[WIP] Add TrueQuery QA Generation

[askliar]

This PR introduces QA generation procedure, a comprehensive LLM-powered pipeline for generating high-quality question-answer pairs from text documents. The system is designed to create training data for retrieval-augmented generation (RAG) systems and question-answering models.

[puririshi98]

first step, address whatever complaints the CI linter has: https://results.pre-commit.ci/run/github/106024057/1765827433.VRbWJ22KTYipZNbGq422sQ
and update the changelog:
https://github.com/askliar/pytorch_geometric/blob/master/CHANGELOG.md

[puririshi98]

upon quick review no glaring issues. Looking forward to the final restructuring before reviewing deeper and also involving Vibhor for review.
One thing i would ask is that when the final restructuring is done, please attach a log w a succesful run of the full example in the latest pyg container: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pyg/tags

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 81.35%. Comparing base (c211214) to head (9919739).
⚠️ Report is 142 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #10559      +/-   ##
==========================================
- Coverage   86.11%   81.35%   -4.76%     
==========================================
  Files         496      511      +15     
  Lines       33655    37615    +3960     
==========================================
+ Hits        28981    30603    +1622     
- Misses       4674     7012    +2338     

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