Adding dataset card

README.md

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+---
+license: cc0-1.0
+task_categories:
+- text-classification
+- text-generation
+language:
+- en
+tags:
+- startups
+- y-combinator
+- companies
+- entrepreneurship
+- venture-capital
+pretty_name: Y Combinator Companies Dataset
+size_categories:
+- 1K<n<10K
+---
+
+# Y Combinator Companies Dataset
+
+## Dataset Description
+
+This dataset contains information about 5,404 Y Combinator funded companies that have been publicly launched, sourced from the YC-OSS-API.
+
+### Dataset Summary
+
+- **Total Companies**: 5,404
+- **Time Range**: Summer 2005 - Summer 2025
+- **Update Frequency**: Snapshot from August 2025
+- **Source**: [YC-OSS-API](https://github.com/yc-oss/api)
+
+## Dataset Structure
+
+### Data Fields
+
+- `id`: Unique identifier for each company
+- `name`: Company name
+- `slug`: URL-friendly company identifier
+- `former_names`: Previous company names (pipe-separated if multiple)
+- `website`: Company website URL
+- `all_locations`: Office locations
+- `one_liner`: Brief company description
+- `long_description`: Detailed company description
+- `team_size`: Number of employees
+- `industry`: Primary industry category
+- `subindustry`: Specific industry subcategory
+- `launched_at`: Unix timestamp of launch date
+- `tags`: Technology/market tags (pipe-separated)
+- `top_company`: Boolean indicating if it's a top YC company
+- `isHiring`: Current hiring status
+- `nonprofit`: Whether the company is a nonprofit
+- `batch`: YC batch (e.g., "Winter 2012")
+- `status`: Company status (Active, Acquired, Inactive, Public)
+- `industries`: Industry classifications (pipe-separated)
+- `regions`: Geographic regions (pipe-separated)
+- `stage`: Company stage (Early, Growth, etc.)
+- `url`: YC company profile URL
+- `api`: API endpoint for individual company data
+
+### Data Statistics
+
+- **Top Companies**: 91
+- **Currently Hiring**: 1,274
+- **Nonprofit Organizations**: 42
+- **Company Status Distribution**:
+  - Active
+  - Acquired
+  - Public
+  - Inactive
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("jeffboudier/yc-companies-august-2025")
+
+# Convert to pandas DataFrame
+df = dataset['train'].to_pandas()
+
+# Example: Find all AI companies
+ai_companies = df[df['tags'].str.contains('AI', case=False, na=False)]
+
+# Example: Get companies from specific batch
+winter_2024 = df[df['batch'] == 'Winter 2024']
+
+# Example: Currently hiring companies
+hiring = df[df['isHiring'] == True]