datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
zebra-cot-mistral-small-3.2-24b-preprocessed
Zebra-CoT Preprocessed — Mistral Hackathon 2026
Preprocessed version of the Zebra-CoT dataset for fine-tuning Mistral-Small-3.2-24B-Instruct.
Format
text: formatted as [INST] question [/INST] <think> reasoning </think> answer
image: PIL JPEG image for the corresponding visual task
Usage
Fine-tuning Mistral-Small-3.2-24B on chain-of-thought visual reasoning.
Hackathon
Created for Mistral Hackaton 2026 — Fine-tuning track with W&B.
AIME25-CoT-CN
Sci-Bench-AIME25'
This repo is a branch of Sci Bench made by IPF team. Mainly include the AIME 25' solution with multi-modal CoT and diverse solving path.
Brief intro
💻 Overview
A brief template and final report will be posted in Isaac's Blog
And the markdown template can be found in data/I_2
❓ Why we do this?
The multi-lingual datasets are scarce, while the CoT of Math is even less, no matter whether the CoT or the solution contains pictures… See the full description on the dataset page: https://huggingface.co/datasets/IPF/AIME25-CoT-CN.LLaVA-CoT-Instruct-58KThis dataset is borrowed from LLaVA-CoT-o1-Instruct
AIME25-CoT-CN
Sci-Bench-AIME25'
This repo is a branch of Sci Bench made by IPF team-SnailAILab. Mainly include the AIME 25' solution with multi-modal CoT and diverse solving path.
📚 Cite
If you use the Sci-Bench-AIME25 (IPF/AIME25-CoT-CN) dataset in your research, please cite:
@dataset{zhang2025scibench_aime25,
title = {{Sci-Bench-AIME25}: A Multi-Modal Chain-of-Thought Dataset for Advanced Tool-Intergrated Mathematical Reasoning},
author = {Zhang, Haoxiang and Wang, Siyuan… See the full description on the dataset page: https://huggingface.co/datasets/SnailAILab/AIME25-CoT-CN.HumanML3D-500ms-FPP-descriptions-CoTs-1
HumanML3D 500ms First person perspective descriptions for CoTs
Introduction
This repository contains files of the Mr. Ri's and Ms. Tique's HumanML3D human motion dataset,
but also descriptions of the movements in first person perspective in 0.5 second time windows.
The descriptions were created synthetically with use of a multimodal LLM and are in json format. They can be found in comics_and_descriptions folder.
The dataset also contains motion capture data and… See the full description on the dataset page: https://huggingface.co/datasets/Wojtekb30/HumanML3D-500ms-FPP-descriptions-CoTs-1.STEM_train_cot
STEM Image Chain-of-Thought Edit Analysis Dataset
This dataset contains AI-generated Chain-of-Thought (CoT) reasoning for STEM image editing tasks, providing step-by-step analysis of edit operations.
Dataset Structure
The dataset is organized in batches:
Total batches: 26
Each batch is stored in a separate directory (batch_0000, batch_0001, etc.)
Fields
Each item contains:
Source image and caption (from previous stage)
Edit command (from original dataset)… See the full description on the dataset page: https://huggingface.co/datasets/JackyZhuo/STEM_train_cot.LeetCode_YT_CC_CoT_SummaryLeetCode Information & YouTube Captions with CoT Summaries
Original data -> LimYeri/leetcode_with_youtube_captions
The original ['cc_content'] column had tokens that were too long and contained a lot of repetition, which necessitated summarization.
Consequently, our team (Project Team: CodeMind) summarized the ['cc_content'] column data using the Chain of Thought (CoT) technique with the gpt-3.5-turbo-0125 & gpt-4-turbo-2024-04-09 model. -> new column ['Summary']
ChartEdit_cot
STEM Image Chain-of-Thought Edit Analysis Dataset
This dataset contains AI-generated Chain-of-Thought (CoT) reasoning for STEM image editing tasks, providing step-by-step analysis of edit operations.
Dataset Structure
The dataset is organized in batches:
Total batches: 2
Each batch is stored in a separate directory (batch_0000, batch_0001, etc.)
Fields
Each item contains:
Source image and caption (from previous stage)
Edit command (from original dataset)… See the full description on the dataset page: https://huggingface.co/datasets/JackyZhuo/ChartEdit_cot.