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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

IndonesiaDialogueSet

tags: NLP, Indonesian, Social Media

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'IndonesiaDialogueSet' is a hypothetical dataset tailored for researchers and developers working on NLP models, particularly those focusing on Indonesian social media dialogue. The dataset comprises snippets of conversations collected from various social media platforms, where Indonesians express their thoughts, opinions, and daily experiences. Each entry includes a transcribed dialogue, which has been manually reviewed and labeled for sentiment and topic relevance, facilitating the training of sentiment analysis and topic classification models.

The 'label' column in the dataset represents the sentiment of the dialogue snippet, while the 'topic' column classifies the snippet into one of several predefined topics relevant to Indonesian culture and social issues. The dataset is aimed at enhancing models that can understand and process the nuances of Indonesian conversational text.

CSV Content Preview:

id,dialogue,label,topic
1,Halo,greeting,politeness
2,Selamat pagi,good morning,greeting
3,Rinduku kami,we missed you,social-relationship
4,Apakah rencana untuk hari ini?,do you have any plans today?,social-event
5,Saya ingin mendengarkan bahwa... kita,I want to hear about your experience...,social-event

In this CSV preview, each row represents a unique dialogue snippet from Indonesian social media users. The 'dialogue' column contains the actual text of the conversation. The 'label' column assigns a sentiment to the text, which could be positive, neutral, or negative. The 'topic' column classifies the dialogue into broader themes, such as greetings, social relationships, or social events.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'Indonesia sharegpt':