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  2. Google Dataset Search - Wikipedia

    en.wikipedia.org/wiki/Google_Dataset_Search

    Google Dataset Search. Google Dataset Search is a search engine from Google that helps researchers locate online data that is freely available for use. [1] The company launched the service on September 5, 2018, and stated that the product was targeted at scientists and data journalists. The service was out of beta as of January 23, 2020.

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    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: ADGEfficiency Climatext Climatext is a dataset for sentence-based climate change topic detection. HF dataset: University of Zurich GreenBiz

  4. AOL Search FAQs - AOL Help

    help.aol.com/articles/aol-search-faqs

    AOL Search provides extensive search results along with convenient one-click access to relevant web content, including web results, images, videos, maps, and more. It offers a complete search experience by delivering a diverse range of results in a single search, eliminating the need for additional search queries.

  5. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community of data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  6. Topic model - Wikipedia

    en.wikipedia.org/wiki/Topic_model

    Topic model. In statistics and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for discovery of hidden semantic structures in a text body. Intuitively, given that a document is about a ...

  7. Google Public Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Google_Public_Data_Explorer

    Google Public Data Explorer provides public data and forecasts from a range of international organizations and academic institutions including the World Bank, OECD, Eurostat and the University of Denver. [2] [3] These can be displayed as line graphs, bar graphs, cross sectional plots or on maps. [4] The product was launched on March 8, 2010 as ...

  8. The Pile (dataset) - Wikipedia

    en.wikipedia.org/wiki/The_Pile_(dataset)

    The Pile (dataset) The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year. [1] [2] It is composed of 22 smaller datasets, including 14 new ones. [1]

  9. Manage contact auto suggestions in AOL Mail - AOL Help

    help.aol.com/articles/manage-contacts-auto...

    Hide unwanted suggestions in order to improve the accuracy of your suggestions. Hiding a contact suggestion will not remove the contact from your address book. Click Compose. Begin entering an email address or contact in the To field. When the unwanted contact appears, mouse over it and click X. Restore auto suggestions. Click Compose.