How would you use Apache Spark to preprocess a massive text dataset for LLM training

Question

Can you tell me How would you use Apache Spark to preprocess a massive text dataset for LLM training?

Answer 1

You can use Apache Spark to preprocess a massive text dataset for LLM training by leveraging its distributed computing capabilities to clean, tokenize, and format the data efficiently.

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Uses Apache Spark for scalable text preprocessing
• Handles large datasets efficiently using distributed computing
• Cleans text by lowercasing and removing special characters
• Tokenizes sentences and optionally flattens words for word-level processing

Hence, Apache Spark enables efficient preprocessing of massive text datasets for LLM training by distributing the workload across multiple nodes.