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---
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
```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
- [LauzHack Official Website](https://lauzhack.com/)
- [EPFL Innovation Park](https://www.epfl.ch/)
- [hackathon-analysis GitHub Repository](https://github.com/sdsc-ordes/open-pulse-hackalysis)
### Dataset Maintenance
This dataset is maintained by the open-pulse-hackalysis project
---