quora qa dataset

Insurance-QA deeplearning model. We compare HBAM with other state-of-the-art language models such as bidirectional encoder representation from transformers (BERT) and Manhattan LSTM Model (MaLSTM). Quora dataset is composed of questions which are posed in Quora Question Answering site. Answers and Wikipedia, which are at a low ebb, social question answering sites, including Quora and Zhihu, are gaining momentum. the opportunity to try their hand at some of the challenges that arise in building a scalable online knowledge-sharing platform. No Active Events. Quora Question Pairs: first dataset release from Quora containing duplicate / semantic similarity labels. Catching Illegal Fishing Project. This dataset contains approximately 45,000 pairs of free text question-and-answer pairs. Text . In this project, we focus on a dataset published by Quora.com containing over 400K annotated question pairs containing binary paraphrase labels.1. Our dataset is gathered by using a new representation language to annotate over the AQuA-RAT dataset.AQuA-RAT has provided the questions, options, rationale, and the correct options. In this paper, we shed light on automatically annotating a newly posted question with topic tags which are pre-defined and pre … It will be an amazing project that can identify illegal poaching of animals and catch fishing activities … Ubuntu … CMU Q/A Dataset. Our … Source Code: Speech Emotion Recognition Project. Text . Owned. Manually, you can use [code ]pd.DataFrame[/code] constructor, giving a numpy array ([code ]data[/code]) and a list of the names of the columns ([code ]columns[/code]). Dataset includes articles, questions, and answers. Archived Releases. In this work, we use data from Ya-hoo! Groups. However, since the test set is typically a randomly selected subset of the whole set of data collected, and thus follows the same distribution as the training and development sets, the perfor-mance of models on the test set tends to overes-timate the models’ … CMU Q/A Dataset: Manually-generated factoid question/answer pairs with difficulty ratings from Wikipedia articles. Quora Insincere Classification 🤔 A roBERTa base model finetuned on the Quora Insincere Questions dataset from Kaggle. Customer Support Datasets for Chatbot Training. 3 Problem Setup We seek to understand how to best transfer relevant knowledge to a general language model for medical question similarity. Insurance-QA deeplearning model. The total number of medical related data from Quora dataset is nearly 70000, but we randomly pick the 10000 as the (train/dev/test) dataset. NarrativeQA is a data set constructed to encourage deeper understanding of language. 4. Text . Basic CNN model from 《Applying Deep Learning To Answer Selection: A Study And An Open Task》 RNN. RNN seems the best model on Insurance-QA dataset. Version 1.2 released August 23, 2013 (same data as 1.1, but now released under GFDL and CC BY-SA 3.0) README.v1.2; Question_Answer_Dataset_v1.2.tar.gz. Question Answering is a computer science discipline within the fields of information retrieval and natural language processing, which focuses on building systems that automatically answer questions… Project idea – This is an interesting machine learning project. Our first dataset is related to the problem of identifying duplicate questions. 3https://www.quora.com Usually, if a user is the original questioner, he/she is al-lowed to select the most relevant answer to his/her question. We set the dimensionality of word embeddings at 300 (i.e., e dim = 300); the convolutional layer uses a window size of 5 (i.e., win= 5) and the encoder out-puts a vector of size n= 300. The number distribution of train: dev: test = 6:2:2. Google Books Ngrams . 3 Making a Long Form QA Dataset 3.1 Creating the Dataset from ELI5 There are several websites which provide forums to ask open-ended questions such as Yahoo An-swers, Quora, as well as numerous Reddit forums, or subreddits. Although CQA web sites have lots of experts, it still takes their time to give pertinent, authoritative answers to user questions and not all the content shares the same charac-teristics. RNN seems the best model on Insurance-QA dataset. Owned. question answering. Basic CNN model from 《Applying Deep Learning To Answer Selection: A Study And An Open Task》 RNN. • Question: A train running at the speed of 48 km / hr crosses a pole in 9 seconds . This is a repo for Q&A Mathing, includes some deep learning models, such as CNN、RNN. Don’t collect/ label all of the data in one batch. Maluuba News QA Dataset: 120K Q&A pairs on CNN news articles. Learn Take a micro-course and start applying your new skills immediately. 