Batch Runner and Data Download Support for Open Bell Validation

[divyang4481]

This PR implements a new batch runner for the X-Theta open data validation pipeline and adds robust data acquisition capabilities.

Key changes:

1. Batch Runner: Added xtheta-lab/scripts/run_all_open_data_validation.py which can process multiple Bell-test datasets and generate a consolidated comparison CSV.
2. Download & Cache Logic: Enhanced the Hensen data adapter with a download_hensen_data function. If the raw data is missing from the canonical path (xtheta-lab/data/open_bell/hensen/raw/bell_open_data.txt), it attempts to download it from a remote source or fallback to the repository root.
3. Pipeline Integration: Updated the standard runner run_open_data_validation.py to perform a "pre-flight" check and trigger the download/cache logic if needed.
4. Data Organization: Established the canonical directory structure for open Bell datasets.
5. Dependencies: Added requests to the project requirements.

These changes streamline the validation process and make the research stack more resilient to missing local data artifacts.

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PR created automatically by Jules for task 10764553834748731648 started by @divyang4481

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