metadata
license: mit
task_categories:
- text-to-image
language:
- en
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: test
path: test.jsonl
Pick-a-Pic v1 — test_unique prompts
The 500 unique prompts from the test_unique split of
Pick-a-Pic v1,
extracted for use as a text-to-image generation prompt set.
This is the split used for the held-out evaluation in the PickScore paper (Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation).
Contents
| file | description |
|---|---|
test.jsonl |
500 records: {"id": int, "prompt": str} |
prompts.txt |
the same 500 prompts, one per line |
Images and human preference labels are not included — only the prompts. For the full data (paired images + preference labels) use the original dataset.
Usage
from datasets import load_dataset
ds = load_dataset("Jialuo21/pickapic-test", split="test")
print(len(ds)) # 500
print(ds[0]["prompt"]) # 'A curious cat exploring a haunted mansion'
Source
Extracted from the public mirror
pickapic-anonymous/pickapic_v1
(test_unique split, 500 rows, all prompts unique).
Citation
@inproceedings{kirstain2023pickapic,
title = {Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation},
author = {Kirstain, Yuval and Polyak, Adam and Singer, Uriel and
Matiana, Shahbuland and Penna, Joe and Levy, Omer},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
year = {2023}
}