Omkar2118/datasets huggingface dataset:
Events in Invasion Games Dataset - Handball
Full name: EIGD-H

This dataset contains the broadcast video streams of handball matches along with synchronized official positional data and human event annotations for 125min raw data in summary.

### Data Source & Characteristics

- Handball matches from the [Handball-Bundesliga (HBL)](https://www.liquimoly-hbl.de/en/) captured in saison 2019/20
- Size: 5 matches x 5 sequences x 5min
- Video:
    - unedited broadcast video stream (no cuts, no overlays)
    - HD resolution (1280x720px)@30fps
- Positional data:
    - official captured by [Kinexon](https://kinexon.com/)
    - manually synchronized to video streams (offsets and sampling rate (originally captured at 20Hz))
- Events:
    - frame-wise annotations based solely on the video content
    - annotations according to the proposed taxonomy
    - multiple annotations for two matches (10 sequences) from 3 experts
    - hierarchical event format: `<root_event>.<sub_event>.<sub_sub_event>`
    - statistics: [event_statistics.ipynb]

### License

Position and video data are provided by [Kinexon](https://kinexon.com/) with authorization of the [Handball-Bundesliga (HBL)](https://www.liquimoly-hbl.de/en/).
As *EIGD-H* is licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) you must give appropriate credit when using this dataset by
1) naming the *Handball-Bundesliga (HBL)*
2) [citing this publication](#citation)

Introducing paper: A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games
Xia and Ding, 2019

Emotion-cause pair extraction (ECPE) aims to extract the potential pairs of emotions and corresponding causes in a document. This dataset consists of 1,945 Chinese documents from SINA NEWS website.

Introducing paper: Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
Leishmania parasite dataset

This dataset includes sharp-blur pairs of Leishmania image, which is a protozoan parasite microscopy image dataset of Leishmania, obtained from the preserved slides stained with Giemsa. The paired blur-sharp images are acquired by employing a bright-field microscope (Olympus IX53) with 100× magnification oil immersion objectives.We first capture the sharp images as ground truth, then acquire its corresponding out-of-focus images. The extent and nature of defocusing are random along the optical axis, where the degree of out-of-focus is inconsistent from image-to-image. This dataset includes 764 in-focus and 764 corresponding out-of-focus images, where each image is composed of 2304 × 1728 pixels in 24-bit JPG format.