Afrikaans general conversation dataset

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Project Overview:

Objective

Our project, “Afrikaans General Conversation Dataset”, is aimed at creating a comprehensive dataset that captures the nuances of everyday Afrikaans conversations. This project’s vision is to provide a foundational dataset for AI models, facilitating more accurate and natural language processing in Afrikaans.

Scope

To achieve this, our focus has been on collecting and annotating a wide variety of general conversations in Afrikaans. These include dialogues from everyday life, discussions on current events, and typical interactions across various social settings. The goal is to ensure that AI models trained with this dataset can understand and respond to a broad spectrum of conversational contexts in Afrikaans.

Sources

Data was sourced through voluntary participation from a diverse group of native Afrikaans speakers.
Methods included recording public discussions, one-on-one interviews, and group conversations.
All interactions were conducted with informed consent and adhered to privacy standards.

Data Collection Metrics

Total Conversations Collected: 15,000
Conversations from Social Media Platforms: 6,000
Recorded Dialogues from Public Places: 4,500
Interviews and Group Discussions: 4,500

Annotation Process

Stages

Conversation Summarization: Each conversation is annotated with a brief summary, capturing the main topics and sentiments expressed.
Contextual Tags: We tag conversations with contextual information such as setting, tone, and participants’ demographics.

Annotation Metrics

Conversations Annotated with Summaries: 15,000
Conversations with Contextual Tags: 15,000

Quality Assurance

QA Metrics

Reviewed Annotations: 3,000 (20% of total)
Data Cleansing: Systematic removal of low-quality or off-topic conversations

Conclusion

The “Afrikaans General Conversation Dataset” represents a groundbreaking resource for developing AI applications that can seamlessly interact in Afrikaans. It’s a treasure trove of real-life conversations, meticulously annotated to train state-of-the-art language models. This dataset is not just a collection of words; it’s a gateway to understanding and interacting with the Afrikaans-speaking world. It paves the way for innovative applications in natural language processing, enhancing communication and understanding in this vibrant language community.