davidsbatista/NER-datasets
Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)
This collection provides pre-labeled text examples for various languages, helping you teach a computer to automatically find and categorize specific items like names, places, or organizations within text. You get text documents with entities already marked, which you can use to build custom text analysis tools. This is ideal for natural language processing engineers or researchers working on information extraction.
345 stars. No commits in the last 6 months.
Use this if you need pre-annotated text data in Portuguese, German, Dutch, French, English, Italian, Spanish, Polish, or Russian to train a model for identifying named entities in those languages.
Not ideal if you need to extract information from text in a language not listed, or if your entities are highly specialized and not covered by general datasets.
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Python
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Last pushed
Oct 30, 2022
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