datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DRIFT-TL-Distill-4K
DRIFT-TL-Distill-4K Dataset
This dataset contains multimodal reasoning examples with images and step-by-step thinking processes.
Paper: Directional Reasoning Injection for Fine-Tuning MLLMs
Code/Project Page: https://github.com/WikiChao/DRIFT
Dataset Structure
Each example contains:
messages: Conversation between user and assistant with image references
images: Paths to associated images
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/ChaoHuangCS/DRIFT-TL-Distill-4K.MMMU-Reasoning-Distill-Validation中文版本
Description
MMMU-Reasoning-Distill-Validation is a Multi-Modal reasoning dataset that contains 839 image descriptions and natural language inference data samples. This dataset is built upon the validation set of MMMU. The construction process begins with using Qwen2.5-VL-72B-Instruct for image understanding and generating detailed image descriptions, followed by generating reasoning conversations using the DeepSeek-R1 model. Its main features are as follows:
Use the… See the full description on the dataset page: https://huggingface.co/datasets/modelscope/MMMU-Reasoning-Distill-Validation.smol-fire-scene-distillation