Question 1

How do I download datasets from nlp-datasets?

Accepted Answer

You need to browse the alphabetical list in the README, click on the provided links to external sources like AWS or Kaggle, and follow their download instructions—there's no direct download from nlp-datasets itself.

Question 2

nlp-datasets vs Hugging Face Datasets: which should I use?

Accepted Answer

nlp-datasets is a curated list of free, raw datasets for discovery, while Hugging Face Datasets offers pre-processed, ready-to-use datasets with APIs. Choose nlp-datasets for finding public domain sources; Hugging Face for integrated, model-ready data.

Question 3

Are the datasets in nlp-datasets labeled for machine learning?

Accepted Answer

Most are raw, unstructured text, but some like CrowdFlower sentiment analysis datasets include labels. For fully annotated corpora, the project points to other sources, so check each dataset's description carefully.

Question 4

What languages are covered besides English?

Accepted Answer

It includes datasets in German, Arabic, Albanian, Urdu, Kinyarwanda, and Kirundi, with specific entries such as Albanian news articles and German court decisions, supporting diverse linguistic research.

Question 5

How up-to-date is the nlp-datasets list?

Accepted Answer

The repository appears to be a static collection with no regular update schedule; it relies on community contributions, so some links might be outdated or datasets may have changed since listing.

Question 6

Can I contribute to or update nlp-datasets?

Accepted Answer

Yes, as an open-source GitHub project, you can submit pull requests to add or update datasets, but there's no automated process, so changes depend on maintainer approval and manual curation.

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