Comments (3)
Hi @ShiYaya,
Thank you for your interest in our work. The original Human Annotated annotations are available at https://huggingface.co/datasets/MBZUAI/VCGBench-Diverse/blob/main/human_annotated_video_descriptions/vcgbench_diverse_human_annotated_descriptions.json for VCGBench-Diverse.
I hope it will help. Thank you and please let me know if you have any questions.
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Thank you very much for your reply. I have another question. Where is the “Detailed Video Descriptions” that VCG-plus 112K is based on?
from videogpt-plus.
Thank you very much for your reply. I have another question. Where is the “Detailed Video Descriptions” that VCG-plus 112K is based on?
I have found it in there!!
https://huggingface.co/datasets/MBZUAI/video_annotation_pipeline
from videogpt-plus.
Related Issues (20)
- Performance on MVBench HOT 8
- are you planning to relase the inference codes for VideoGPT-plus_LLaMA3-8B-8k and/or VideoGPT-plus_Vicuna-7B-4k HOT 1
- The webm file from ssv2 can not be loaded HOT 3
- Simple Demo HOT 3
- eval/vcgbench/inference/run_ddp_inference.sh HOT 1
- About pre-training stage. HOT 2
- In what order should I reproduce the paper? HOT 6
- About downloading the datatset? HOT 1
- Question about Training Time HOT 1
- Intermediate descriptions for vcg-plus_112k
- Phi3Model ImportError HOT 2
- You are using a model of type phi3 to instantiate a model of type VideoGPT+. This is not supported for all configurations of models and can yield errors.
- “python setup.py install” for flash-attention reports errors HOT 1
- Where can I find the dense captions for the 112K videos?
- Support for Multi-turn Conversations with Fixed Video Input?
- Inquiry about Costs Associated with Video LLM Benchmarks
- Zero-shot QA evaluation
- Issue of garbled text HOT 2
- Question about Dataset
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