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SDSC/open-pulse-hackathon-data-analysis

LauzHack Projects Dataset Dataset Summary This dataset contains comprehensive information about projects submitted to LauzHack (EPFL's student-run hackathon) from 2023 to 2025. Each project includes details about the project title, description, team members, awards, and categories. LauzHack is an annual 24-hour hackathon hosted at EPFL (École Polytechnique Fédérale de Lausanne) in Lausanne, Switzerland, bringing together students and hackers to create innovative… See the full description on the dataset page: https://huggingface.co/datasets/SDSC/open-pulse-hackathon-data-analysis.

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LauzHack Projects Dataset

Dataset Summary

This dataset contains comprehensive information about projects submitted to LauzHack (EPFL's student-run hackathon) from 2023 to 2025. Each project includes details about the project title, description, team members, awards, and categories.

LauzHack is an annual 24-hour hackathon hosted at EPFL (École Polytechnique Fédérale de Lausanne) in Lausanne, Switzerland, bringing together students and hackers to create innovative solutions within a short timeframe.

Dataset Details

  • —License: CC-BY 4.0 (Creative Commons Attribution)
  • —Language: English
  • —Data Source: LauzHack official website and event submissions
  • —Last Updated: February 2026

Dataset Structure

Data Instances

Each instance represents a single hackathon project submission with the following fields:

FieldTypeDescription
idint64Unique identifier for the project
titlestringProject title/name
descriptionstringProject description and overview
urlstringLink to the project (Devpost, GitHub, or project website)
teamlist[string]List of team member names
awardslist[string]Awards/prizes won by the project
categorieslist[string]Project categories (e.g., "Best AI", "Most Creative")
hackathon_namestringName of the hackathon event
hackathon_yearint64Year the hackathon took place
hackathon_locationstringLocation of the hackathon

Data Splits

The dataset is available in multiple configurations (subsets) for different years:

  • —lauzhack-2023: 67 projects from LauzHack 2023
  • —lauzhack-2024: 79 projects from LauzHack 2024
  • —lauzhack-2025: 67 projects from LauzHack 2025

Usage

Loading the Dataset

python
from datasets import load_dataset

# Load a specific year's data
dataset = load_dataset("username/lauzhack-projects", "lauzhack-2025")

# Access the training split
projects = dataset["train"]

# View a sample project
print(projects[0])

Example Project

python
{
    "id": 1,
    "title": "AI-Powered Study Assistant",
    "description": "An AI chatbot designed to help students with course material...",
    "url": "https://devpost.com/software/...",
    "team": ["Alice Dupont", "Bob Mueller"],
    "awards": ["Best Use of AI"],
    "categories": ["Machine Learning", "Education Tech", "Open Science"],
    "hackathon_name": "LauzHack 2025",
    "hackathon_year": 2025,
    "hackathon_location": "EPFL, Lausanne, Switzerland"
}

Dataset Creation

Data Collection

Projects were extracted from the LauzHack official website using web scraping techniques. The data includes all publicly submitted projects from past events.

Data Processing

  • —Projects are cleaned and deduplicated
  • —Team members and awards are extracted into list structures
  • —URLs are validated and normalized
  • —Text fields are preserved in their original language

Considerations for Using the Data

Intended Use

  • —Academic Research: Student hackathon trends, innovation patterns
  • —Career Analysis: Skills and technologies used in recent projects
  • —Event Organization: Understanding project scope and diversity
  • —Machine Learning: Training models for project classification and recommendation

Known Limitations

  • —Only includes publicly available project data
  • —Some projects may have incomplete information (missing descriptions, URLs, or award data)
  • —Team member names as submitted (may include pseudonyms)
  • —Hackathon location fixed as EPFL; some projects may have had distributed teams

Ethical Considerations

  • —All data is from public hackathon submissions
  • —Licensed under CC-BY 4.0 (attribution required)
  • —No personal information beyond team member names included
  • —Respects original project creators' intellectual property

Citation

If you use this dataset, please cite:

bibtex
@dataset{lauzhack_projects_2026,
  author = {Tir Raazia, Eisha},
  title = {Hackalysis Dataset 2023-2025},
  year = {2026},
  license = {CC-BY-4.0},
  url = {https://huggingface.co/datasets/username/lauzhack-projects}
}

Additional Information

Related Resources

Dataset Maintenance

This dataset is maintained by the open-pulse-hackalysis project