Omkar2118/datasets huggingface dataset:
QAMPARI

**QAMPARI** is an ODQA benchmark, where question answers are lists of entities, spread across many paragraphs. It was created by (a) generating questions with multiple answers from Wikipedia's knowledge graph and tables, (b) automatically pairing answers with supporting evidence in Wikipedia paragraphs, and (c) manually paraphrasing questions and validating each answer.

Source: [QAMPARI: : An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs](https://paperswithcode.com/paper/qampari-an-open-domain-question-answering)

Image Source: [https://arxiv.org/pdf/2205.12665v2.pdf](https://arxiv.org/pdf/2205.12665v2.pdf)

Introducing paper: QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs
The Stack

**The Stack** contains over 3TB of permissively-licensed source code files covering 30 programming languages crawled from GitHub. The dataset was created as part of the BigCode Project, an open scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs).

Source: [https://huggingface.co/datasets/bigcode/the-stack](https://huggingface.co/datasets/bigcode/the-stack)

Image Source: [https://huggingface.co/datasets/bigcode/the-stack](https://huggingface.co/datasets/bigcode/the-stack)

Introducing paper: The Stack: 3 TB of permissively licensed source code