4 datasets found
  1. RSS feed April/September 2019 from datorss.com

    • kaggle.com
    zip
    Updated Sep 5, 2019
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    Davide Santangelo (2019). RSS feed April/September 2019 from datorss.com [Dataset]. https://www.kaggle.com/davidesantangelo/rss-feed-aprilseptember-2019-from-searchfeedime
    Explore at:
    zip(87742132 bytes)Available download formats
    Dataset updated
    Sep 5, 2019
    Authors
    Davide Santangelo
    License

    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Description

    Dataset

    This dataset was created by Davide Santangelo

    Released under World Bank Dataset Terms of Use

    Contents

  2. RSS news feed

    • kaggle.com
    zip
    Updated May 27, 2021
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    Kopal Dixit (2021). RSS news feed [Dataset]. https://www.kaggle.com/kopaldixit/rss-news-feed
    Explore at:
    zip(95630504 bytes)Available download formats
    Dataset updated
    May 27, 2021
    Authors
    Kopal Dixit
    Description

    Dataset

    This dataset was created by Kopal Dixit

    Contents

  3. Real-Time Traffic Incident Reports

    • kaggle.com
    • data.wu.ac.at
    Updated Nov 25, 2021
    + more versions
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    Srinidhi (2021). Real-Time Traffic Incident Reports [Dataset]. https://www.kaggle.com/datasets/ggsri123/realtime-traffic-incident-reports
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 25, 2021
    Dataset provided by
    Kaggle
    Authors
    Srinidhi
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    This data set contains traffic incident information from the Austin-Travis County traffic reports.

    Content

    • Traffic Report ID: This column contains IDs for the traffic report (It is changed from the original dataset)
    • Published Date: Date the incident report was published
    • Issue Reported: The issue caused by the incident
    • Location, Latitude and Longitude of the report
    • Address of the incident
    • Status: Archived or Active
    • Status Date: DateTime at which the status was assigned

    Acknowledgements

    This data was picked from the official City of Austin Open Data Portal - Link here This data set contains traffic incident information from the Austin-Travis County traffic reports RSS feed, available at http://www.ci.austin.tx.us/qact/default.cfm. The dataset is updated every 5 minutes. Incidents that are currently in the RSS feed have a status of "active" in this dataset. Incidents that are no longer appear in the feed have a status of "archived."

    Inspiration

    This data might help us better understand the locations of the incidents/accidents that happen in the region. Could infer a time-location analogy of the incidents, helping us get a glimpse of the traffic situation.

  4. App Store Music App Reviews

    • kaggle.com
    Updated May 23, 2025
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    ClueSec (2025). App Store Music App Reviews [Dataset]. https://www.kaggle.com/datasets/cluesec/app-store-music-app-reviews
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 23, 2025
    Dataset provided by
    Kaggle
    Authors
    ClueSec
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    This dataset contains 5,640 user-submitted reviews of major music streaming apps on iOS, gathered from the Apple App Store’s public RSS feed.

    Covered applications include: * Apple Music * Spotify * TIDAL * SoundCloud * Deezer * Shazam

    Each review includes: * 🌍 country: Reviewer’s regional App Store (e.g., US, GB, JP) * 📝 review: Full text of the review (with title and body) * ⭐ rating: User star rating from 1 to 5 * 🕓 date: Timestamp (ISO format) * 👤 author: Reviewer display name

    These reviews were retrieved using Apple’s publicly accessible RSS feed endpoints. No login or scraping was used.

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Click to copy link
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Davide Santangelo (2019). RSS feed April/September 2019 from datorss.com [Dataset]. https://www.kaggle.com/davidesantangelo/rss-feed-aprilseptember-2019-from-searchfeedime
Organization logo

RSS feed April/September 2019 from datorss.com

RSS data extracted from various RSS feed. UI at https://datorss.com

Explore at:
zip(87742132 bytes)Available download formats
Dataset updated
Sep 5, 2019
Authors
Davide Santangelo
License

https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

Description

Dataset

This dataset was created by Davide Santangelo

Released under World Bank Dataset Terms of Use

Contents

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