Omkar2118/datasets huggingface dataset:
CORD19 Tiny Graph Dataset
Full name: CORD19 Tiny Graph Dataset

This dataset is crated via finding the citation links between papers in CORD19 Dataset. We used only a small subset of the all graph by choosing papers that have 20 or more citation.

Introducing paper: Content Aware Analysis of Scholarly Networks: A Case Study on CORD19 Dataset
MolParser-7M

A large scale OCSR dataset, proposed in paper “MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild“
MolParser-7M contains nearly 8 million paired image-SMILES data. It should be noted that the caption of image is extended-SMILES format proposed in paper.

Introducing paper: MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild
MM-Eval
Full name: Modern Mongolian Evaluation

Large language models (LLMs) excel in high-resource languages but face notable challenges in low-resource languages like Mongolian. 
The release of MM-Eval, comprising 569 syntax, 677 semantics, 344 knowledge, and 250 reasoning tasks, offers valuable insights for advancing NLP and LLMs in low-resource languages like Mongolian.

Introducing paper: MM-Eval: A Hierarchical Benchmark for Modern Mongolian Evaluation in LLMs