datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multimodal-LLMs-See-Sentiment
MLLMsent — datasets and experiment results
Every input and every output of "Multimodal LLMs See Sentiment"
(arXiv:2508.16873): the image descriptions generated by six multimodal
LLMs, the sentiment labels derived from the PerceptSent annotations, and the complete
per-fold results of all 141 experiments.
Paper: arXiv:2508.16873
Code, training and inference: https://github.com/neemiasbsilva/multimodal-LLMs-see-sentiment
Model checkpoints:… See the full description on the dataset page: https://huggingface.co/datasets/neemiasbsilva/multimodal-LLMs-See-Sentiment.M-Attack-V2-Adversarial-Samples
M-Attack-V2 Adversarial Samples
Adversarial image samples generated by M-Attack-V2, from the paper:
Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting
arXiv:2602.17645 | Project Page | Code
Dataset Structure
├── epsilon_8/ # 100 adversarial images (ε = 8/255)
│ ├── 0.png
│ ├── 1.png
│ ├── ...
│ └── metadata.csv
└── epsilon_16/ # 100 adversarial images (ε = 16/255)
├── 0.png
├── 1.png
├── ...
└──… See the full description on the dataset page: https://huggingface.co/datasets/MBZUAI-LLM/M-Attack-V2-Adversarial-Samples.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.llm-distribution
LLM Distribution Evaluation Dataset
This dataset contains 50,000 synthetic graphs with questions and answers about statistical distributions, designed to evaluate large language models' ability to analyze data visualizations.
Dataset Description
Dataset Summary
This dataset contains diverse statistical visualizations (bar charts, line plots, scatter plots, histograms, area charts, and step plots) with associated questions about:
Normality testing
Distribution… See the full description on the dataset page: https://huggingface.co/datasets/robvanvolt/llm-distribution.llm_pack_detection
LLM-Pack: Grocery Detection Dataset
A small object detection and scene understanding dataset containing tabletop grocery scenes with annotated item names and object locations.
The dataset consists of 40 images with varying object counts, designed for evaluating object detection, counting, and multimodal reasoning systems in cluttered grocery scenarios.
Dataset Overview
Total scenes: 40
Object counts per scene: 6, 8, 10, 12, 14, 16, 18, or 20 items
Samples per… See the full description on the dataset page: https://huggingface.co/datasets/Yannik019/llm_pack_detection.llm-distribution-sample
LLM Distribution Evaluation Dataset
This dataset contains 1000 synthetic graphs with questions and answers about statistical distributions, designed to evaluate large language models' ability to analyze data visualizations.
Dataset Description
Dataset Summary
This dataset contains diverse statistical visualizations (bar charts, line plots, scatter plots, histograms, area charts, and step plots) with associated questions about:
Normality testing
Distribution… See the full description on the dataset page: https://huggingface.co/datasets/robvanvolt/llm-distribution-sample.