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Human-Machine Communication Dialogue Dataset
Data Science and Analytics
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Free
About
Provides deep insight into the complexities of human-machine communication by offering a collection of dialogue interactions between humans and machines. This dataset is valuable for exploring communication models used in machine learning, detailing how conversations develop and revealing behavioural changes in both human users and AI systems over time. It offers a detailed overview of machine learning concepts, especially how systems utilise dialogue to interact with people in various scenarios, and illustrates how predictive intelligence is applied in conversational settings. This resource is styled for following directions and conducting in-depth discussions.
Columns
The dataset includes three primary columns, structured as strings:
- system: Specifies the type of system employed for role-playing during the dialogue interaction.
- instruction: Records the task or direction provided by the human participant to the machine.
- response: Contains the reply generated by the machine in response to the human's instruction.
Distribution
The primary data file is
train.csv, which is usually provided in CSV format. The file size is approximately 274.21 MB. The dataset contains a substantial volume of validated dialogue records, with over 119,000 valid entries for both the instruction and response columns. If precise numbers for total rows or records are needed, further inspection of the file is necessary.Usage
Ideal applications include leveraging the data to understand how differing instruction styles influence conversation order and flow between humans and machines. It can be used for training models to predict potential responses in a given dialogue interaction from varying sources, such as virtual assistants or robots. Users can also conduct various kinds of analysis, including descriptive statistics or correlation analysis, and better inform developers seeking to build effective two-way human-machine interfaces.
Coverage
The scope focuses exclusively on Human-Machine Dialogue Interactions. While specific geographic or time-range data is not provided, the content covers various system types and instruction formats used in conversational AI settings.
License
CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
Who Can Use It
- Machine Learning Developers: To train and refine predictive intelligence models for conversational AI.
- Researchers: To study the dynamics of human-machine communication and conversational flow.
- Data Scientists: For statistical analysis of dialogue patterns and instruction types.
Dataset Name Suggestions
- Synthia Dialogue Interactions v1.3
- Human-Machine Communication Dialogue Dataset
- Orca-style Instruction Following Data
- AI Conversational Flow Repository
Attributes
Original Data Source: Human-Machine Communication Dialogue Dataset
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