5 datasets found
  1. Z

    Dataset for paper "Automatically Identifying Archival-worthy,...

    • data.niaid.nih.gov
    Updated Feb 7, 2020
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    TBA (2020). Dataset for paper "Automatically Identifying Archival-worthy, Software-related Slack Conversations" [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3468558
    Explore at:
    Dataset updated
    Feb 7, 2020
    Dataset authored and provided by
    TBA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset consists of 2000 conversations from 5 programming related Q&A channels, hosted on Slack, and accompanies the paper "Automatically Identifying Archival-worthy, Software-related Slack Conversations". In addition to the text of the conversations, each conversation has been annotated as either archival worthy or not. Our definition of archival-worthiness is:

    "If a conversation contains information that could be useful to other users, whether in the Slack channel or elsewhere, then it should be archived. These conversations have no determinate length and no need for objectivity. A conversation should be archived based on the availability and ease of identifying information that could help a person to gain useful software-related knowledge."

    Data Origin: Numerous public Slack chat channels (https://slack.com/) have recently become available that are focused on specific software engineering-related discussion topics, e.g., Python Development (https://pyslackers.com/web/slack). The data reflects a portion of the conversations on public channels related to Python, Clojure, Elm and Racket programming.

    Data Pre-Processing: To protect privacy, we replace usernames with fake names, and replace absolute times with relative times (in seconds). The conversations are disentangled from the overall chat stream with each unique thread in the dataset specifying a conversation in the channel. Archival-worthy conversations are marked with 1, while non-archival-worthy with 0.

  2. IBL WG Network Analysis: Slack user messages

    • figshare.com
    txt
    Updated Jul 3, 2020
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    Lauren Wool (2020). IBL WG Network Analysis: Slack user messages [Dataset]. http://doi.org/10.6084/m9.figshare.12608270.v1
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    txtAvailable download formats
    Dataset updated
    Jul 3, 2020
    Dataset provided by
    figshare
    Authors
    Lauren Wool
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table contains Slack messaging data from 41 IBL researchers (rows) to 13 different IBL Working Groups (columns), which is analyzed in the Google Colab Python notebook to generate a network graph (also part of this repository).Column labels can be found in the Python notebook. Row labels are not used; researcher identity is anonymized by normalizing each row as a proportion of each user's total message count.

  3. Street Map Web Service (GovHack 2017 Pilot) (Archived Oct 2017) - Dataset -...

    • data.sa.gov.au
    Updated Jun 27, 2017
    + more versions
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    data.sa.gov.au (2017). Street Map Web Service (GovHack 2017 Pilot) (Archived Oct 2017) - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/street-map
    Explore at:
    Dataset updated
    Jun 27, 2017
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Australia, South Australia
    Description

    GovHack 2017 Web service pilot - StreetMap A South Australian Street Basemap Service provides an underlying map with authoritative street locations and names. You can overlay other data on the street map in applications or analytics. The service provides the requested images and not the underlying data. A user can also use the basemap to coordinate a point location which can then be used to retrieve information via a location intersection service. Please read the user documentation published with this dataset record. A Location SA Data mentor will monitor the GovHack slack channel on the weekend for troubleshooting. This services will be free and active until 30 September 2017 (or the GovHack international Red Carpet Awards if after this date) to support the pilot and showcase GovHack concepts created using Location SA data services.

  4. l

    Street Map Web Service (GovHack 2017 Pilot) (Archived Oct 2017)

    • devweb.dga.links.com.au
    api, map viewer, pdf
    Updated May 4, 2025
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    Location SA (2025). Street Map Web Service (GovHack 2017 Pilot) (Archived Oct 2017) [Dataset]. https://devweb.dga.links.com.au/data/dataset/street-map
    Explore at:
    map viewer, api, pdfAvailable download formats
    Dataset updated
    May 4, 2025
    Dataset authored and provided by
    Location SA
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    GovHack 2017 Web service pilot - StreetMap A South Australian Street Basemap Service provides an underlying map with authoritative street locations and names. You can overlay other data on the street map in applications or analytics. The service provides the requested images and not the underlying data. A user can also use the basemap to coordinate a point location which can then be used to retrieve information via a location intersection service. Please read the user documentation published with this dataset record. A Location SA Data mentor will monitor the GovHack slack channel on the weekend for troubleshooting. This services will be free and active until 30 September 2017 (or the GovHack international Red Carpet Awards if after this date) to support the pilot and showcase GovHack concepts created using Location SA data services.

  5. d

    National ABS Census Boundaries Web Service (Pilot GovHack 2017) - Dataset -...

    • data.sa.gov.au
    Updated Jul 25, 2017
    + more versions
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    (2017). National ABS Census Boundaries Web Service (Pilot GovHack 2017) - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/national-abs-census-boundaries
    Explore at:
    Dataset updated
    Jul 25, 2017
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    South Australia
    Description

    This service identifies 2016 ABS census (ASGS) boundaries at a location coordinated point. Australian Statistical Geography Standard (ASGS) service is a point in a polygon. The boundary areas returned can be used as an additional layer over a basemap and can be used to perform analytics when mashed up with other statistical or spatial data. Please read the User documentation published with this record. A Location SA Data mentor will monitor the GovHack slack channel on the weekend for troubleshooting. This services will be free and active until 30 September 2017 (or the GovHack international Red Carpet Awards if after this date) to support the pilot and showcase GovHack concepts created using Location SA data services.

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    Learn how you can add new datasets to our index.

Share
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Click to copy link
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TBA (2020). Dataset for paper "Automatically Identifying Archival-worthy, Software-related Slack Conversations" [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3468558

Dataset for paper "Automatically Identifying Archival-worthy, Software-related Slack Conversations"

Explore at:
Dataset updated
Feb 7, 2020
Dataset authored and provided by
TBA
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This dataset consists of 2000 conversations from 5 programming related Q&A channels, hosted on Slack, and accompanies the paper "Automatically Identifying Archival-worthy, Software-related Slack Conversations". In addition to the text of the conversations, each conversation has been annotated as either archival worthy or not. Our definition of archival-worthiness is:

"If a conversation contains information that could be useful to other users, whether in the Slack channel or elsewhere, then it should be archived. These conversations have no determinate length and no need for objectivity. A conversation should be archived based on the availability and ease of identifying information that could help a person to gain useful software-related knowledge."

Data Origin: Numerous public Slack chat channels (https://slack.com/) have recently become available that are focused on specific software engineering-related discussion topics, e.g., Python Development (https://pyslackers.com/web/slack). The data reflects a portion of the conversations on public channels related to Python, Clojure, Elm and Racket programming.

Data Pre-Processing: To protect privacy, we replace usernames with fake names, and replace absolute times with relative times (in seconds). The conversations are disentangled from the overall chat stream with each unique thread in the dataset specifying a conversation in the channel. Archival-worthy conversations are marked with 1, while non-archival-worthy with 0.

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