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MS MARCO Dev (small)
The MS MARCO Dev (small) dataset is a small version of the MS MARCO passage dev set. -
TREC 2020 Deep Learning (Passage Subtask)
The TREC 2020 Deep Learning (Passage Subtask) dataset consists of 54 queries with manual judgments from NIST annotators (211 relevance assessments per query, on average). -
TREC 2019 Deep Learning (Passage Subtask)
The TREC 2019 Deep Learning (Passage Subtask) dataset consists of 43 manually-judged queries using four relevance grades (215 relevance assessments per query, on average). -
Waypoints and Edges
The dataset used in the paper is a set of waypoints and edges for planning. -
2D Environment
The dataset used in the paper is a 2D environment where experiments are done. -
BCNet: Learning Body and Cloth Shape from A Single Image
A dataset for training the skinning weight network with neutral garments and ground truth skinning weights. -
Network-Aware AutoML Framework for Software-Defined Sensor Networks
The proposed system consists of four main modules: Monitoring, Optimal AutoML, Detection, and Mitigation. -
MNLI, QQP, and SST-2
The dataset used in this paper consists of three tasks: Multi-Genre Natural Language Inference (MNLI), Quora Question Pairs (QQP), and Stanford Sentiment Treebank (SST-2). -
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance...
Larger language models have higher accu- racy on average, but are they better on ev- ery single instance (datapoint)? -
NVRadarNet
NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving -
Efficient Industrial Refrigeration Scheduling with Peak Pricing
The dataset used in this paper for efficient industrial refrigeration scheduling with peak pricing. -
Animals with Attributes (AwA) dataset
The Animals with Attributes (AwA) dataset consists of 50 classes of animals, with 30,475 images in total. -
FlyingThings
A benchmark for optical flow estimation. -
NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots
Optical flow estimation on edge devices while ensuring high accuracy. -
Transformer-based embeddings
The dataset used in this study is a collection of molecular fingerprints generated by pre-trained models based on natural language processing algorithms. -
Admetlab 2.0
The Admetlab 2.0 dataset is an integrated online platform for accurate and comprehensive predictions of admet properties. -
Global Data Association for Multi-Object Tracking using Network Flows
The Global Data Association for Multi-Object Tracking using Network Flows dataset is used to evaluate the performance of multi-object tracking algorithms. -
Tracking-by-Animation
The proposed Tracking-by-Animation (TBA) framework achieves unsupervised end-to-end learning of MOT tasks. -
Local Binary Pattern Operator for Texture Classification
This dataset is used for texture classification.
