Implementation:Open compass VLMEvalKit MMBenchVideo
Appearance
| Field | Value |
|---|---|
| source | VLMEvalKit |
| domain | Vision, Benchmarking, Video VQA |
Overview
Benchmark dataset implementation for MMBench-Video evaluation in VLMEvalKit.
Description
MMBenchVideo inherits from VideoBaseDataset and implements the MMBench-Video benchmark for video visual question answering. The TYPE field is set to 'Video-VQA'. It supports pack and no-pack modes with different prompt templates for single and multiple questions.
Usage
Registered in vlmeval/dataset/__init__.py and invoked through build_dataset() by benchmark name.
Code Reference
- Source:
vlmeval/dataset/mmbench_video.py, Lines: L1-257 - Import:
from vlmeval.dataset.mmbench_video import MMBenchVideo
Signature:
class MMBenchVideo(VideoBaseDataset):
TYPE = 'Video-VQA'
DATASET_URL = {...}
DATASET_MD5 = {...}
...
I/O Contract
| Direction | Description |
|---|---|
| Inputs | TSV dataset file with image/video paths and questions |
| Outputs | Evaluation results DataFrame with scores per category |
Usage Examples
from vlmeval.dataset import build_dataset
dataset = build_dataset('MMBench-Video')
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