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.
Multi-turn_Long-context_Benchmark_for_LLMs
LoopServe: An Adaptive Dual-phase LLM Inference Acceleration System for Multi-Turn Dialogues
Arxiv: https://www.arxiv.org/abs/2507.13681
Huggingface: https://huggingface.co/papers/2507.13681
Introduction
LoopServe Multi-Turn Dialogue Benchmark is a comprehensive evaluation dataset comprising multiple diverse datasets designed to assess large language model performance in realistic conversational scenarios.
Unlike traditional benchmarks that place queries only at the end… See the full description on the dataset page: https://huggingface.co/datasets/TreeAILab/Multi-turn_Long-context_Benchmark_for_LLMs.Kazakh_Multi-Task_corpus
Kazakh Multi-task Corpus
A multi-task NLP dataset in the Kazakh language, covering seven distinct language tasks - from instruction-following and question answering to translation, sentiment analysis, and grammar exercises. Designed to support the development of Kazakh-language models, benchmarks, and linguistic research.
Dataset Summary
Kazakh is a Turkic language spoken by over 13 million people, yet it remains significantly underrepresented in NLP research and… See the full description on the dataset page: https://huggingface.co/datasets/mangi-llm/Kazakh_Multi-Task_corpus.