metadata
license: cc-by-4.0
configs:
- config_name: lauzhack-2023
data_files:
- split: train
path: lauzhack-2023/*.parquet
- config_name: lauzhack-2024
data_files:
- split: train
path: lauzhack-2024/*.parquet
- config_name: lauzhack-2025
data_files:
- split: train
path: lauzhack-2025/*.parquet
dataset_info:
- config_name: lauzhack-2023
features:
- name: id
dtype: int64
- name: title
dtype: large_string
- name: description
dtype: large_string
- name: url
dtype: large_string
- name: team
list: string
- name: awards
list: string
- name: categories
list: string
- name: hackathon_name
dtype: large_string
- name: hackathon_year
dtype: int64
- name: hackathon_location
dtype: large_string
splits:
- name: train
num_bytes: 22974
num_examples: 67
download_size: 18646
dataset_size: 22974
- config_name: lauzhack-2024
features:
- name: id
dtype: int64
- name: title
dtype: large_string
- name: description
dtype: large_string
- name: url
dtype: large_string
- name: team
list: string
- name: awards
list: string
- name: categories
list: string
- name: hackathon_name
dtype: large_string
- name: hackathon_year
dtype: int64
- name: hackathon_location
dtype: large_string
splits:
- name: train
num_bytes: 28812
num_examples: 79
download_size: 21747
dataset_size: 28812
- config_name: lauzhack-2025
features:
- name: id
dtype: int64
- name: title
dtype: large_string
- name: description
dtype: large_string
- name: url
dtype: large_string
- name: team
list: string
- name: awards
list: string
- name: categories
list: string
- name: hackathon_name
dtype: large_string
- name: hackathon_year
dtype: int64
- name: hackathon_location
dtype: large_string
splits:
- name: train
num_bytes: 39525
num_examples: 67
download_size: 28942
dataset_size: 39525
tags:
- hackathon
- projects
- sdsc
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:
| Field | Type | Description |
|---|---|---|
id |
int64 | Unique identifier for the project |
title |
string | Project title/name |
description |
string | Project description and overview |
url |
string | Link to the project (Devpost, GitHub, or project website) |
team |
list[string] | List of team member names |
awards |
list[string] | Awards/prizes won by the project |
categories |
list[string] | Project categories (e.g., "Best AI", "Most Creative") |
hackathon_name |
string | Name of the hackathon event |
hackathon_year |
int64 | Year the hackathon took place |
hackathon_location |
string | Location 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
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
{
"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:
@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