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A dataset for NLP and climate change media researchers The dataset is made up of a number of data artifacts (JSON, JSONL & CSV text files & SQLite database) Climate news DB, Project's GitHub repository [395] ADGEfficiency Climatext Climatext is a dataset for sentence-based climate change topic detection. HF dataset [396] University of Zurich ...
Extended MNIST (EMNIST) is a newer dataset developed and released by NIST to be the (final) successor to MNIST. [ 15 ] [ 16 ] MNIST included images only of handwritten digits. EMNIST includes all the images from NIST Special Database 19 (SD 19), which is a large database of 814,255 handwritten uppercase and lower case letters and digits.
GitHub Copilot is a code completion and automatic programming tool developed by ... This includes a filtered dataset of 159 gigabytes of Python code sourced from 54 ...
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
DBpedia as the most interlinked LOD dataset and crystallization point of the Linked Open Data Cloud since 2008, image from 2021, generated from https://lod-cloud.net. In computing , linked data is structured data which is interlinked with other data so it becomes more useful through semantic queries .
GitHub: A set of utilities for accessing and processing MediaWiki data, including XML dumps pywikibot: Bots GitHub: Python library and collection of tools that automate work on MediaWiki sites. WikiShark: Page views WikiShark enables the viewing and comparison of pageview traffic data from the years 2008–present. The data is updated hourly.
Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. [1] C4.5 is an extension of Quinlan's earlier ID3 algorithm.The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier.