datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DEBATE
DEBATE: Diverse Multi-Agent Debates
This dataset is presented in the paper "MALLM: Multi-Agent Large Language Models Framework".
Citation
comming soon.
MultiAgent-X
MultiAgent-X: Multilingual Agentic Function-Calling Benchmark
Created with Adaptive Data by Adaption
The first open-source multilingual function-calling training and evaluation dataset targeting under-resourced languages. 10,551 records across 12 languages, 7 unique writing systems, and 5 life-critical agentic domains covering 1.3 billion speakers that mainstream AI has never been optimised for.
The Gap This Fills
MASSIVE-Agents (EMNLP 2025) evaluated multilingual… See the full description on the dataset page: https://huggingface.co/datasets/Saurabh-66/MultiAgent-X.omnimcp_multiagent_debate_consensus_teaser
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📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_multiagent_debate_consensus_teaser.multiagent-router-finetuning
Multi-Agent Router Fine-tuning Dataset
Dataset Description
This dataset is designed for fine-tuning language models to perform intelligent routing in multi-agent customer support systems. The model learns to classify user queries and route them to the appropriate specialized agent with relevant parameters.
Supported Tasks
Function Calling: Route queries to appropriate agent functions
Intent Classification: Identify the type of support needed
Parameter… See the full description on the dataset page: https://huggingface.co/datasets/bhaiyasingh45/multiagent-router-finetuning.