Allow `vllm_infer` to return `None` for failed JSON parsing results,
clarifying the sequence index for such failures. This enables
`LLMCleaningStrategy` to robustly align parsed LLM scores with original data,
correctly handling examples where JSON parsing failed by assigning a default
score of 0.
Adds an option to disable data cleaning during training setup.
Refactors dataset management to consistently append '-vl' for vision-language
datasets and dynamically name cleaned datasets (e.g., 'dataset-cleaned').
Enforces vLLM as a strict dependency for LLM-based data cleaning, exiting if
unavailable. Integrates 'enable_thinking' option for LLM cleaning and enables
cleaning by default in relevant test configurations.
Adds torchvision dependency for vision models and streamlines the cleaning call
in training to centralize decision-making.
xhrxgr