Omkar2118/datasets huggingface dataset:
Financial Language Understanding Evaluation

**Financial Language Understanding Evaluation** is an open-source comprehensive suite of benchmarks for the financial domain. It contains benchmarks across 5 NLP tasks in financial domain as well as common benchmarks used in the previous research. The tasks are financial sentiment analysis, news headline classification, named entity recognition, structure boundary detection and question answering.

Introducing paper: WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain
CausalBench

**CausalBench** is a comprehensive benchmark suite for evaluating network inference methods on large-scale perturbational single-cell gene expression data. CausalBench introduces several biologically meaningful performance metrics and operates on two large, curated and openly available benchmark data sets for evaluating methods on the inference of gene regulatory networks from single-cell data generated under perturbations. The datasets consists of over 200000 training samples under interventions.

Introducing paper: CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data