Release v1.2.2

Major Updates

• 🧪 Add document for API service. Add parameter transmission using json.dumps to support API calls for arbitrary registration functions and classes. #613
• 🚀 Add unit tests for the analysis module and utils module to increase test coverage. #604 #616
• A new data synthesis method is proposed, which encourages LLMs to self-generate challenging cognitive questions, achieving superior data efficiency, cross-modality generalization, and SFT effects over SOTA baselines (e.g., 16% gain on MathVision using only 400 samples). See more details in MindGym: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions.

New OPs

• llm_quality_score_filter: Filter to keep sample with high quality score estimated by LLM, standing for API calling and local VLLM calling. #606 #614 #620
• llm_difficulty_score_filter: Filter to keep sample with high difficulty score estimated by LLM, standing for API calling and local VLLM calling. #606 #614 #620

Others

• Fix config in LLaVa pretrain recipe. #610
• Update news for MindGYM and fix doc. #615
• Fix decode error through UTF-8 decoding. #618