--- 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 ---