Blended Skill Talk

This dataset contains conversations between two personas with additional context, previous utterances, free messages, guided messages, suggestions and guided chosen suggestions, allowing for the creation of natural multi-modal conversations with personality, empathy and knowledge. The conversations are designed to measure a full range of technical competencies such as dialog flow management (including response times), topic control and coherence of conversation. It also provides a basis for exploring the impact of different conversational styles on user engagement. Additionally, the task is useful in validating distributed dialogue systems across various modalities while revealing potential biases present in different contexts. Finally, it enables benchmarking against data sets in similar areas towards development of an automatic evaluation system to effectively grade tactical skill talk performance over time

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Featured Notebooks 🚨 Your notebook can be here! 🚨! How to use the dataset This dataset contains conversations between two personas, providing detailed insight into the conversation flow and the use of multi-modal communication tools. The data provides information about each particular conversational experience that can be used to develop a better understanding of how people interact.

Within this dataset there are several columns that can be used to investigate the conversations, along with the context in which it is occurring. Personas are included as an indicator for who is engaging in conversation, additional context allows a framework for starting off conversations and accumulating meaningful results from each segment of dialogue. The previous utterance column captures recent history so any relevant reference points can be utilized during discourse. Free messages allow anyone partaking in the exchange to spontaneously add content and suggest topics that may have been otherwise overlooked. Guided messages help guide discussions while still allowing for creative dialogue choices with regards to how delivery will vary within earlier frames mentioned previously such as context or previous utterances. Suggestions serve a dual purpose offering approval or suggestions when necessary but subtlety implying how certain actions should or could be taken when engaging digital avatars; while guided chosen suggestion inserts weights User Neutrality vs sentiment engagement depending on what course might suit either users objectives best, minimizing bias and instead advocating fairness over personal preference towards either individual party's specific stance on disputed topics~

Research Ideas Building virtual assistants with conversational and multi-modal capabilities. Creating interactive tutorials using a combination of personas, free messages, guided messages and suggestions for content that constantly adapts to user input

Original Data Source: Blended Skill Talk