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metadata 
configs:
  - config_name: en
    data_files:
      - split: words
        path: data/en/words.parquet
  - config_name: en-basic
    data_files:
      - split: words
        path: data/en-basic/words.parquet
  - config_name: ngsl
    data_files:
      - split: words
        path: data/ngsl/words.parquet
  - config_name: toeic
    data_files:
      - split: words
        path: data/toeic/words.parquet
  - config_name: nawl
    data_files:
      - split: words
        path: data/nawl/words.parquet
  - config_name: bsl
    data_files:
      - split: words
        path: data/bsl/words.parquet
  - config_name: opinion-positive
    data_files:
      - split: words
        path: data/opinion-positive/words.parquet
  - config_name: opinion-negative
    data_files:
      - split: words
        path: data/opinion-negative/words.parquet
license: cc-by-4.0
task_categories:
  - text-classification
  - token-classification
pretty_name: NLTK Word Lists

NLTK Word Lists

English word lists from NLTK, the New General Service List Project, and Bing Liu's Opinion Lexicon.

Configs

Config Words Schema License Source
en 235,886 word NLTK (other) NLTK words corpus
en-basic 850 word Public domain Ogden Basic English (1930)
ngsl 2,809 word, rank, sfi, freq_per_million CC-BY-SA 4.0 New General Service List 1.2
toeic 1,250 word, rank, sfi, freq_per_million CC-BY-SA 4.0 TOEIC Service List 1.2
nawl 963 word, rank, band, sfi, freq_per_million CC-BY-SA 4.0 New Academic Word List 1.2
bsl 1,744 word, rank, band, sfi, freq_per_million CC-BY-SA 4.0 Business Service List 1.2
opinion-positive 2,006 word CC-BY 4.0 Hu & Liu Opinion Lexicon
opinion-negative 4,783 word CC-BY 4.0 Hu & Liu Opinion Lexicon

See Also

These related word list datasets are also accessible via nltk.corpus.words.words():

Dataset Contents NLTK access
nltk-data-hub/dolch 315 Dolch sight words, 8 POS configs words.words("dolch"), words.words("dolch-verbs"), …
nltk-data-hub/swadesh 207 Swadesh concepts × 24 languages words.words("swadesh-en"), words.words("swadesh-de"), …

Schemas

en, en-basic, opinion-positive, opinion-negative — word only

Column Type Description
word string The word

ngsl and toeic — frequency metadata, no band

Column Type Description
word string Headword / lemma
rank int Frequency rank (1 = most frequent)
sfi float Standard Frequency Index
freq_per_million float Adjusted frequency per million words

nawl and bsl — frequency metadata + pedagogical band

Column Type Description
word string Headword / lemma
rank int Frequency rank within this list
band int Pedagogical band grouping (lower = more frequent)
sfi float Standard Frequency Index
freq_per_million float Adjusted frequency per million words

Usage 

from datasets import load_dataset

ds = load_dataset("nltk-data-hub/words", "ngsl")
ds = load_dataset("nltk-data-hub/words", "nawl")
ds = load_dataset("nltk-data-hub/words", "opinion-positive")
ds = load_dataset("nltk-data-hub/words", "opinion-negative")

Via NLTK 

import nltk
nltk.download("words", hf=True)

nltk.corpus.words.words("ngsl")              # 2,809 words, frequency order
nltk.corpus.words.words("nawl")              # 963 academic words
nltk.corpus.words.words("bsl")               # 1,744 business words
nltk.corpus.words.words("toeic")             # 1,250 TOEIC words
nltk.corpus.words.words("opinion-positive")  # 2,006 positive opinion words
nltk.corpus.words.words("opinion-negative")  # 4,783 negative opinion words
nltk.corpus.words.words("en")                # 235,886 words
nltk.corpus.words.words("en-basic")          # Ogden 850
# Routed to nltk-data-hub/dolch:
nltk.corpus.words.words("dolch")             # 315 Dolch sight words
nltk.corpus.words.words("dolch-verbs")       # 92 Dolch verbs
# Routed to nltk-data-hub/swadesh:
nltk.corpus.words.words("swadesh-en")        # 207 English Swadesh words
nltk.corpus.words.words("swadesh-de")        # 207 German Swadesh words

Licenses

  • en, en-basic: distributed as part of the NLTK corpus data package.
  • ngsl, toeic, nawl, bsl: © Browne, Culligan & Phillips, licensed under CC-BY-SA 4.0.
  • opinion-positive, opinion-negative: © Bing Liu, licensed under CC-BY 4.0.

Citations 

@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/}
}

@article{ngsl,
  author    = {Browne, Charles},
  title     = {A New General Service List: The Better Mousetrap We've Been Looking For?},
  journal   = {Vocabulary Learning and Instruction},
  volume    = {3},
  number    = {2},
  pages     = {1--10},
  year      = {2014},
  doi       = {10.7820/vli.v03.2.browne}
}

@misc{nawl,
  author    = {Browne, Charles and Culligan, Brent and Phillips, Joseph},
  title     = {New Academic Word List 1.2},
  year      = {2013},
  url       = {https://www.newgeneralservicelist.com/nawl-new-academic-word-list}
}

@misc{tsl,
  author    = {Browne, Charles and Culligan, Brent},
  title     = {TOEIC Service List 1.2},
  year      = {2016},
  url       = {https://www.newgeneralservicelist.com/toeic-service-list}
}

@misc{bsl,
  author    = {Browne, Charles and Culligan, Brent},
  title     = {Business Service List 1.2},
  year      = {2016},
  url       = {https://www.newgeneralservicelist.com/business-service-list}
}

@inproceedings{opinion_lexicon,
  author    = {Hu, Minqing and Liu, Bing},
  title     = {Mining and Summarizing Customer Reviews},
  booktitle = {Proceedings of KDD-2004},
  year      = {2004},
  url       = {http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html}
}