text stringlengths 27 101 |
|---|
Word Bigram Conc.M Conc.SD Unknown Total Percent_known SUBTLEX Dom_Pos |
roadsweeper 0 4.85 0.37 1 27 0.96 0 0 |
traindriver 0 4.54 0.71 3 29 0.90 0 0 |
tush 0 4.45 1.01 3 25 0.88 66 0 |
hairdress 0 3.93 1.28 0 29 1.00 1 0 |
pharmaceutics 0 3.77 1.41 4 26 0.85 0 0 |
hoover 0 3.76 1.23 4 29 0.86 162 0 |
shopkeeping 0 3.18 1.19 1 29 0.97 0 0 |
pushiness 0 2.48 1.24 1 30 0.97 0 0 |
underdevelop 0 2.37 1.4 0 30 1.00 0 0 |
tirelessness 0 2.28 1.28 1 30 0.97 0 0 |
oldfashioned 0 2.26 1.02 0 27 1.00 0 0 |
wellmannered 0 2.25 1.14 2 30 0.93 0 0 |
dismissiveness 0 1.83 1 1 30 0.97 0 0 |
spitefulness 0 1.8 0.76 0 25 1.00 0 0 |
untruthfulness 0 1.73 0.92 4 30 0.87 0 0 |
dispiritedness 0 1.56 0.71 3 28 0.89 0 0 |
sled 0 5 0 0 28 1.00 149 Adjective |
plunger 0 4.96 0.2 0 26 1.00 48 Adjective |
human 0 4.93 0.26 0 28 1.00 6363 Adjective |
waterbed 0 4.93 0.27 0 27 1.00 27 Adjective |
cymbal 0 4.92 0.28 1 25 0.96 13 Adjective |
ginger 0 4.92 0.27 0 26 1.00 327 Adjective |
bobsled 0 4.9 0.41 0 29 1.00 48 Adjective |
cardboard 0 4.9 0.41 0 29 1.00 138 Adjective |
olive 0 4.9 0.31 0 30 1.00 375 Adjective |
dogsled 0 4.89 0.32 0 27 1.00 2 Adjective |
rubber 0 4.86 0.74 0 29 1.00 714 Adjective |
soybean 0 4.82 0.77 0 28 1.00 25 Adjective |
tangerine 0 4.81 0.62 0 27 1.00 38 Adjective |
headrest 0 4.8 0.76 0 30 1.00 6 Adjective |
eucalyptus 0 4.77 0.57 0 30 1.00 25 Adjective |
saltwater 0 4.77 0.82 0 30 1.00 31 Adjective |
armrest 0 4.76 0.83 0 29 1.00 8 Adjective |
paramedic 0 4.74 0.45 1 24 0.96 107 Adjective |
liquid 0 4.72 0.54 0 25 1.00 395 Adjective |
billfold 0 4.71 1 2 26 0.92 12 Adjective |
canine 0 4.71 0.6 0 28 1.00 86 Adjective |
flowerbed 0 4.71 0.6 0 28 1.00 6 Adjective |
soy 0 4.7 0.6 0 30 1.00 118 Adjective |
bald 0 4.69 0.47 0 26 1.00 496 Adjective |
lilac 0 4.69 0.97 0 29 1.00 39 Adjective |
hemorrhoid 0 4.68 0.72 1 29 0.97 18 Adjective |
orange 0 4.66 0.9 0 29 1.00 1138 Adjective |
arachnid 0 4.65 0.69 3 29 0.90 13 Adjective |
underarm 0 4.63 0.72 0 30 1.00 4 Adjective |
barefoot 0 4.62 0.68 0 29 1.00 121 Adjective |
bearded 0 4.62 0.7 1 27 0.96 65 Adjective |
thyroid 0 4.61 0.74 0 28 1.00 28 Adjective |
wooden 0 4.61 0.63 0 28 1.00 367 Adjective |
sleeveless 0 4.6 0.5 0 25 1.00 5 Adjective |
concrete 0 4.59 1.05 0 27 1.00 379 Adjective |
panty 0 4.59 0.91 0 29 1.00 53 Adjective |
pregnant 0 4.59 0.89 0 27 1.00 2653 Adjective |
helmeted 0 4.58 0.7 1 27 0.96 1 Adjective |
hula 0 4.58 0.64 3 29 0.90 100 Adjective |
female 0 4.57 0.88 0 28 1.00 1612 Adjective |
crematory 0 4.56 0.58 1 28 0.96 14 Adjective |
pigtailed 0 4.55 0.78 0 29 1.00 2 Adjective |
sphincter 0 4.54 0.99 1 27 0.96 57 Adjective |
backrest 0 4.52 0.92 1 26 0.96 1 Adjective |
blonde 0 4.52 1.09 0 29 1.00 710 Adjective |
farmhand 0 4.52 1.01 0 27 1.00 3 Adjective |
fat 0 4.52 0.85 0 27 1.00 4051 Adjective |
hairless 0 4.52 0.94 0 27 1.00 30 Adjective |
afghan 0 4.5 0.92 0 28 1.00 29 Adjective |
binocular 0 4.5 1.03 0 26 1.00 1 Adjective |
naked 0 4.5 1 0 28 1.00 2002 Adjective |
hairy 0 4.48 0.98 0 27 1.00 322 Adjective |
saline 0 4.48 0.94 0 27 1.00 175 Adjective |
sudsy 0 4.48 1 3 28 0.89 3 Adjective |
wet 0 4.46 0.58 0 28 1.00 2000 Adjective |
wooded 0 4.46 0.84 0 28 1.00 17 Adjective |
male 0 4.45 1.02 0 29 1.00 1731 Adjective |
rusted 0 4.44 0.85 0 27 1.00 36 Adjective |
aquamarine 0 4.43 0.92 0 28 1.00 23 Adjective |
shirtless 0 4.43 0.97 0 30 1.00 14 Adjective |
headless 0 4.42 0.95 0 26 1.00 67 Adjective |
solid 0 4.42 0.81 0 26 1.00 998 Adjective |
beaded 0 4.41 1.08 0 27 1.00 11 Adjective |
blond 0 4.41 1.12 2 29 0.93 533 Adjective |
soapy 0 4.41 0.93 0 27 1.00 25 Adjective |
woodcutting 0 4.41 0.68 0 29 1.00 1 Adjective |
prosthetic 0 4.4 1.04 0 25 1.00 34 Adjective |
roast 0 4.4 0.97 0 30 1.00 499 Adjective |
tartar 0 4.4 1.13 0 30 1.00 76 Adjective |
newborn 0 4.39 1.03 0 28 1.00 128 Adjective |
feline 0 4.38 0.98 1 30 0.97 46 Adjective |
undercooked 0 4.38 0.71 0 24 1.00 9 Adjective |
vertebrate 0 4.38 0.9 1 27 0.96 7 Adjective |
bloodstained 0 4.37 1.18 0 27 1.00 16 Adjective |
flatbed 0 4.37 0.97 0 27 1.00 21 Adjective |
joint 0 4.37 1.08 0 27 1.00 1405 Adjective |
preschool 0 4.37 1.04 0 27 1.00 61 Adjective |
beardless 0 4.36 0.91 0 28 1.00 8 Adjective |
indigo 0 4.36 0.99 0 28 1.00 16 Adjective |
frozen 0 4.34 1.2 0 29 1.00 782 Adjective |
barefooted 0 4.33 1.3 0 27 1.00 9 Adjective |
hashish 0 4.33 1.33 2 29 0.93 23 Adjective |
jeweled 0 4.33 0.78 0 27 1.00 15 Adjective |
End of preview. Expand
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Screenplay Lexicons
This dataset contains lexicon files used for screenplay feature extraction:
Files
1. Concreteness Ratings (Concreteness_ratings_Brysbaert_et_al_BRM.txt)
- Source: Brysbaert et al. (2014) - Behavior Research Methods
- Content: Concreteness ratings for 40,000 English words
- Format: TSV with columns: Word, Bigram, Conc.M, Conc.SD, Unknown, Total, Percent_known, SUBTLEX, Dom_Pos
- Size: ~1.6 MB
2. Distributional Polarity Lexicon (DPLp-EN_lrec2016.txt)
- Source: Distributional Polarity Lexicon (DPLp-EN) from LREC 2016
- Content: Sentiment polarity scores for English words
- Format: TSV with word::pos and positive,negative,neutral scores
- Size: ~4.6 MB
Usage
from huggingface_hub import hf_hub_download
# Download concreteness lexicon
conc_path = hf_hub_download(
repo_id="Ishaank18/screenplay-lexicons",
filename="Concreteness_ratings_Brysbaert_et_al_BRM.txt",
repo_type="dataset"
)
# Download polarity lexicon
pol_path = hf_hub_download(
repo_id="Ishaank18/screenplay-lexicons",
filename="DPLp-EN_lrec2016.txt",
repo_type="dataset"
)
Citation
If you use these lexicons, please cite the original papers:
Concreteness Ratings:
Brysbaert, M., Warriner, A.B., & Kuperman, V. (2014).
Concreteness ratings for 40 thousand generally known English word lemmas.
Behavior Research Methods, 46, 904-911.
Distributional Polarity Lexicon:
Abdaoui, A., Azé, J., Bringay, S., & Poncelet, P. (2016).
Feel: French Expanded Emotion Lexicon.
Language Resources and Evaluation, 50(4), 1-23.
License
These lexicons are provided for research purposes. Please refer to the original publications for licensing information.
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