Datasets:
Download README.txt from FranchiseDepth/franchise-database-sample: direct link, hf CLI and curl.
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- Download file 3.72 kB
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https://huggingface.co/datasets/FranchiseDepth/franchise-database-sample/resolve/main/README.txt
- Command line
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hf download hf://datasets/FranchiseDepth/franchise-database-sample/README.txt
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curl -L -o README.txt https://huggingface.co/datasets/FranchiseDepth/franchise-database-sample/resolve/main/README.txt
3.72 kB
| FRANCHISEDEPTH FDD DATABASE: START HERE | |
| Free sample (25 brands). Compiled 2026-11-01. 25 franchise brands. | |
| Every figure comes from, or is calculated from, each brand's latest Franchise Disclosure | |
| Document (FDD) as filed with a US state. Information only, not financial or legal advice. | |
| 1. UNZIP THE FILE | |
| Right-click the zip and choose "Extract all" (Windows) or double-click it (Mac). | |
| Inside you'll find: | |
| - franchisedepth.xlsx Excel workbook: every table as a tab, plus a Compare tab | |
| - brand_summary.csv one row per brand with the key figures | |
| - franchisedepth.sqlite the full database, for SQL and AI tools | |
| - csv/ parquet/ each table as its own file | |
| - profiles/ one readable page per brand | |
| - profiles_by_industry/ the same pages, grouped by industry | |
| - AI_GUIDE.md how to use the data with ChatGPT, Claude, Gemini, Grok and others | |
| - AI_INSTRUCTIONS.txt instructions to paste into any AI assistant | |
| - AGENTS.md what every column means and how each figure is calculated | |
| - example_queries.sql ready-made SQL questions | |
| - mcp/ connector for Claude Desktop and other MCP apps | |
| - LICENSE.txt what your licence allows | |
| Complete database only: alternatives (similar brands), peer_ranks (how each brand ranks against | |
| its peers) and value_ratios (revenue relative to investment and royalty). | |
| 2. LOOK AT IT IN EXCEL OR GOOGLE SHEETS | |
| - Open franchisedepth.xlsx. Each tab is one table; brands is one row per brand. | |
| - Compare tab: pick up to five brands from the drop-downs in row 2 (use the brand | |
| codes shown in the brands tab, such as "subway"). The figures fill in below. | |
| - Google Sheets: File > Import > Upload, and choose brand_summary.csv or | |
| franchisedepth.xlsx. | |
| 3. ASK AN AI ASSISTANT | |
| - Upload brand_summary.csv to ChatGPT, Claude, Gemini, Grok, Copilot or Perplexity. | |
| - Paste the text of AI_INSTRUCTIONS.txt as your first message. | |
| - Ask your question, for example: "Which food brands under $300,000 to open have the | |
| lowest closure rate? Show a table with the FDD year for each." | |
| - For a custom GPT, Gem or Project, and for which files to use, see AI_GUIDE.md. | |
| 4. CONNECT IT TO CLAUDE DESKTOP (OPTIONAL, LIVE SQL) | |
| a. Install uv: https://docs.astral.sh/uv/ | |
| b. In Claude Desktop open Settings > Developer > Edit config, and add (with your own | |
| folder path): | |
| {"mcpServers": {"franchisedepth": {"command": "uv", "args": ["run", "--with", "mcp", "python", | |
| "C:/path/to/mcp/franchisedepth_mcp.py", "C:/path/to/franchisedepth.sqlite"]}}} | |
| c. Restart Claude Desktop. Ask: "Using franchisedepth, which quick-service brands have | |
| the highest comparable revenue?" The connector is read-only. | |
| 5. USE SQL (OPTIONAL) | |
| - Free app: DB Browser for SQLite (https://sqlitebrowser.org). Open franchisedepth.sqlite. | |
| - Run the questions in example_queries.sql, or write your own. Join tables on brand_slug. | |
| - SELECT * FROM column_docs; lists what every column means. | |
| 6. GOOD TO KNOW | |
| - Blank means not disclosed, not zero. | |
| - older_fdd = 1 marks brands whose latest FDD on file is from 2022 or earlier. | |
| - Rows with an edition_note are not the brand's standard unit-franchise offer. | |
| - Revenue is not profit. | |
| 7. UPDATES, LICENCE AND HELP | |
| - Corrected files for this edition are free: download again from your Gumroad library | |
| (gumroad.com/library) to get the latest. | |
| - Your licence is shown on your receipt; LICENSE.txt has the terms. | |
| - A damaged file or a question: message us through Gumroad. | |