated and established by China Mobile, Softbank, Vodafone and other operators in 2011. It currently has 146 operator members and 258 industry partners. In 2023, the new stage of GTI 3.0 was officially launched, and it is committed to continuously deepening the global cooperation of 5G-A+AI and achieving win-win commercial success. For more information, please visit http://gtigroup.org/
About the GTI 5G-A x AI Open Development Program
In Feb 2024 at MWC Barcelona, GTI launched the 5G-A×AI Development Program to promote the integrated innovation of 5G and AI in technology, business, ecology, and commerce, and two-way empowerment. Therefore, 5G is smarter and AI is more ubiquitous, which will support the goals of GTI 3.0. First, Build Open Labs to provide basic environment, equipment facilities, industry application scenarios and other resources for 5G-AxAI integration innovation, and carry out the R&D, testing and demonstration of new technologies and solutions. Second, Build an Open Collaborative Innovation Community, with an online platform for “Communication and Sharing” and “Supply and Demand Matching”, and jointly carry out cutting-edge exploration, technical research, testing and iterative optimization. Third, Explore Innovative 5G-AxAI Integration Use Cases, and condense themreplicable business model templates, so as to provide references for value creation and monetization.
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