Unlike machine-generated lists, DMOZ data was curated by over 90,000 volunteer editors, making the classifications highly accurate for its time.
Since DMOZ officially closed in March 2017, a significant portion of the URLs in this archive may lead to dead links or parked domains.
About Dataset. This is an url classification dataset from dmoz directory. There are 15 class for classification. DMOZ-TDDLI.rar
The data includes deep taxonomic paths (e.g., Science/Technology/Space ), which is excellent for testing multi-level classification algorithms. Weaknesses:
This archive generally contains structured metadata—often in RDF or CSV format—linking millions of URLs to human-categorized topics like "Sports," "Science," or "Arts". "TDDLI" often refers to specialized subsets used in academic papers or machine learning models. Strengths: Unlike machine-generated lists, DMOZ data was curated by
As a .rar file, you will need third-party tools like WinRAR or 7-Zip to extract the contents.
Below is a generated review based on the typical value and contents of such datasets: Data Review: DMOZ-TDDLI.rar This is an url classification dataset from dmoz directory
“Getting a website listed in DMOZ can be very frustrating... but being listed will probably help our Google rankings.” WebWorkshop URL Classification Dataset [DMOZ] - Kaggle