2.4 KiB
2.4 KiB
TIFA-160
Overview
TIFA-160 is a text-to-image benchmark with 160 carefully curated prompts designed to evaluate the faithfulness and quality of generated images using automated VQA-based evaluation.
Task Description
- Task Type: Text-to-Image Generation Evaluation
- Input: Text prompt for image generation
- Output: Generated image evaluated using PickScore metric
- Size: 160 prompts
Key Features
- Compact, high-quality prompt set for efficient evaluation
- Uses PickScore for human preference alignment
- Tests diverse image generation capabilities
- Supports both new generation and pre-existing image evaluation
- Reproducible evaluation pipeline
Evaluation Notes
- Default configuration uses 0-shot evaluation
- Primary metric: PickScore for human preference alignment
- Evaluates images from the test split
- Part of the T2V-Eval-Prompts dataset collection
Properties
| Property | Value |
|---|---|
| Benchmark Name | tifa160 |
| Dataset ID | AI-ModelScope/T2V-Eval-Prompts |
| Paper | N/A |
| Tags | TextToImage |
| Metrics | PickScore |
| Default Shots | 0-shot |
| Evaluation Split | test |
Data Statistics
| Metric | Value |
|---|---|
| Total Samples | 160 |
| Prompt Length (Mean) | 56.13 chars |
| Prompt Length (Min/Max) | 13 / 182 chars |
Sample Example
Subset: TIFA-160
{
"input": [
{
"id": "9de3e3b1",
"content": "A Christmas tree with lights and teddy bear"
}
],
"id": 0,
"group_id": 0,
"metadata": {
"prompt": "A Christmas tree with lights and teddy bear",
"category": "",
"tags": {},
"id": "TIFA160_0",
"image_path": ""
}
}
Prompt Template
No prompt template defined.
Usage
Using CLI
evalscope eval \
--model YOUR_MODEL \
--api-url OPENAI_API_COMPAT_URL \
--api-key EMPTY_TOKEN \
--datasets tifa160 \
--limit 10 # Remove this line for formal evaluation
Using Python
from evalscope import run_task
from evalscope.config import TaskConfig
task_cfg = TaskConfig(
model='YOUR_MODEL',
api_url='OPENAI_API_COMPAT_URL',
api_key='EMPTY_TOKEN',
datasets=['tifa160'],
limit=10, # Remove this line for formal evaluation
)
run_task(task_cfg=task_cfg)