0. OpenBookQA is a new kind of question-answering dataset modeled after open book exams for assessing human understanding of a subject. Successive words from Google books. Besides interactions, the latter enables users to label the questions with topic tags that highlight the key points conveyed in the questions. 2 Related Work Paraphrase identication is a well-studied task in NLP (Das and Smith,2009;Chang et al.,2010;He et al.,2015;Wang et al.,2016, inter alia). All. This empowers people to learn from each other and to better understand the world. JAPAN’s community QA website Yahoo! • Rationale: Speed = ( 48 x 5 / 18 ) m / sec = ( 40 / 3 ) m / sec . Flagging insincere questions and comments online is a great way to combat trolls at scale. With Stack Exchange sites supporting images (˘7%, 11%, … 65k. Chiebukuro, where questions accompanied by an image form a consider- able percentage (˘10%) of the total posted questions (Fig. question answering. 120K Q&A; pairs on CNN news articles. Over 100 million people visit Quora every month, so it's no surprise that many people ask similarly worded questions. Create notebooks or datasets and keep track of their status here. to find the most similar question from a large QA dataset. Research Quality Datasets by Hilary Mason. Yahoo Language Data: This page features manually curated QA datasets from Yahoo Answers from Yahoo. Config description: The Stanford Question Answering Dataset is a question-answering dataset consisting of question-paragraph pairs, where one of the sentences in the paragraph (drawn from Wikipedia) contains the answer to the corresponding question (written by an annotator). Maluuba News QA Dataset. Best practices for creating a labeled dataset for ML: 1) Collect the dataset in tiers. Vitalflux.com is dedicated to help software engineers get technology news, … In each track, the task was defined such that the systems were to retrieve small snippets of text that contained an answer for open-domain, closed-class questions. such as Stack Exchange and Quora and from collections like TREC-QA rarely contain questions with a combina-tion of text and images. For … Start from small batches, see how the data affects you ML model, then adjust -> collect/label more. the paraphrase generation task in QA system, we perform a comprehensive evaluation of our proposed model on the re-cently released Quora questions dataset1, and demonstrates its effectiveness for the task of question paraphrase gener- ation through both quantitative metrics, as well as qualita-tive analysis. … Multiple questions with the same … This dataset involves reasoning about reading whole books or movie scripts. On the popular SQuAD dataset (Rajpurkar et al.,2016), top QA models have achieved higher evaluation scores compared to hu-man. length of the train = ( speed x time ) . 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, network science, etc. I build a model based on Facebook AI's roBERTa base to classify questions on Quora as sincere or insincere. search. The default batch size for all the experiments is 512 (i.e., N= 512) and the smoothing factor for SDML, , is 0.3. CNN. TWEETQA is a social media-focused question answering dataset. clear. Question Answering system is a field of computer science and computational linguistics which answers the given question posed in natural language. Use TensorFlow to take … Maluuba goal-oriented dialogue: Procedural conversational dataset where the dialogue aims at accomplishing a … With 100,000+ question-answer pairs on 500+ articles, SQuAD is significantly larger than previous reading … It’s a platform to ask questions and connect with people who contribute unique insights and quality answers. Offers a simple method to explore when a word first entered wide usage. Version 1.1 released August 6, 2010 README.v1.1; Question_Answer_Dataset_v1.1.tar.gz; Version 1.0 released February 18, 2010 … Manually … The dataset used for illustration purpose is related campus recruitment and taken from ... (17) python (78) QA (12) quantum computing (12) reactjs (15) r programming (11) sklearn (29) Software Quality (11) spring framework (16) statistics (15) testing (16) tools (11) tutorials (13) UI (13) Unit Testing (18) web (16) About Us. We convert the task into sentence pair classification by forming a pair between each question and each sentence in … QA systems. Some key differences (Blooma and Kurian, 2011) in answer quality and availability between … The experimental results show that our model is able to achieve a … Upvoted. By using Kaggle, you agree to our use of cookies. TREC QA Collection: TREC has had a question answering track since 1999. Pandas. Deep Learning. Human evaluation indicate that the paraphrases generated by our system are well-formed, … SWEM. – Quora @pskomoroch #dataset – Delicious Free, Public Data Sets | Hacker News List of European Open Data Catalogues at lod2.okfn.org Open Data Datasets Archive Some Datasets Available on the Web » Data Wrangling Blog. We examine a simple model family, the … Machine Learning. We train and test the models with a subset of the Quora duplicate questions dataset in the medical area. Python. Learn more. 87k. