Omkar2118/datasets huggingface dataset:
CRIPP-VQA
Full name: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering

**CRIPP-VQA** is a video question answering dataset for reasoning about the implicit physical properties of objects in a scene. It contains videos of object in motion, annotated with questions that involve counterfactual reasoning about actions, questions about planning in order to reach a goal, and descriptive questions about visible properties of objects.

Source: [CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering](https://arxiv.org/pdf/2211.03779v1.pdf)

Image Source: [https://arxiv.org/pdf/2211.03779v1.pdf](https://arxiv.org/pdf/2211.03779v1.pdf)

Introducing paper: CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering
legal_NER

**legal_NER** is a corpus of 46545 annotated legal named entities mapped to 14 legal entity types. It is designed for named entity recognition in indian court judgement.

Source: [Named Entity Recognition in Indian court judgments](https://arxiv.org/pdf/2211.03442v1.pdf)

Image Source: [https://arxiv.org/pdf/2211.03442v1.pdf](https://arxiv.org/pdf/2211.03442v1.pdf)