2 datasets found
  1. h

    stackexchange

    • huggingface.co
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    Albert Gong, stackexchange [Dataset]. https://huggingface.co/datasets/ag2435/stackexchange
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Albert Gong
    Description

    StackExchange Dataset

    Working doc: https://docs.google.com/document/d/1h585bH5sYcQW4pkHzqWyQqA4ape2Bq6o1Cya0TkMOQc/edit?usp=sharing

    BigQuery query (see so_bigquery.ipynb): CREATE TEMP TABLE answers AS SELECT * FROM bigquery-public-data.stackoverflow.posts_answers WHERE LOWER(Body) LIKE '%arxiv%';

    CREATE TEMPORARY TABLE questions AS SELECT * FROM bigquery-public-data.stackoverflow.posts_questions;

    SELECT * FROM answers JOIN questions ON questions.id = answers.parent_id;

    NOTE:… See the full description on the dataset page: https://huggingface.co/datasets/ag2435/stackexchange.

  2. OpenStreetMap Public Dataset

    • console.cloud.google.com
    Updated Jul 17, 2023
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    https://console.cloud.google.com/marketplace/browse?filter=partner:OpenStreetMap&hl=en_GB&inv=1&invt=AbxNwQ (2023). OpenStreetMap Public Dataset [Dataset]. https://console.cloud.google.com/marketplace/product/openstreetmap/geo-openstreetmap?hl=en_GB
    Explore at:
    Dataset updated
    Jul 17, 2023
    Dataset provided by
    OpenStreetMap//www.openstreetmap.org/
    Googlehttp://google.com/
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Adapted from Wikipedia: OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. Created in 2004, it was inspired by the success of Wikipedia and more than two million registered users who can add data by manual survey, GPS devices, aerial photography, and other free sources. We've made available a number of tables (explained in detail below): history_* tables: full history of OSM objects planet_* tables: snapshot of current OSM objects as of Nov 2019 The history_* and planet_* table groups are composed of node, way, relation, and changeset tables. These contain the primary OSM data types and an additional changeset corresponding to OSM edits for convenient access. These objects are encoded using the BigQuery GEOGRAPHY data type so that they can be operated upon with the built-in geography functions to perform geometry and feature selection, additional processing. Example analyses are given below. This dataset is part of a larger effort to make data available in BigQuery through the Google Cloud Public Datasets program . OSM itself is produced as a public good by volunteers, and there are no guarantees about data quality. Interested in learning more about how these data were brought into BigQuery and how you can use them? Check out the sample queries below to get started. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Albert Gong, stackexchange [Dataset]. https://huggingface.co/datasets/ag2435/stackexchange

stackexchange

ag2435/stackexchange

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Authors
Albert Gong
Description

StackExchange Dataset

Working doc: https://docs.google.com/document/d/1h585bH5sYcQW4pkHzqWyQqA4ape2Bq6o1Cya0TkMOQc/edit?usp=sharing

BigQuery query (see so_bigquery.ipynb): CREATE TEMP TABLE answers AS SELECT * FROM bigquery-public-data.stackoverflow.posts_answers WHERE LOWER(Body) LIKE '%arxiv%';

CREATE TEMPORARY TABLE questions AS SELECT * FROM bigquery-public-data.stackoverflow.posts_questions;

SELECT * FROM answers JOIN questions ON questions.id = answers.parent_id;

NOTE:… See the full description on the dataset page: https://huggingface.co/datasets/ag2435/stackexchange.

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