Awesome Deep Learning
Section: Datasets · Stanford released ~100,000 English QA pairs and ~50,000 unanswerable questions
SlowScore 59
Entry
SQuAD
Appears in 4 awesome lists
Stanford Question Answering Dataset (SQuAD) is 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…
Found in these lists
Awesome Deep Learning Resources
Section: Some Datasets · Question answering dataset that can be explored online, and a list of models performing well on that dataset.
StaleScore 52
awesome-nlp
Section: Question Answering and Reading Comprehension · extractive reading comprehension.
FreshScore 90
Awesome Question Answering
Section: Datasets · Stanford Question Answering Dataset (SQuAD) is 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…
StaleScore 48
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DrQA
Reading Wikipedia to answer open-domain questions.
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Self-RAG
(2023) - retrieval, generation, and self-critique.
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TriviaQA
TriviaQA is a reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per question on average, that provide high quality distant supervision…
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GAIA
general AI assistant benchmark including multi-step QA.
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LibriSpeech
Huge free English speech dataset with balanced genders and speakers, that seems to be of high quality.
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Fashion-MNIST
MNIST like fashion product dataset consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes.
In 2 lists
Cornell Movie--Dialogs Corpus
This could be used for a chatbot.
In 2 lists
DPR
and FiD - retrieve-then-read; the standard pre-LLM open-domain QA pipeline.