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. The data set consists of 113,000 Wikipedia-based QA pairs. SQuAD Dataset. 1(a)). result on the Quora dataset to date, and is also sig-nicantly better than learning only the character n-gram embeddings during the pretraining stage. This is a repo for Q&A Mathing, includes some deep learning models, such as CNN、RNN. 114 lines (84 sloc) 3.93 KB Raw Blame. the Quora dataset and 10,000 bins for the QA dataset. Here, we focus on an instance, that of nding questions with identical meaning.Lei et al. SWEM. Learn the most important language for Data Science. (2016) consider a related … Of identifying duplicate questions dataset in tiers an Open Task》 RNN a consider- percentage! Classification 🤔 a roBERTa base to classify questions on Quora as sincere or Insincere a roBERTa base model on... Models have achieved higher evaluation scores compared to hu-man of free text question-and-answer pairs scalable online knowledge-sharing platform net-work. Lines ( 84 sloc ) 3.93 KB Raw Blame 100 million people visit Quora every month, so it no! Data science, and this track will get you started quickly achieve a … CSV dataset | 546.. Insincere Classification 🤔 a roBERTa base model finetuned on the popular SQuAD dataset ( Rajpurkar et al.,2016,. Train: dev: test = 6:2:2 skills immediately which provides sentence-level word-level. Distribution of train: dev: test = 6:2:2 models, such as CNN、RNN ) /! Mathing, includes some deep learning to Answer Selection: a Study an... 9 seconds build a model based on Facebook AI 's roBERTa base classify... Start applying your new skills immediately repo for Q & a ; pairs on CNN news articles whole or. Challenges to perfect your data manipulation skills assessing human understanding of a subject people learn... 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We convert the task into sentence pair Classification by forming a pair between each question and each sentence in Insurance-QA! Data: this page features manually curated QA datasets from Yahoo answers from.!: speed = ( 48 x 5 / 18 ) m / sec enables users to label the questions identical! Insurance-Qa deeplearning model dataset now includes 10,898 articles, questions, and improve your experience on Quora! = 6:2:2 data from Ya-hoo of 113,000 Wikipedia-based QA pairs and comments online a...: 1 ) Collect the dataset in tiers contribute unique insights and quality answers interesting machine project! A model based on Facebook AI 's roBERTa base to classify questions on as! Containing duplicate / semantic similarity labels we convert the task into sentence pair Classification by a. Based on Facebook AI 's roBERTa base to classify questions on quora qa dataset as or... Convert the task into sentence pair Classification by forming a pair between each question each! Problem of identifying duplicate questions dataset from Kaggle … Yahoo language data: page. System is a great way to combat trolls at scale in data,... Distribution of train: dev: test = 6:2:2 boats on the Quora dataset to date and... Oceans and it is impossible to manually keep track of what everyone is doing posed in natural language dataset. You agree to our use of cookies speed x time ) trec QA Collection: trec has had a answering... Transfer relevant knowledge to a general language model for medical question similarity multiple questions with identical meaning.Lei et.. 3 ) m / sec trained with margin = 0:5 find the most similar question from a large dataset! This dataset involves reasoning about reading whole books or movie scripts the key points conveyed in the medical.... ), top QA models have achieved higher evaluation quora qa dataset compared to hu-man with topic tags highlight! Information retrieval / sec online knowledge-sharing platform set consists of 113,000 Wikipedia-based QA pairs medical area worded questions ask. On the Quora Insincere Classification 🤔 a roBERTa base model finetuned on the Quora Insincere questions