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stringlengths
2
17
rank
int64
1
1.74k
band
int64
1
3
sfi
float64
47.2
71.5
freq_per_million
float64
5.29
1.42k
mister
1
1
71.51
1,416.4
goods
2
1
66.71
468.5
equity
3
1
66.15
411.67
dividend
4
1
65.15
327.16
portfolio
5
1
64.97
314.17
sponsorship
6
1
62.37
172.54
inventory
7
1
63.62
230.19
transaction
8
1
64.52
283.43
non
9
1
64.38
273.88
lease
10
1
63.06
202.09
hedge
11
1
62.32
170.71
distribution
12
1
63.3
213.91
premium
13
1
62.93
196.21
client
14
1
63.27
212.36
impact
15
1
63.3
213.6
authority
16
1
63.37
217.48
obtain
17
1
62.67
184.93
maturity
18
1
61.63
145.44
publish
19
1
62.63
183.07
sometime
20
1
62.08
161.3
economist
21
1
61.59
144.2
media
22
1
61.78
150.64
marginal
23
1
60.97
124.98
seller
24
1
61.28
134.26
merger
25
1
61.37
137.16
audit
26
1
61.09
128.4
e-book
27
1
60.51
112.43
consumption
28
1
60.96
124.67
variance
29
1
59.49
88.89
depreciation
30
1
59.88
97.18
strategic
31
1
60.71
117.86
anti
32
1
59.89
97.41
recession
33
1
60.73
118.2
entity
34
1
59.9
97.74
utility
35
1
60.39
109.43
productivity
36
1
60.63
115.54
euro
37
1
59.75
94.31
overhead
38
1
58.95
78.52
organizational
39
1
59.84
96.33
commodity
40
1
60.23
105.4
monetary
41
1
60.42
110.17
aggregate
42
1
59.8
95.61
valuation
43
1
59.81
95.75
fiscal
44
1
60.13
103
payable
45
1
59.29
84.9
default
46
1
59.8
95.61
aspect
47
1
59.91
97.84
calculation
48
1
59.62
91.62
subsidiary
49
1
59.87
97.02
mid
50
1
59.86
96.85
allocation
51
1
59.23
83.75
coupon
52
1
58.95
78.52
volatility
53
1
58.81
76.01
retailer
54
1
59.85
96.67
deviation
55
1
58.64
73.1
receivable
56
1
58.03
63.59
equilibrium
57
1
59.13
81.8
pre
58
1
59.7
93.43
creditor
59
1
59.52
89.57
derivative
60
1
59.09
81.08
sub
61
1
58.37
68.7
incur
62
1
59.04
80.19
surplus
63
1
59.5
89.2
annuity
64
1
57.44
55.41
disclosure
65
1
58.9
77.68
regime
66
1
58.53
71.26
risky
67
1
58.86
76.89
leverage
68
1
58.37
68.65
broker
69
1
58.84
76.61
outstanding
70
1
58.71
74.24
internet
71
1
57.99
63
parliament
72
1
56.92
49.22
coalition
73
1
57.15
51.87
maximize
74
1
58.36
68.48
beta
75
1
57.72
59.21
lender
76
1
58.7
74.08
gross
77
1
58.51
70.91
liquidity
78
1
58.68
73.77
stockholder
79
1
56.64
46.17
vendor
80
1
58.46
70.12
fraud
81
1
58.67
73.59
allocate
82
1
58.37
68.7
regulator
83
1
58.01
63.3
par
84
1
57.74
59.38
swap
85
1
58.18
65.83
bankruptcy
86
1
58.49
70.69
provider
87
1
57.76
59.7
regression
88
1
57.04
50.54
turnover
89
1
58.29
67.41
accountant
90
1
58.1
64.59
constitution
91
1
56.67
46.43
trader
92
1
58.21
66.24
monopoly
93
1
58.34
68.23
correlation
94
1
57.41
55.1
stockmarket
95
1
56.21
41.79
ex
96
1
58.42
69.43
profitable
97
1
58.38
68.94
breach
98
1
58.08
64.23
subsidy
99
1
57.99
62.96
auditor
100
1
58.09
64.42
End of preview. Expand in Data Studio

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}
}
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