convAI
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All datasets matching “convAI”MMEvol
Dataset Card for MMEvol-480K
This is the official data collection of the paper "MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct"
Please see paper & website for more information:
arXiv: https://arxiv.org/pdf/2409.05840
website: https://mmevol.github.io/home_page.html
Github: https://github.com/RainBowLuoCS/MMEvol
Overview
The Tongyi-ConvAI generates this dataset for multi-modal supervised fine-tuning. This dataset was used to train our… See the full description on the dataset page: https://huggingface.co/datasets/Tongyi-ConvAI/MMEvol.conv_ai_2ConvAI is a dataset of human-to-bot conversations labelled for quality. This data can be used to train a metric for evaluating dialogue systems. Moreover, it can be used in the development of chatbots themselves: it contains the information on the quality of utterances and entire dialogues, that can guide a dialogue system in search of better answers.conv_aiConvAI is a dataset of human-to-bot conversations labelled for quality. This data can be used to train a metric for evaluating dialogue systems. Moreover, it can be used in the development of chatbots themselves: it contains the information on the quality of utterances and entire dialogues, that can guide a dialogue system in search of better answers.conv_ai_3The Conv AI 3 challenge is organized as part of the Search-oriented Conversational AI (SCAI) EMNLP workshop in 2020. The main aim of the conversational systems is to return an appropriate answer in response to the user requests. However, some user requests might be ambiguous. In Information Retrieval (IR) settings such a situation is handled mainly through the diversification of search result page. It is however much more challenging in dialogue settings. Hence, we aim to study the following situation for dialogue settings:
- a user is asking an ambiguous question (where ambiguous question is a question to which one can return > 1 possible answers)
- the system must identify that the question is ambiguous, and, instead of trying to answer it directly, ask a good clarifying question.physics-reasoning-dataset
📚 Flux Physics Reasoning Dataset
This dataset contains detailed physics reasoning scenarios designed to train Small Language Models (SLMs) and Liquid Neural Networks in physical intuition.
📄 Format
The dataset is provided in Parquet format (train.parquet) for efficient loading. Each row contains:
prompt: The physics question or scenario description.
answer: The correct physical explanation and answer.
concept: The underlying physics principle (e.g., "Conservation of… See the full description on the dataset page: https://huggingface.co/datasets/convaiinnovations/physics-reasoning-dataset.ConvAI2-Qwen-Image-2512