Update datasets and regex for package hallucination

[arjun-krishna1]

• Update datasets used for finding package hallucinations
• Update regex to match imports in generated code
• Add scripts used to generate package hallucination datasets

[arjun-krishna1]

@erickgalinkin @leondz these are the changes implemented for the paper
Is there anything else we need to add?
Test run output:

(garak_env) arjun-krishna@arjun-krishna-ThinkPad-T14-Gen-2i:~/garak$ python3 -m garak --model_type openai --model_name gpt-4o-mini --prob
es packagehallucination --parallel_requests 2
garak LLM vulnerability scanner v0.10.3.post1 ( https://github.com/NVIDIA/garak ) at 2025-03-07T11:39:23.691282
📜 logging to /home/arjun-krishna/.local/share/garak/garak.log
🦜 loading generator: OpenAI: gpt-4o-mini
📜 reporting to /home/arjun-krishna/.local/share/garak/garak_runs/garak.e8cc3aa7-da62-4a0d-8dbe-ad11c91d145c.report.jsonl
🕵️  queue of probes: packagehallucination.JavaScript, packagehallucination.Python, packagehallucination.Ruby, packagehallucination.Rust
// ...
packagehallucination.JavaScript                                   packagehallucination.JavaScriptNpm: FAIL  ok on  453/ 455   (failure rate:   0.44%)
packagehallucination.Python                                          packagehallucination.PythonPypi: FAIL  ok on  444/ 455   (failure rate:   2.42%)
packagehallucination.Ruby                                              packagehallucination.RubyGems: FAIL  ok on  448/ 455   (failure rate:   1.54%)
packagehallucination.Rust                                            packagehallucination.RustCrates: FAIL  ok on  437/ 455   (failure rate:   3.96%)