NLTK Stopwords

Stopword lists from NLTK, covering 33 languages.

Each language is a separate config. Each row is one stopword.

Usage

from datasets import load_dataset

# Load one language
ds = load_dataset("nltk-data-hub/stopwords", "portuguese")
words = ds["stopwords"]["word"]

# Load all languages
for lang in ['albanian', 'arabic', 'azerbaijani', 'basque', 'belarusian', 'bengali', 'catalan', 'chinese', 'danish', 'dutch', 'english', 'finnish', 'french', 'german', 'greek', 'hebrew', 'hinglish', 'hungarian', 'indonesian', 'italian', 'kazakh', 'nepali', 'norwegian', 'portuguese', 'romanian', 'russian', 'slovene', 'spanish', 'swedish', 'tajik', 'tamil', 'turkish', 'uzbek']:
    ds = load_dataset("nltk-data-hub/stopwords", lang)
    print(lang, ds["stopwords"].num_rows)

Schema

Column	Type	Description
word	string	The stopword

Languages and word counts

Language	BCP-47	Count
albanian	sq	237
arabic	ar	754
azerbaijani	az	165
basque	eu	326
belarusian	be	224
bengali	bn	398
catalan	ca	278
chinese	zh	841
danish	da	94
dutch	nl	101
english	en	198
finnish	fi	235
french	fr	157
german	de	232
greek	el	265
hebrew	he	221
hinglish	hi	1,036
hungarian	hu	199
indonesian	id	758
italian	it	279
kazakh	kk	324
nepali	ne	255
norwegian	no	176
portuguese	pt	207
romanian	ro	356
russian	ru	151
slovene	sl	1,784
spanish	es	313
swedish	sv	114
tajik	tg	163
tamil	ta	125
turkish	tr	53
uzbek	uz	288

Source

Originally distributed as part of nltk.download('stopwords'). Converted to Parquet for use with the HuggingFace datasets library.

Citation

@book{nltk,
  author    = {Bird, Steven and Klein, Ewan and Loper, Edward},
  title     = {Natural Language Processing with Python},
  publisher = {O'Reilly Media},
  year      = {2009},
  url       = {https://www.nltk.org/}
}