3 datasets found
  1. Shell Hackathon HackerEarth Dataset

    • kaggle.com
    Updated Oct 20, 2021
    + more versions
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    Aishik Rakshit (2021). Shell Hackathon HackerEarth Dataset [Dataset]. https://www.kaggle.com/datasets/aishikai/shell-hackathon-hackerearth-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 20, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aishik Rakshit
    Description

    Dataset

    This dataset was created by Aishik Rakshit

    Contents

  2. Shell Waste to Energy Dataset

    • kaggle.com
    Updated Mar 5, 2024
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    Ohagwu Collins Patrick (2024). Shell Waste to Energy Dataset [Dataset]. https://www.kaggle.com/datasets/ohagwucollinspatrick/shell-ai-waste-to-energy-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 5, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ohagwu Collins Patrick
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset is from the fourth edition of the Shell.ai Hackathon for Sustainable and Affordable Energy, a platform that brings together brilliant minds passionate about digital solutions and AI, to tackle real energy challenges and help build a lower-carbon world.

    Dataset description

    The dataset contains the following:

    Biomass_History.csv: The time-series of biomass availability in the state of Gujarat, spanning from 2010 to 2017, is presented. The analysis takes into account the arable land, depicted as a map comprising 2418 uniformly sized grid blocks, which represent distinct harvesting sites. To enhance usability, the map has been flattened, accompanied by essential information such as location index, latitude, longitude, and year-specific biomass availability for each of the harvesting sites.

    Distance_Matrix.csv: The travel distance between the source grid block and the destination grid block is encapsulated within a matrix of dimensions 2418 by 2418. It's important to note that this matrix is not symmetric owing to factors such as U-turns and one-way routes, which contribute to variations in distances for journeys from source to destination as opposed to journeys from destination to source.

    sample_submission.csv: Contains sample format for submission

    Download the Problem Statement Here

  3. ShellHackathon

    • kaggle.com
    zip
    Updated Oct 18, 2021
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    abhishek (2021). ShellHackathon [Dataset]. https://www.kaggle.com/abhi891/shellhackathon
    Explore at:
    zip(3474149704 bytes)Available download formats
    Dataset updated
    Oct 18, 2021
    Authors
    abhishek
    Description

    Dataset

    This dataset was created by abhishek

    Contents

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Share
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Click to copy link
Link copied
Close
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Aishik Rakshit (2021). Shell Hackathon HackerEarth Dataset [Dataset]. https://www.kaggle.com/datasets/aishikai/shell-hackathon-hackerearth-dataset
Organization logo

Shell Hackathon HackerEarth Dataset

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Oct 20, 2021
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Aishik Rakshit
Description

Dataset

This dataset was created by Aishik Rakshit

Contents

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