This dataset consists of pairs of customer questions and the responses given by a virtual assistant at Acme Bank. It can be used to train and evaluate models for customer service applications, such as chatbots and virtual assistants.

Curated by: Acme Bank Funded by [optional]: [More Information Needed] Shared by [optional]: Acme Bank Language(s) (NLP): English License: [More Information Needed] Dataset Sources [optional]

Repository: [More Information Needed] Paper [optional]: [More Information Needed] Demo [optional]: [More Information Needed] Uses

Direct Use

The dataset is suitable for training and evaluating natural language processing models, especially in the context of customer service automation, such as chatbots and virtual assistants.

Out-of-Scope Use

The dataset may not be suitable for applications outside customer service, such as general-purpose conversational agents, due to its specific context.

Dataset Structure

The dataset contains the following columns:

Questions: The questions asked by customers. Answers: The responses provided by the virtual assistant. Dataset Creation Curation Rationale

The dataset was created to improve and evaluate the performance of virtual assistants in handling customer queries effectively.

Source Data

Data Collection and Processing

The data was collected from interactions with Acme Bank's virtual assistant. The conversations were processed to pair customer questions with the corresponding answers.

Who are the source data producers?

The source data producers are the customers of Acme Bank and the virtual assistant system.

Annotations [optional]

Annotation process

No additional annotations were made.

Who are the annotators?

The annotations were created by the virtual assistant system based on customer interactions.

Personal and Sensitive Information

The dataset does not contain personal, sensitive, or private information.

Bias, Risks, and Limitations

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Recommendations

Users should be made aware of the context-specific nature of the dataset and ensure that it is used appropriately within the domain of customer service.

Citation [optional]

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