datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lingshu_training_data_medical_domain
Website
🤖 7B Model
🤖 8B Model based on InternVL3
🤖 32B Model
MedEvalKit
Technical Report
Lingshu MCP
Lingshu Medical MLLM Training Data (Medical Domain)
This dataset contains the medical-domain training data used in the multi-stage training of the Lingshu Medical Multimodal Large Language Model (MLLM). General-domain data has been removed; only medical data is included.
The training… See the full description on the dataset page: https://huggingface.co/datasets/lingshu-medical-mllm/lingshu_training_data_medical_domain.DroidCall
DroidCall: A Dataset for LLM-powered Android Intent Invocation
paper|github
DroidCall is the first open-sourced, high-quality dataset designed for fine-tuning LLMs for accurate intent invocation on Android devices.
This repo contains data generated by DroidCall. The process of data generation is shown in the figure below
Details can be found in our paper and github repository.
What is Android Intent Invocation?
Android Intent is a key machanism in Android that allows… See the full description on the dataset page: https://huggingface.co/datasets/mllmTeam/DroidCall.ReasonMed
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
📄 Paper |
💻 Code |
📊 Dataset
ReasonMed is the largest open-source medical reasoning dataset to date, containing 370 K high-quality question–answer examples with multi-step chain-of-thought (CoT) rationales and concise summaries. We distilled these from 1.75 M initial reasoning paths generated by three competitive large-language models (Qwen-2.5-72B, DeepSeek-R1-Distill-Llama-70B, and… See the full description on the dataset page: https://huggingface.co/datasets/lingshu-medical-mllm/ReasonMed.Logics-SWE-Env-2.5K
Logics-SWE-Env-2.5K
2,553 software engineering task instances · 1,771 repositories · 4 programming languages
🤗 Related model: Logics-SWE-Qwen3.6-27B
📄 Paper: One to More, More to One
💻 GitHub: AgenticBigBang
Overview
What is this dataset?
Logics-SWE-Env-2.5K is a collection of repository-level software engineering tasks for research on coding agents and environment-based reinforcement learning. It contains 2,553 unique task instances from 1,771… See the full description on the dataset page: https://huggingface.co/datasets/Logics-MLLM/Logics-SWE-Env-2.5K.mllm-shap
MLLM-SHAP experiment datasets
Curated test splits for studying Shapley-value explanations in multimodal large language models (text and audio inputs). Each configuration is a filtered, size-controlled subset built for reproducible benchmarking—not a full copy of the upstream corpora.
Configs follow the naming pattern {task}__{source} (for example single_sentence__voice_bench).
Quick load
Pin a dataset revision for reproducibility (replace REVISION with the commit hash… See the full description on the dataset page: https://huggingface.co/datasets/Pawlo77/mllm-shap.