Search Results for "question answer script"

The Mathematics Dataset, developed by Google DeepMind, is a synthetic dataset designed to evaluate and train machine learning models on mathematical reasoning and symbolic manipulation. It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear logic and reproducibility. The dataset enables models to learn mathematical problem-solving through examples that involve both numeric and symbolic reasoning. ...

PaperQA2 is a package for doing high-accuracy retrieval augmented generation (RAG) on PDFs or text files, with a focus on the scientific literature. See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection. In this example we take a folder of research paper PDFs, magically get their metadata - including citation counts and a retraction check, then parse and cache PDFs into a full-text search index, and finally answer the user question with an LLM agent.

...There are two exceptions to this. 1) If you find a bug (please start a ticket and report it). 2) If your support request intersects with our need to document the software. Iris is currently largely undocumented, but we will be adding documentation over time. You may file a help request in the Discussion section. If we can answer your question via expanding the documentation, then we will do so by expanding the wiki. Questions that are tangential to our development and documentation goals will likely go unanswered by the development team.

...We will see how far we get or if we surpass it even, e.g with weather data and more. Why 33 as the name? Even though the answers we could get from the project might be very important, they won't be "The Answer to the Ultimate Question of Life, the Universe, and Everything", so not quite 42. But why exactly 33? Well, the founder had a project given up project of self-sustainability at house number 33. As the bounds of the topic of this project now is not quite clear or well defined, it is sort of a sentimental reference to the older project. ...

...But they keep all benefits of traditional decision tables. First of all they present the logic in a very dense form. 1. Explore all possible combinations of conditions and actions by question-and-answer. 2. Have a compact one-sheet-view on complex logic. 3. Have abandoned combinations documented. 4. Make sure that your decision table is (formally) neither incomplete nor inconsistent with one click. And the mathematics behind it is very easy and well documented ;-) 5. Get the test cases necessary to test your piece of logic with one click. 6. ...

An open-source Question and Answer plattform software, written in php, mysql. Based on the original Project by askbot.org

Python script that was originally intended for use in forensic examinations that parses WTMP files from Unix-like operating systems and generates a CSS-styled HTML report containing login terminal, username, log start date and login time/date in a table. Good for postmortem forensic examinations or as a way of getting "last" like information where you don't have the ability to boot the machine in question but can grab the wtmp.

A SOA-based framework for multilingual question answering (QA) systems that answer natural language questions with the help of a domain ontology and structured answer data sources from freely specifiable domains.

SPACS is an extension for Macromedia / Adobe Flash that automates flash tutorial creation. Using the SPACS panel, users submit a sequence of images, define hotspots which trigger question / answer sets, and outputs a flash file.(http://tinyurl.com/af6og5