Omkar2118/datasets huggingface dataset:
Badminton

This dataset was introduced by the TrackNetV2 work. 
Following the dataset split defined by the authors, we use all the clips from 26 matches as a training set and the remaining 3 matches as a testing set.

Introducing paper: TrackNetV2: Efficient Shuttlecock Tracking Network
Basketball
Full name: NUST-NBA181

TBD

Introducing paper: Social Adaptive Module for Weakly-supervised Group Activity Recognition
Benchmarking-Chinese-Text-Recognition

This repository contains datasets and baselines for benchmarking Chinese text recognition. Please see the corresponding paper for more details regarding the datasets, baselines, the empirical study, etc.

Highlights
🌟 All datasets are transformed to lmdb format for convenient usage.

🌟 The experimental results of all baselines are available at link with format (index [pred] [gt]).

🌟 The code and trained weights of all baselines are available at link for direct use.
VGG Physical Property

The VGG Physical Property dataset introduced in the paper is a set of dataset containing positive/negative pairs for understanding of different physical properties, including scene geometry, material, support relation, shadow, occlusion and depth.

Introducing paper: A General Protocol to Probe Large Vision Models for 3D Physical Understanding
RuSRL

This dataset contains annotations of semantic frames and intra-frame syntax for 1500 Russian sentences.
Each sentence is annotated with predicate-argument structures. Syntactic information is also provided for each frame.

{
 "sent_id": 1404,
 "tokens": ["в", "такой", "ситуации", "основные", "метеоэлементы",
            "-", "температура", ",", "влажность", ",", "давление", "-",
            "претерпевают", "малые", "суточные", "изменения", "."],
 "synt_head": [12, 2, 0, 4, 12, -1, 4, -1, 6, -1, 8, -1, -1, 15, 15, 12, -1],
 "sem_head": [-1, -1, -1, -1, 12, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 12, -1],
 "sem_role": ["_", "_", "_", "_", "субъект", "_", "_", "_", "_", "_", "_", "_", "_", "_", "_", "предикат", "_"]
}
Language: Russian
Size: 1500 sentences