Question-Answer Dataset: This corpus includes Wikipedia articles, manually-generated factoid questions from them, and manually-generated answers to these questions, for use in academic research. The WikiQA Corpus: A publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering. In order to reflect the true information need of ... We will be using the Quora Question Pairs Dataset. Like any… Get started. Open in app. Sign in. Get started. Follow. 546K Followers · Editors' Picks Features Explore Contribute. About. Get started. Open in app. Quora Question Pairs: Detecting Text Similarity using Siamese networks. Quora Similar Questions: Detecting Text Similarity using Siamese networks. Aadit Kapoor. Aug 17, 2020 · 4 min ... While we are on the topic of Question-Answering, there is another dataset released in 2020 that adds to the famous list of Question-Answering datasets like the Quora Question-Answer Pairs, SquAD, etc. Quora Question Pair Similarity Over 100 million people visit Quora every month, so it's no surprise that many people ask similarly worded questions. Multiple questions with the same intent can cause seekers to spend more time finding the best answer to their question, and make writers feel they need to answer multiple versions of the same question. 引言 在Quora Question Pairs比赛中，我们的目标是判断给定的两个问题的语义信息是否相同（即是否为重复问题），使用的评估标准是log loss，交叉熵损失函数 \[ \frac{1}{N}\sum_{i=0}^{N}{-y_i \log{\widehat{y}_i} - (1-y_i)\log{(1-\widehat{y}_i)}}\] 在这个比赛中，训练集和测试集的类型存在不平衡... First Quora Dataset Release: Question Pairs. Authors: Shankar Iyer, Nikhil Dandekar, and Kornél Csernai. Today, we are excited to announce the first in what we plan to be a series of public dataset releases. Our dataset releases will be oriented around various problems of relevance to Quora and will give researchers in diverse areas such as machine learning, natural language processing ... The goal is to predict which of the included question pairs contain pairs having identical meanings. The ground truth is the set of labels supplied by human experts and are inherently subjective, since the true intended meaning of each of the sentences can never be known with a total certainty. Human labeling is also considered a relatively 'noisy' process with its own degree of ... We believe the labels, on the whole, to represent a reasonable consensus, but this may often not be true on a case by case basis for individual items in the dataset. Please note: as an anti-cheating measure, Kaggle has supplemented the test set with computer-generated question pairs. Those rows do not come from Quora, and are not counted in the ... Using MaLSTM model (Siamese networks + LSTM with Manhattan metric) to detect semantic similarity between question pairs. Training dataset used is a subset of the original Quora Question Pairs Dataset (~363K pairs used) There are over 400,000 lines of potential question duplicate pairs. Each line contains IDs for each question in the pair, the full text for each question, and a binary value that indicates whether the line truly contains a duplicate pair. Acknowledgements. For more information on this dataset, check out Quora's first dataset release page. License
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