Top 5 Jupyter Notebook question-answering Projects
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ThoughtSource
A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/
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ToolQA
ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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medmcqa
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: 🔍📊 Exciting development in the AI world: Introducing ToolQA, a new dataset that evaluates how well Large Language Models (LLMs) can use external tools for question answering. | /r/machinelearningnews | 2023-07-01
Jupyter Notebook question-answering related posts
Index
What are some of the best open-source question-answering projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | ThoughtSource | 833 |
2 | ToolQA | 206 |
3 | medmcqa | 116 |
4 | tableQA-Chinese | 11 |
5 | Multimodal | 8 |
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