YelpArchive/dataset-examples resource

Health v2 · maintenance only

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1260 stars · 608 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of Python example scripts from Yelp demonstrating how to work with the Yelp Academic/Open Dataset, including a JSON-to-CSV converter, a category predictor, a Markov-chain review generator, and a word positivity scorer. The examples are built on Yelp's mrjob library and can run locally or on AWS EMR/Hadoop.

Use cases

• convert the yelp academic dataset from to csv
• learn how to process the yelp open dataset with python
• predict business categories from review text
• generate fake yelp-style reviews with a markov chain
• run mapreduce jobs on the yelp dataset with mrjob
• analyze word sentiment per review category
• get started with the yelp dataset challenge

When to choose

• you are a student or researcher starting with the Yelp Academic Dataset
• you want simple, runnable Python examples for JSON dataset conversion and basic NLP
• you want to learn mrjob and run jobs locally or on AWS EMR

When to avoid

• you need a production data pipeline or maintained library rather than sample code
• you need Python 3-only tooling, since the examples target Python 2.6+ era mrjob
• you are not working with the Yelp dataset specifically

Facets

learning-resource · maturity maintenance

data-science etl nlp machine-learning csv data-science big-data analytics tutorials python cli cross-platform yelp-dataset mrjob sample-code mapreduce academic-dataset -to-csv markov-chain aws-emr natural-language-processing

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markdown · JSON · MCP: product_card(name="YelpArchive/dataset-examples")