Update pyproject.toml

Update datasets dependency in pyproject.toml to allow for newer versi…
…ons (>=2.16.1).

[Fix] add more model examples (#644)
* Update OpenAI compatibility script for Azure integration
- Set environment variables for Azure OpenAI API configuration.
- Modify model arguments to use the new GPT-4o model version and enable Azure OpenAI support.
- Clean up commented installation instructions for clarity.
* Refactor imports and clean up code in various utility files
- Consolidated import statements in `plm.py` and `utils.py` for better organization.
- Removed redundant blank lines in `eval_utils.py`, `fgqa_utils.py`, `rcap_utils.py`, `rdcap_utils.py`, `rtloc_utils.py`, and `sgqa_utils.py` to enhance readability.
- Ensured consistent import structure across utility files for improved maintainability.
* Update README and add example scripts for model evaluations
- Revised installation instructions to facilitate direct package installation from Git.
- Added detailed usage examples for various models including Aria, LLaVA, and Qwen2-VL.
- Introduced new example scripts for model evaluations, enhancing user guidance for running specific tasks.
- Improved clarity in environmental variable setup and common issues troubleshooting sections.
* Update README to reflect new example script locations and remove outdated evaluation instructions
- Changed paths for model evaluation scripts to point to the new `examples/models` directory.
- Added a note directing users to find more examples in the updated location.
- Removed outdated evaluation instructions for LLaVA on multiple datasets to streamline the documentation.
* Update README to reflect new script locations and enhance evaluation instructions
- Replaced outdated evaluation commands with new script paths in the `examples/models` directory.
- Updated sections for evaluating larger models, including the introduction of new scripts for tensor parallel and SGLang evaluations.
- Streamlined instructions for model evaluation to improve clarity and usability.

[Fix] Regular Linting
- Added missing comma in AVAILABLE_MODELS for consistency.
- Reordered import statements in vora.py for better readability.
- Simplified input_data generation by condensing method calls into a single line.
- Ensured default generation parameters are set correctly in the VoRA class.

Update README.md

Merge pull request #432 from EvolvingLMMs-Lab/pufanyi/pypi_0.3.0
PyPI 0.3.0

[Feat] Add support for evaluation of InternVideo2-Chat && Fix evaluat…
…ion for mvbench (#280)
* [add] add internvideo2 support && change mvbench to video branch
* [add] answer_prompt of internvideo2
* [add] change video type of internvideo2
* [fix] update template of mvbench
* [reformat]
* [fix] generate_until_multi_round
* [Feat] videochat2 support
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Co-authored-by: heyinan <heyinan@pjlab.org.cn>

Merge pull request #226 from EvolvingLMMs-Lab/dev/quick-fix-wandb
fix: fix wrong args in wandb logger

Update README.md

Merge pull request #184 from EvolvingLMMs-Lab/pufanyi/pypi/0.2.2
New pypi