VQA: Visual Question Answering
What is VQA? VQA is a new dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer. 265,016 images (COCO and abstract scenes) At least 3 questions (5.4 questions on average) per image 10 ground truth answers per question 3 plausible...
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Imageclef.org
ImageCLEF - The CLEF Cross Language Image Retrieval Track | ImageCLEF / LifeCLEF - Multimedia Retrieval in CLEF
Sponsors Description ImageCLEF aims to provide an evaluation forum for the cross–language annotation and retrieval of images. Motivated by the need to support multilingual users from a global community accessing the ever growing body of visual information, the main goal of ImageCLEF is to support the advancement of the field...
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Cocodataset.org
COCO - Common Objects in Context
Home People Dataset Overview Explore Download External Terms of Use Tasks Detection 2020 Keypoints 2020 Panoptic 2020 DensePose 2020 Detection 2019 Keypoints 2019 Stuff 2019 Panoptic 2019 Detection 2018 Keypoints 2018 Stuff 2018 Panoptic 2018 Detection 2017 Keypoints 2017 Stuff 2017 Detection 2016 Keypoints 2016 Detection 2015 Captioning 2015 Evaluate...
Quac.ai
Question Answering in Context
Question Answering in Context (QuAC) is a dataset for modeling, understanding, and participating in information seeking dialog. Data instances consist of an interactive dialog between two crowd workers: (1) a student who poses a sequence of freeform questions to learn as much as possible about a hidden Wikipedia text, and (2) a teacher who answers the questions by providing short excerpts (spans) from the text. QuAC introduces challenges not found in existing machine comprehension datasets: its questions are often more open-ended, unanswerable, or only meaningful within the dialog context.
Parl.ai
ParlAI
Examples Display 10 random examples from task 1 of the "1k training examples" bAbI task: Run this command: parlai display_data --task babi:task1k:1 Displays 100 random examples from multitasking on the bAbI task and the SQuAD dataset at the same time: Run this command: parlai display_data --task babi:task1k:1,squad -n 100 Evaluate...
Hanc.info
HIV/AIDS Network Coordination
The Office of HIV/AIDS Network Coordination (HANC) works with the HIV/AIDS Clinical Trials Networks of the U.S. National Institutes of Health (NIH) with the intent of creating a more integrated, collaborative and flexible research structure.
Nlpprogress.com
Tracking Progress in Natural Language Processing | NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
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