datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ad-creative-quality-human-vs-llm
Human Expert vs LLM Judge: Facebook Ad Creative Quality
500 real Facebook ads from 253 advertisers, each rated for creative quality by a human ad expert AND by a vision LLM — with the LLM's full reasoning.
The headline finding baked into this data: the human and the LLM agree on image quality only 26.8% of the time. The LLM judge rates 71.8% of ads "good"; the human expert rates only 20% "good". If you are using an LLM as a judge of ad creative (or any subjective visual quality)… See the full description on the dataset page: https://huggingface.co/datasets/AdControlCenter/ad-creative-quality-human-vs-llm.arithmetic-llm
arithmetic-llm
MNIST 图像 → 字节级算术 训练数据集。
用于教学向的字节级算术大模型 (byte-omni-model-zh)：给定一个显式数字 (digit 0-9) 与一张 MNIST 图像 (隐式数字)，预测两者之和。
输入: digit_byte + MNIST_image_bytes
输出: result_bytes
示例:
digit = "1" + image(数字 "2") → 预测 "3"
Schema
列
类型
说明
id
int
序号
image_base64
str
MNIST 图像 PNG (base64)
pixels
float[]
28×28 展平像素 (0-1), 784 维
label
int
图像数字标签 (0-9)
split
str
train (59134) / test (9943)
image_hash
str
SHA-256 逐字节指纹
phash
str
16×16 感知哈希位串 (与 label… See the full description on the dataset page: https://huggingface.co/datasets/wcpsoft/arithmetic-llm.