Omkar2118/datasets huggingface dataset:
Dialog-based Language Learning dataset

Dialog-based Language Learning dataset is designed to measure how well models can perform at learning as a student given a teacher’s textual responses to the student’s answer (as well as potentially receiving an external real-valued reward signal). 

Source: [Dialog-based Language Learning dataset](https://research.fb.com/downloads/babi/)

Introducing paper: Dialog-based Language Learning
TyDiQA-GoldP
Full name: TyDiQA-GoldP

**TyDiQA** is the gold passage version of the Typologically Diverse Question Answering (TyDiWA) dataset, a benchmark for information-seeking question answering, which covers nine languages. The gold passage version is a simplified version of the primary task, which uses only the gold passage as context and excludes unanswerable questions. It is thus similar to XQuAD and MLQA, while being more challenging as questions have been written without seeing the answers, leading to 3× and 2× less lexical overlap compared to XQuAD and MLQA respectively.

Source: [XTREME](https://arxiv.org/pdf/2003.11080.pdf)

Introducing paper: TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages