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Learning an Executable Neural Semantic Parser
This paper describes a neural semantic parser that maps natural language utterances onto logical forms which can be executed against a task-specific environment, such as a... -
D4: A Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat
A Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat -
MedMNIST classification decathlon
Medical image analysis -
Fake News Detection in Hinglish Code-Mixed Social Media Text
A dataset of Hinglish text for code-mixed social media text for fake news detection -
Hinglish Sentiment Analysis
A dataset of Hinglish text for code-mixed social media text for sentiment analysis -
Hate Speech Detection in Hindi-English Code-Mixed Social Media Text
A dataset of Hinglish text for code-mixed social media text for hate speech detection -
Registry and Payments dataset
The dataset used in this paper is a binary problem, a pair of sentences can be either similar or not similar, with a high density of personal information and identification... -
Dense Layer Analysis
The dataset used in the paper is the Dense Layer Analysis (DLA) dataset. -
Pre-Trained Convolutional Neural Network Features for Facial Expression Recog...
Facial expression recognition has been an active area in computer vision with application areas including animation, social robots, personalized banking, etc. In this study,... -
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
HotpotQA is a dataset for diverse, explainable multi-hop question answering. -
CeSViMa Data Center
The dataset used in this paper is a real data center scenario, specifically the CeSViMa Data Center. -
YouTube Video Analytics for Patient Health Literacy: Evidence from Colonoscop...
The dataset is a collection of YouTube videos related to colonoscopy, with annotations for medical information, understandability, and recommendation. -
LDC2020T07
Cross-lingual Abstract Meaning Representation (AMR) parsing dataset -
Offset-Based Robust Beamforming
The dataset used in the paper is a robust downlink beamforming problem with imperfect CSI. -
Improving image classification with location context
Improving image classification with location context. -
YFCC100M-GEO100
The YFCC100M-GEO100 dataset contains 100,000 images with 100,000 geotags. -
Benchmarking representation learning for natural world image collections
Benchmarking representation learning for natural world image collections.