Update README.md

README.md

@@ -1,142 +1,141 @@
 ---
 license: cc-by-4.0
 configs:
-  - config_name: lauzhack-2023
-    data_files:
-      - split: train
-        path: lauzhack-2023/train-*
-  - config_name: lauzhack-2024
-    data_files:
-      - split: train
-        path: lauzhack-2024/train-*
-  - config_name: lauzhack-2025
-    data_files:
-      - split: train
-        path: lauzhack-2025/train-*
-  - config_name: lauzhack-2025_lauzhack_projects
-    data_files:
-      - split: train
-        path: lauzhack-2025_lauzhack_projects/train-*
+- config_name: lauzhack-2023
+  data_files:
+  - split: train
+    path: lauzhack-2023/train-*
+- config_name: lauzhack-2024
+  data_files:
+  - split: train
+    path: lauzhack-2024/train-*
+- config_name: lauzhack-2025
+  data_files:
+  - split: train
+    path: lauzhack-2025/train-*
+- config_name: lauzhack-2025_lauzhack_projects
+  data_files:
+  - split: train
+    path: lauzhack-2025_lauzhack_projects/train-*
 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
-  - config_name: lauzhack-2025_lauzhack_projects
-    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
+- 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
+- config_name: lauzhack-2025_lauzhack_projects
+  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
 language:
-  - en
+- en
 tags:
-  - hackathon
-  - projects
-  - lauzhack
-  - switzerland
+- hackathon
+- projects
+- sdsc
 ---
 
 # LauzHack Projects Dataset
@@ -217,7 +216,7 @@ print(projects[0])
     "url": "https://devpost.com/software/...",
     "team": ["Alice Dupont", "Bob Mueller"],
     "awards": ["Best Use of AI"],
-    "categories": ["Machine Learning", "Education Tech"],
+    "categories": ["Machine Learning", "Education Tech", "Open Science"],
     "hackathon_name": "LauzHack 2025",
     "hackathon_year": 2025,
     "hackathon_location": "EPFL, Lausanne, Switzerland"
@@ -270,7 +269,7 @@ If you use this dataset, please cite:
 ```bibtex
 @dataset{lauzhack_projects_2026,
   author = {Tir Raazia, Eisha},
-  title = {LauzHack Projects Dataset 2023-2025},
+  title = {Hackalysis Dataset 2023-2025},
   year = {2026},
   license = {CC-BY-4.0},
   url = {https://huggingface.co/datasets/username/lauzhack-projects}
@@ -283,84 +282,10 @@ If you use this dataset, please cite:
 
 - [LauzHack Official Website](https://lauzhack.com/)
 - [EPFL Innovation Park](https://www.epfl.ch/)
-- [hackathon-analysis GitHub Repository](https://github.com/sdsc-ordes/open-pulse-hackathon-analysis)
+- [hackathon-analysis GitHub Repository](https://github.com/sdsc-ordes/open-pulse-hackalysis)
 
 ### Dataset Maintenance
 
-This dataset is maintained by the open-pulse-hackathon-analysis project and
-updated annually after each LauzHack event.
+This dataset is maintained by the open-pulse-hackalysis project
 
----
-
-## YAML Template Explanation (For Manual Implementation)
-
-If you were creating this from scratch, here's what each YAML section does:
-
-### 1. **License**
-
-```yaml
-license: cc-by-4.0
-```
-
-- Specifies the legal license for your dataset
-- Users must attribute you when using the data
-- Other options: `mit`, `apache-2.0`, `openrail`, etc.
-
-### 2. **Configs** (Most Important)
-
-```yaml
-configs:
-  - config_name: lauzhack-2023
-    data_files:
-      - split: train
-        path: lauzhack-2023/train-*
-```
-
-- Defines different dataset variations (different years here)
-- `config_name`: Users select this when loading
-  (`load_dataset(..., "lauzhack-2023")`)
-- `split`: Data partition (train/test/validation)
-- `path`: Where files are stored (supports glob patterns with `*`)
-
-### 3. **Dataset Info** (Describes the structure)
-
-```yaml
-dataset_info:
-  - config_name: lauzhack-2023
-    features:
-      - name: id
-        dtype: int64
-      - name: title
-        dtype: large_string
-```
-
-- Defines the schema (column names and types) for each configuration
-- `dtype` options: `int64`, `float32`, `large_string`, `bool`
-- `list: string` = array of strings
-- Helps Hugging Face validate your data
-- Pre-compute statistics (splits, num_examples, num_bytes, download_size)
-
-### 4. **Language**
-
-```yaml
-language:
-  - en
-```
-
-- ISO 639-1 code(s) for dataset language
-- Multi-language: `- en`, `- fr`, `- de`
-
-### Steps to Deploy Manually:
-
-1. **Create a Hugging Face Dataset account** at https://huggingface.co
-2. **Create new dataset repository** (private or public)
-3. **Prepare your data files**:
-   - Convert to Parquet format (recommended): `datasets.Dataset.to_parquet()`
-   - Or keep as CSV, JSON, etc.
-   - Upload to `/lauzhack-2023/train-*.parquet`, `/lauzhack-2024/...`, etc.
-4. **Create README.md** with this YAML frontmatter at the top
-5. **Push to Hub** via `git` or Hugging Face interface
-6. **Test loading** with `load_dataset("your-username/lauzhack-projects")`
-
-The YAML metadata helps the Hub automatically index, preview, and serve your
-dataset efficiently!
+---