Tutorials and example datasets

|  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [Hacker News vector search dataset](/docs/getting-started/example-datasets/hackernews-vector-search-dataset) Dataset containing 28+ million Hacker News postings & their vector embeddings|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [LAION 5B dataset](/docs/getting-started/example-datasets/laion-5b-dataset) Dataset containing 100 million vectors from the LAION 5B dataset|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [Laion-400M dataset](/docs/getting-started/example-datasets/laion-400m-dataset) Dataset containing 400 million images with English image captions|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [New York Public Library "What's on the Menu?" dataset](/docs/getting-started/example-datasets/menus) Dataset containing 1.3 million records of historical data on the menus of hotels, restaurants and cafes with the dishes along with their prices.|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [New York taxi data](/docs/getting-started/example-datasets/nyc-taxi) Data for billions of taxi and for-hire vehicle (Uber, Lyft, etc.) trips originating in New York City since 2009|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [NOAA Global Historical Climatology Network](/docs/getting-started/example-datasets/noaa) 2.5 billion rows of climate data for the last 120 yrs|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [NYPD complaint data](/docs/getting-started/example-datasets/nypd_complaint_data) Ingest and query Tab Separated Value data in 5 steps|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [OnTime](/docs/getting-started/example-datasets/ontime) Dataset containing the on-time performance of airline flights|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [Star Schema Benchmark (SSB, 2009)](/docs/getting-started/example-datasets/star-schema) The Star Schema Benchmark (SSB) data set and queries|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [Taiwan historical weather datasets](/docs/getting-started/example-datasets/tw-weather) 131 million rows of weather observation data for the last 128 yrs|  |  |  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [Terabyte click logs from Criteo](/docs/getting-started/example-datasets/criteo) A terabyte of click logs from Criteo|  |  |  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [The UK property prices dataset](/docs/getting-started/example-datasets/uk-price-paid) Learn how to use projections to improve the performance of queries that you run frequently using the UK property dataset, which contains data about prices paid for real-estate property in England and Wales|  |  |  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [TPC-DS (2012)](/docs/getting-started/example-datasets/tpcds) The TPC-DS benchmark data set and queries.|  |  |  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | --- | --- | | [TPC-H (1999)](/docs/getting-started/example-datasets/tpch) The TPC-H benchmark data set and queries.|  |  |  |  |  |  | | --- | --- | --- | --- | --- | --- | | [WikiStat](/docs/getting-started/example-datasets/wikistat) Explore the WikiStat dataset containing 0.5 trillion records.|  |  |  |  | | --- | --- | --- | --- | | [Writing queries in ClickHouse using GitHub data](/docs/getting-started/example-datasets/github) Dataset containing all of the commits and changes for the ClickHouse repository|  |  | | --- | --- | | [YouTube dataset of dislikes](/docs/getting-started/example-datasets/youtube-dislikes) A collection of dislikes of YouTube videos. | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |