Indonesian Customer Reviews for Food SMEs: Raw Dataset for Text Summarization

This dataset contains raw customer reviews collected from various digital platforms, including Google Maps, online marketplaces, and other review portals, specifically targeting Indonesian small and medium-sized food enterprises (SMEs). The dataset is intended for research in Natural Language Processing (NLP), particularly for text summarization tasks using models such as IndoBERT.

It includes reviews in Bahasa Indonesia that reflect customer opinions on product quality, service experience, and overall satisfaction. The data has been anonymized to protect personal information and is provided in a clean CSV format suitable for preprocessing and model training.

Researchers and practitioners can use this dataset to:

Develop extractive or abstractive text summarization models.
Conduct sentiment analysis or other NLP tasks.
Evaluate the performance of language models on Indonesian customer-generated text.

Dataset Details:

Language: Indonesian
Format: CSV
Number of Reviews: [insert number of rows in your CSV]
Fields Included: review_text, rating (optional), source_platform (optional)
Usage License: [e.g., CC BY 4.0 or Open Data Commons]

Keywords: Indonesian, Customer Reviews, Food SMEs, Text Summarization, NLP, IndoBERT