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Synthetic multilingual accommodation review data generator for Hack4Her travel-safety prototypes.

Project description

Hack4Her Review Data Terminal

Run the Hack4Her synthetic review-data generator from the terminal with:

uvx hack4her-review-data

This opens the Booking.com Hack4Her terminal UI. From there you can generate participant-ready mock accommodation reviews, choose record counts from 1k to 10k, select scenarios, and create public datasets with a 10% labeled golden sample.

All generated reviews are synthetic mock data. They are not real Booking.com reviews and must not be treated as real safety ratings for any property or location.

Install What You Need

You only need uv. It can run the package in an isolated environment and manage Python for you.

macOS

curl -LsSf https://astral.sh/uv/install.sh | sh

Close and reopen your terminal, then check:

uv --version

Linux

curl -LsSf https://astral.sh/uv/install.sh | sh

Close and reopen your terminal, then check:

uv --version

Windows PowerShell

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Close and reopen PowerShell, then check:

uv --version

Windows users can also install with WinGet:

winget install --id=astral-sh.uv -e

Run

Open the visual terminal:

uvx hack4her-review-data

Generate the default starter pack directly:

uvx hack4her-review-data starter --records 1000

Show available scenarios:

uvx hack4her-review-data scenarios

Check your setup:

uvx hack4her-review-data doctor

Output

Generated files are written to:

data_output_generated/

For public participant datasets, the main file hides organizer/evaluation labels and a separate _golden_10pct file includes labels for 10% of rows.

Credits

Engineers who worked on the development of this tool:

  • Behrouz Pooladrak
  • Lalith Sai Swaroop

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