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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](https://huggingface.co/datasets/yuvalkirstain/pickapic_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](https://arxiv.org/abs/2305.01569)
(*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
```python
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`](https://huggingface.co/datasets/pickapic-anonymous/pickapic_v1)
(`test_unique` split, 500 rows, all prompts unique).
## Citation
```bibtex
@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}
}
```
|