task_categories:question-answering language:en region:us
---
task_categories:
- question-answering
language:
- en
---
<!-- Provide a longer summary of what this dataset is. -->
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]
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Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]
Uses
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Direct Use
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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
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The dataset may not be suitable for applications outside customer service, such as general-purpose conversational agents, due to its specific context.

Dataset Structure
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The dataset contains the following columns:

Questions: The questions asked by customers.
Answers: The responses provided by the virtual assistant.
Dataset Creation
Curation Rationale
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The dataset was created to improve and evaluate the performance of virtual assistants in handling customer queries effectively.

Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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?
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The source data producers are the customers of Acme Bank and the virtual assistant system.

Annotations [optional]
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Annotation process
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No additional annotations were made.

Who are the annotators?
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The annotations were created by the virtual assistant system based on customer interactions.

Personal and Sensitive Information
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The dataset does not contain personal, sensitive, or private information.

Bias, Risks, and Limitations
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[More Information Needed]

Recommendations
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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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BibTeX:

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APA:

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Glossary [optional]
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Dataset Card Authors [optional]
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Dataset Card Contact
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