Implementation:Open compass VLMEvalKit SFE
Appearance
| Field | Value |
|---|---|
| source | VLMEvalKit |
| domain | Vision, Benchmarking, Science Education |
Overview
Benchmark dataset implementation for SFE evaluation in VLMEvalKit.
Description
SFE inherits from ImageVQADataset and implements the SFE benchmark for science and education evaluation. It inherits the TYPE 'VQA' from its parent class. It supports English (SFE) and Chinese (SFE-zh) variants with discipline-specific MCQ prompts.
Usage
Registered in vlmeval/dataset/__init__.py and invoked through build_dataset() by benchmark name.
Code Reference
- Source:
vlmeval/dataset/sfebench.py, Lines: L1-220 - Import:
from vlmeval.dataset.sfebench import SFE
Signature:
class SFE(ImageVQADataset):
TYPE = '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('SFE')
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