Cleaning 1.2M Web Pages for Under $1
vanstriendaniel · x · 2026-07-16
The author ran a DataTrove pipeline on Common Crawl, migrating execution to Hugging Face Jobs:
- The data processing stack is installed directly via pip install, reusing the same pipeline code but switching the executor.
- Tasks are distributed to cloud Jobs, allowing CPU filtering and GPU inference to be chained together.
- Completed tasks are automatically skipped during reruns, making it ideal for large-scale data cleaning and incremental processing.
Results:
- Processed 120 万 Common Crawl pages;
- Yielded 22.8 万 clean documents;
- The author claims the total cost was 不到 1 美元 and required no Slurm cluster.
The core takeaway here isn't about a specific model, but rather how combining a data processing pipeline + cloud job executor makes large-scale web preprocessing cheaper and more modular.
Related event: Developer Processes 1.2M Web Pages for Under $1 Using HF Jobs(3 posts)→
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