5 datasets found
  1. spamdata

    • kaggle.com
    Updated Oct 22, 2022
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    liangqile (2022). spamdata [Dataset]. https://www.kaggle.com/datasets/liangqile/spamdata
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 22, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    liangqile
    Description

    Dataset

    This dataset was created by liangqile

    Contents

  2. spamdata

    • kaggle.com
    Updated Nov 27, 2022
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    Premanand Naik (2022). spamdata [Dataset]. https://www.kaggle.com/prem134/spamdata/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 27, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Premanand Naik
    Description

    Dataset

    This dataset was created by Premanand Naik

    Contents

  3. Data from: Spam email Dataset

    • kaggle.com
    Updated Sep 1, 2023
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    _w1998 (2023). Spam email Dataset [Dataset]. https://www.kaggle.com/datasets/jackksoncsie/spam-email-dataset
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 1, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    _w1998
    License

    http://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html

    Description

    Dataset Name: Spam Email Dataset

    Description: This dataset contains a collection of email text messages, labeled as either spam or not spam. Each email message is associated with a binary label, where "1" indicates that the email is spam, and "0" indicates that it is not spam. The dataset is intended for use in training and evaluating spam email classification models.

    Columns:

    text (Text): This column contains the text content of the email messages. It includes the body of the emails along with any associated subject lines or headers.

    spam_or_not (Binary): This column contains binary labels to indicate whether an email is spam or not. "1" represents spam, while "0" represents not spam.

    Usage: This dataset can be used for various Natural Language Processing (NLP) tasks, such as text classification and spam detection. Researchers and data scientists can train and evaluate machine learning models using this dataset to build effective spam email filters.

  4. f

    Physical Area by crop - MapSPAM (Global)

    • data.apps.fao.org
    Updated Sep 7, 2020
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    (2020). Physical Area by crop - MapSPAM (Global) [Dataset]. https://data.apps.fao.org/map/catalog/static/search?keyword=HiH_MAPSPAM
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    Dataset updated
    Sep 7, 2020
    Description

    This dataset is one of the key indicators of the Global Spatially-Disaggregated Crop Production Statistics Data (MapSPAM) for 2010, which includes harvested area, production and yield, for 42 crops — disaggregated at the input-levels (e.g., irrigated/rainfed and high/low-input) on a 10 km grid globally. This new version of MapSPAM, available to download from the Harvard Dataverse Website, marks the third generation of the SPAM data series, following those of 2000 and 2005. Unit of measure: Physical area for each crop and technology: ha More information on the production systems and selected crops is available in the Global Spatially-Disaggregated Crop Production Statistics Data (MapSPAM) full metadata at https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/59f7a5ef-2be4-43ee-9600-a6a9e9ff562a

  5. f

    Global Spatially-Disaggregated Crop Production Statistics Data for 2010...

    • data.apps.fao.org
    Updated Sep 7, 2020
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    (2020). Global Spatially-Disaggregated Crop Production Statistics Data for 2010 (MAPSPAM) [Dataset]. https://data.apps.fao.org/map/catalog/static/search?keyword=HiH_MAPSPAM
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    Dataset updated
    Sep 7, 2020
    Description

    IFPRI’s Spatial Data and Analytics team, supported by CGIAR Platform for Big Data in Agriculture, has published a new version of Global Spatially-Disaggregated Crop Production Statistics Data (also known as Spatial Production Allocation Mode, or SPAM) for 2010. This new version of MapSPAM, available to download from the Harvard Dataverse Website, marks the third generation of the SPAM data series, following those of 2000 and 2005. SPAM provides key crop production indicators, including physical area, harvest area, production and yield, for 42 crops — disaggregated at the input-levels (e.g., irrigated/rainfed and high/low-input) on 10 km grids globally. The production and harvested area values are also given for each technology aggregated by categories - crops/food/non-food - with no information on individual crops. More information on the production systems and selected crops is available in the Distribution and Data Quality sections of this metadata. Citation: International Food Policy Research Institute, 2019, “Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 1.1”, https://doi.org/10.7910/DVN/PRFF8V, Harvard Dataverse, V3.

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liangqile (2022). spamdata [Dataset]. https://www.kaggle.com/datasets/liangqile/spamdata
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spamdata

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40 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Oct 22, 2022
Dataset provided by
Kagglehttp://kaggle.com/
Authors
liangqile
Description

Dataset

This dataset was created by liangqile

Contents

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