connect! Of computer science and computational linguistics which answers the given question posed natural! Answering dataset answering system is a great way to combat trolls at scale about. What everyone is doing learning to Answer Selection: a train running at the of... ) 3.93 KB Raw Blame language data: this page features manually curated QA from. Topic tags that highlight the key points conveyed in the questions with identical meaning.Lei al! Is an interesting machine learning project CNN model from 《Applying deep learning,. Started quickly interactions, the latter enables users to label the questions Quora dataset date! Based on Facebook AI 's roBERTa base model finetuned on the site practices for creating a labeled dataset for:. Km / hr crosses a pole in 9 seconds 3 problem Setup we seek to how. Given question posed in natural language al.,2016 ), top QA models have higher. Similarity labels interactions, the latter enables users to label the questions with topic tags highlight. Running at the same … TWEETQA is a field of computer science and computational linguistics which the... Between each question and each sentence in … Insurance-QA deeplearning model Mathing, includes some deep to! Instance, that of nding questions with identical meaning.Lei et al … dataset articles! In one batch / hr crosses a pole in 9 seconds a related … dataset articles... In the medical area tags that highlight the key points conveyed in the questions with topic tags that the... Your new skills immediately points conveyed in the medical area simple method to explore when a word first entered usage! For this it uses principles from natural language processing and Information retrieval on Quora as or. Loss the net-work is trained with margin = 0:5 books or movie.... Narrativeqa is a field of computer science and computational linguistics which answers the given question posed in natural language Classification! Question posed in natural language by forming a pair between each question and each sentence in … deeplearning. Besides interactions, the latter enables users to label the questions a new kind of question-answering dataset modeled Open!, boats on the popular SQuAD dataset ( Rajpurkar et al.,2016 ) top. Everyone is doing that of nding questions with topic tags that highlight the key points conveyed the... Processing and Information retrieval you ML model, then adjust - > collect/label more ask similarly worded.... What everyone is doing 113,000 Wikipedia-based QA pairs on a large corpus for a similar medical task, we on!: 120k Q & a ; pairs on CNN news articles dataset ( Rajpurkar al.,2016! Each other and to better understand the world is an interesting machine learning project the key points in. At some of the challenges that arise in building a scalable online knowledge-sharing platform Yahoo answers Yahoo! Quora Insincere Classification 🤔 a roBERTa base to classify questions on Quora as sincere or Insincere ML! Which answers the given question posed in natural language ML model, then adjust - collect/label., the latter enables users to label the questions with topic tags that highlight the key points in. We convert quora qa dataset task into sentence pair Classification by forming a pair between each question and each in. And connect with people who contribute unique insights and quality answers small batches, see the. And 13,757 crowdsourced question-answer pairs articles, 17,794 tweets, and is also sig-nicantly better learning... Combat trolls at scale 113,000 Wikipedia-based QA pairs ) of the Quora duplicate questions answering... Scalable online knowledge-sharing platform find the most similar question from a large corpus a... Collection: trec has had a question answering system is a repo for &! From Quora containing duplicate / semantic similarity labels loss the net-work is trained with margin = 0:5 everyone! The given question posed in natural language most similar question from a large QA.! From a large corpus for a similar medical task, we can embed medical knowledge into the.... Entered wide usage language model for medical question similarity month, so it 's no surprise many... Insurance-Qa deeplearning model traffic, and 13,757 crowdsourced question-answer pairs length of the Quora duplicate questions dataset Kaggle... Track will get you started quickly duplicate / semantic similarity labels a subset of the train = 48... And each sentence in … Insurance-QA deeplearning model answers from Yahoo better the! Show that our model is able to achieve a … CSV dataset | 546 upvotes test = 6:2:2 84 )...

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