Omkar2118/datasets huggingface dataset:
QTautobase

Equilibrium structures of the tautobase(reference) optimized at the level of theory of popular quantum chemical databases (QM9,PC9 and ANI-E). The structures were generated from the SMILES structures of the original publication and then optimized using Gaussian09. For simplicity, structures are divided on type 'A' and 'B'. The database consists of 1257 pairs (2514 molecules) for each database evaluated. The format of the database is .xyz
Parasitic Egg Detection and Classification in Microscopic Images

Parasitic infections have been recognized as one of the most significant causes of illnesses by WHO. Most infected persons shed cysts or eggs in their living environment, and unwittingly cause transmission of parasites to other individuals. Diagnosis of intestinal parasites is usually based on direct examination in the laboratory, of which capacity is obviously limited. Targeting to automate routine fecal examination for parasitic diseases, this challenge aims to gather experts in the field to develop robust automated methods to detect and classify eggs of parasitic worms in a variety of microscopic images. Participants will work with a large-scale dataset, containing 11 types of parasitic eggs from fecal smear samples. They are the main interest because of causing major diseases and illness in developing countries. We open to any techniques used for parasitic egg recognition, ranging from conventional approaches based on statistical models to deep learning techniques. Finally, the organizers expect a new collaboration come out from the challenge.

Introducing paper: Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning
TUT Urban Acoustic Scenes 2018

The dataset for this task is the TUT Urban Acoustic Scenes 2018 dataset, consisting of recordings from various acoustic scenes. The dataset was recorded in six large european cities, in different locations for each scene class. For each recording location there are 5-6 minutes of audio. The original recordings were split into segments with a length of 10 seconds that are provided in individual files. Available information about the recordings include the following: acoustic scene class, city, and recording location.
TAU Audio-Visual Urban Scenes 2021

The dataset for this task is TAU Audio-Visual Urban Scenes 2021. The dataset contains synchronized audio and video recordings from 12 European cities in 10 different scenes.
IGC
Full name: Image-Grounded Conversation dataset

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Introducing paper: IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations