Omkar2118/datasets huggingface dataset:
HPO
Full name: Human Phenotype Ontology

The Human Phenotype Ontology (HPO) graph is a standardized vocabulary of human phenotypic abnormalities and their relationships. It represents these abnormalities as nodes in a graph, with edges indicating relationships such as subtypes or overlapping features. The HPO graph is organized in a hierarchical structure, with more general terms at the top and more specific terms at the bottom. The ontology provides a framework for the annotation of human genetic variations, aiding in the diagnosis of rare genetic disorders and the identification of potential therapeutic targets.
Car crash dataset RUSSIA 2022-2023

Car crash dataset RUSSIA 2022-2023 is a big driving video dataset that contains over 500 high-resolution videos of various driving scenarios. The dataset was created to aid the development and testing of autonomous driving systems and other related technologies. It includes videos from Russia, captured from a diverse set of locations, weather conditions, and lighting conditions, each video lasting about 10 seconds. The videos are annotated with bounding boxes around objects such as different types of cars, pedestrians, and cyclists, as well as traffic signs, and traffic lights. Additionally, the dataset includes metadata information for each video.Car crash dataset RUSSIA 2022-2023 is considered to be one of the few datasets from Russia on this topic. Created by 7 students from Moscow, MIEM HSE. First version published on 4th May, 2023.
MINDS-14

**MINDS-14** is a dataset designed for the **intent detection task with spoken data**. It encompasses **14 distinct intents** extracted from a commercial system in the **e-banking domain**. These intents are associated with spoken examples in **14 diverse language varieties**. The dataset serves as a valuable resource for training and evaluating intent detection models.

Here are some key details about the **MINDS-14 dataset**:

- **Tasks**: The primary task is **Automatic Speech Recognition**, specifically **keyword-spotting**.
- **Languages**: The dataset includes examples in **English**, **French**, **Italian**, and **nine other languages**.
- **Multilinguality**: It is a **multilingual** dataset.
- **Size Categories**: The dataset size falls within the range of **10,000 to 100,000 examples**.
- **Language Creators**: The annotations were created by a combination of **crowdsourced** and **expert-generated** contributors.
- **License**: The dataset is available under the **CC-BY-4.0** license.

Source: Conversation with Bing, 3/18/2024
(1) PolyAI/minds14 · Datasets at Hugging Face. https://huggingface.co/datasets/PolyAI/minds14.
(2) PolyAI/minds14 at main - Hugging Face. https://huggingface.co/datasets/PolyAI/minds14/tree/main.
(3) minds14.py · PolyAI/minds14 at main - Hugging Face. https://huggingface.co/datasets/PolyAI/minds14/blob/main/minds14.py.
FilmSet

A large film style dataset

Introducing paper: A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement
VISO
Full name: VIdeo Satellite Objects

This dataset is a large-scale dataset for moving object detection and tracking in satellite videos, which consists of 40 satellite videos captured by Jilin-1 satellite platforms. Each image has a resolution of 12000x5000 and contains a great number of objects with different scales. Four common types of vechicles, including plane, car, ship, and train, are manually-labeled. A total of 853,911 instances are labeled by axis-aligned bounding boxes.
https://paperswithcode.com/paper/detecting-and-tracking-small-and-dense-moving