qa dataset
It contains 300,000 naturally occurring questions, along with human-annotated answers from Wikipedia pages, to be used in training QA systems.,TOEFL-QA: A question answering dataset for machine comprehension of spoken content. Authors: Bo-Hsiang Tseng & Yu-An Chung. The dataset was originally ... ,ToM QA Dataset. This repository includes the code to generate data from our EMNLP 2018 paper "Evaluating Theory of Mind in Question Answering". You can ... ,This project aims to create a QA data set with the pair of Natural Language question to their corresponding SPARQL query. The incentive is to create a good ... ,Another commonly used QA dataset several years ago was TrecQA. This was developed as part of the Text Retrevial Conference (TREC) challenges. Similar to ... ,ShARC is a challenging QA dataset that requires logical reasoning, elements of entailment/NLI and natural language generation. Most work in machine reading ... ,These question-answering (QA) systems could have a big impact on the way that ... cause NQ to be a more realistic and challenging task than prior QA datasets. ,Stanford Question Answering Dataset (SQuAD) is a new reading comprehension dataset, ... May 13, 2019, BERT-Base + QA Pre-training (single model). ,While previous datasets have concentrated on question answering (QA) for formal text like news and Wikipedia, we present the first large-scale dataset for QA ... ,HotpotQA is also a QA dataset and it is useful for multi-hop question answering when you need reasoning over paragraphs to find the right answer.
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 qa dataset 相關參考資料
10 Question-Answering Datasets To Build Robust Chatbot ...
It contains 300,000 naturally occurring questions, along with human-annotated answers from Wikipedia pages, to be used in training QA systems. https://analyticsindiamag.com iamyuanchungTOEFL-QA: A question answering ... - GitHub
TOEFL-QA: A question answering dataset for machine comprehension of spoken content. Authors: Bo-Hsiang Tseng & Yu-An Chung. The dataset was originally ... https://github.com kayburnstom-qa-dataset - GitHub
ToM QA Dataset. This repository includes the code to generate data from our EMNLP 2018 paper "Evaluating Theory of Mind in Question Answering". You can ... https://github.com QA-Dataset – Smart Data Analytics
This project aims to create a QA data set with the pair of Natural Language question to their corresponding SPARQL query. The incentive is to create a good ... https://sda.tech Question Answering DatasetsLeaderboards | Kaggle
Another commonly used QA dataset several years ago was TrecQA. This was developed as part of the Text Retrevial Conference (TREC) challenges. Similar to ... https://www.kaggle.com Question answering | NLP-progress
ShARC is a challenging QA dataset that requires logical reasoning, elements of entailment/NLI and natural language generation. Most work in machine reading ... http://nlpprogress.com The Natural Questions Dataset - Google's Natural Questions
These question-answering (QA) systems could have a big impact on the way that ... cause NQ to be a more realistic and challenging task than prior QA datasets. https://ai.google.com The Stanford Question Answering Dataset
Stanford Question Answering Dataset (SQuAD) is a new reading comprehension dataset, ... May 13, 2019, BERT-Base + QA Pre-training (single model). https://rajpurkar.github.io TWEETQA: A Social Media Focused Question Answering ...
While previous datasets have concentrated on question answering (QA) for formal text like news and Wikipedia, we present the first large-scale dataset for QA ... https://www.aclweb.org What are the datasets available for question answering ...
HotpotQA is also a QA dataset and it is useful for multi-hop question answering when you need reasoning over paragraphs to find the right answer. https://www.researchgate.net |