datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IntentRouterTrain
MODF-SIR: a Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning
MODF-SIR is a lightweight MLLM-based, distillation-augmented, multi-agent collaborative framework for social intelligence reasoning.
🔖 Model Details
Model type: Omni-modal Large Language Model
License: BSD-3-Clause
Project Page: Arxiv: https://arxiv.org/abs/2606.12018
Code Repository: GitHub: https://github.com/eeee-sys/MODF-SIR
👀 MODF-SIR… See the full description on the dataset page: https://huggingface.co/datasets/Harry-1234/IntentRouterTrain.WAMP-Router-Intent-Dataset
WAMP Router Intent Dataset
This dataset was created for training the WAMP-proxy semantic router. It contains user queries in Russian and English across various domains (Technical, Medicine, Art, Philosophy, etc.) classified into three intent categories.
Dataset Structure
The dataset consists of two columns:
text: The user query string.
label: The integer class ID.
label_text: Human-readable class name.
Labels
0 (Summary): General requests for recaps, TL;DR… See the full description on the dataset page: https://huggingface.co/datasets/naranor/WAMP-Router-Intent-Dataset.router-intent-classifier-50kagent-intent-router