Omkar2118/datasets huggingface dataset:
HDTF

High-definition Talking Face Dataset (HDTF). The HDTF dataset is collected from youtube website published in recent two years and consists of about 16 hours 720P∼1080P videos. There are over 300 subjects and 10k different sentences in HDTF dataset. Our HDTF dataset has higher video resolution than previous in-thewild datasets and more subjects/sentences than in-the-lab datasets.
dafont
Full name: dafont

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Introducing paper: Font Style that Fits an Image -- Font Generation Based on Image Context
Maia KDD Testing Set

These are the games used for testing models in the paper Aligning Superhuman AI with Human Behavior Chess as a Model System. The games have been converted from pgn to csv and the per move and per game information has been extracted. If you wish to see the original game files download the December 2019 standard games database release from Lichess. The game_id column matches that used by lichess. The games were selected to have both players of similar Elo Rating and for each divisions of 100 from 1000 to 25000, i.e 1000, 1100, ... 2500 there are 10,000 games. The meaning of each column should be straightforward. The per move information tends to be from the perspective of the active player, although the cp is not, instead the cp_rel columns is the relative centipawn value.

Introducing paper: Learning Models of Individual Behavior in Chess
Lichess CSV Games

These are processed versions of the monthly lichess database release. Only games with stockfish analysis are included. The games have been converted from pgn to csv and the per move and per game information has been extracted. If you wish to see the original game files download the corresponding standard games database release from Lichess. The game_id column matches that used by lichess. The meaning of each column should be straightforward. The per move information tends to be from the perspective of the active player, although the cp is not, instead the cp_rel columns is the relative centipawn value.

Introducing paper: Learning Models of Individual Behavior in Chess
RefoMB

The **RefoMB dataset** is part of a project called **RLAIF-V**, which stands for "Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness." It's an open-source multimodal preference dataset that contains more than **30,000 high-quality comparison pairs**. The dataset is designed to reduce hallucination in different Multimodal Large Language Models (MLLMs) and improve their trustworthiness by providing high-quality feedback data and an online feedback learning algorithm.

The **RefoMB** itself is a comprehensive multimodal evaluation set that covers **8 sub-abilities** of multimodal model perception and reasoning. It includes a variety of image types such as cartoons, text-rich images, and photos to assess the credibility of responses and general performance of current multimodal models in open-ended generation tasks.
MM-SafetyBench

The **MultiModal Safety Benchmark (MM-SafetyBench)** is a comprehensive framework designed for conducting safety-critical evaluations of Multimodal Large Language Models (MLLMs). It addresses the security concerns surrounding MLLMs, which can be compromised by query-relevant images, as if the text query itself were malicious¹².

Here's a brief overview of MM-SafetyBench:
- **Purpose**: It aims to evaluate the vulnerability of MLLMs to adversarial attacks that use images to manipulate model responses.
- **Dataset**: The benchmark includes a dataset with 13 scenarios, resulting in a total of 5,040 text-image pairs.
- **Evaluation**: It has been used to assess the safety of 12 state-of-the-art MLLMs, revealing their susceptibility to image-based manipulations¹.
- **Significance**: The findings from MM-SafetyBench highlight the need for improved safety measures in open-source MLLMs to protect against potential malicious exploits².

(1) GitHub - isXinLiu/MM-SafetyBench. https://github.com/isXinLiu/MM-SafetyBench.
(2) MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large .... https://arxiv.org/abs/2311.17600.
(3) MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large .... https://paperswithcode.com/paper/query-relevant-images-jailbreak-large-multi.
(4) Official github repo for SafetyBench, a comprehensive benchmark to .... https://github.com/thu-coai/SafetyBench.
(5) undefined. https://doi.org/10.48550/arXiv.2311.17600.

Introducing paper: MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models