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Blended Skill Talk Conversational Dataset
Data Science and Analytics
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Free
About
This dataset offers a creative collection of 7,000 one-on-one conversations, engineered to explore a diverse range of dialogue modes [1]. It allows for the exploration of conversations that exude personality, demonstrate empathy, and showcase knowledge [1]. Each record is meticulously structured with fields such as personas, additional context, previous utterance, free messages, guided messages, and suggestions, providing a rich foundation for stimulating topics and unique dialogues [1]. It is an invaluable resource for anyone looking to train and validate conversational models and delve into the capabilities of dynamic dialogue systems [1].
Columns
The dataset is structured with several key columns, each providing distinct information about the conversations [1, 2]:
- Personas: Contains detailed information about the individuals or roles involved in the conversation [2]. This field has 960 unique values [2].
- Additional Context: Provides extra contextual information pertinent to the conversation [2].
- previous_utterance: Records the preceding statement in the dialogue [2].
- context: Offers contextual details for the conversation flow [2]. This field contains 975 unique values [3].
- free_messages: Includes unconstrained messages exchanged within the conversation [2]. This field contains 980 unique values [3].
- guided_messages: Features messages that may follow a specific guidance or structure [2]. This field contains 980 unique values [3].
- suggestions: Contains recommended messages, particularly useful for building knowledge-based conversations [1, 2]. This field contains 980 unique values [3].
Distribution
The dataset is formatted for easy integration into machine learning frameworks, typically provided in
test.csv format, with validation, train, and test splits available [1, 2]. It comprises 7,000 individual conversations [1]. Each conversation record is uniformly structured, making it suitable for training and evaluating models [1]. The data quality is rated 5 out of 5 [4].Usage
This dataset is ideally suited for several applications [1]:
- Training and validating conversational AI models, enhancing their ability to handle dynamic dialogues [1].
- Generating creative responses by leveraging the
personasandadditional contextfields [1]. - Developing knowledge-based conversational agents by utilising information from the
suggestionsfield [1]. - Building chatbots that offer personalised responses and empathetic support to users, drawing on the
personasandfree messagefields [1]. - Exploring the nuances of dialogue modes, including personality expression, empathy, and knowledge demonstration [1].
Coverage
The dataset is indicated to have a GLOBAL region coverage [4]. Specific time ranges or demographic scopes are not detailed in the provided sources.
License
CC0
Who Can Use It
This dataset is particularly beneficial for:
- Data Scientists and Machine Learning Engineers: For developing and refining conversational AI models [1].
- NLP Researchers: To study dialogue systems, text mining, and the dynamics of human-like conversations [1].
- Chatbot Developers: For creating more sophisticated and human-centric conversational agents [1].
- Academics: For research into areas such as artificial intelligence, natural language processing, and human-computer interaction [1].
Dataset Name Suggestions
- Blended Skill Talk Conversational Dataset
- One-on-One Dialogue Collection
- AI Chat Conversation Dataset
- Empathetic Dialogue Data
Attributes
Original Data Source: Blended Skill Talk (1 On 1 Conversations)
QUALITY