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Human typicality ratings for the Zoo dataset

This repository provides human typicality ratings for each animal exemplar from three categories (bird, fish, mammal) which are based on the original Zoo dataset (see below).

Human typicality ratings were used in:

Belohlavek, R., Mikula, T.: Typicality: a formal concept analysis account (2021 - preprint).

Zoo dataset

Original Zoo dataset [1] consists of 101 animals and 17 features. Each animal is member of one of the 7 categories (types).

Dataset can be downloaded here: https://archive.ics.uci.edu/ml/datasets/zoo.

Selected categories

Bird, fish, mammal (type 1, 2, 4 in Zoo dataset) categories were selected for assessing typicality ratings. All exemplars for each category are listed in following table. Note that girl exemplar was omitted.

Category Count Exemplars
bird 20 chicken, crow, dove, duck, flamingo, gull, hawk, kiwi, lark, ostrich, parakeet, penguin, pheasant, rhea, skimmer, skua, sparrow, swan, vulture, wren
fish 13 bass, carp, catfish, chub, dogfish, haddock, herring, pike, piranha, seahorse, sole, stingray, tuna
mammal 40 aardvark, antelope, bear, boar, buffalo, calf, cavy, cheetah, deer, dolphin, elephant, fruitbat, giraffe, goat, gorilla, hamster, hare, leopard, lion, lynx, mink, mole, mongoose, opossum, oryx, platypus, polecat, pony, porpoise, puma, pussycat, raccoon, reindeer, seal, sealion, squirrel, vampire, vole, wallaby, wolf

Typicality ratings

Mean typicality ratings for each exemplar are available in data/typicality ratings/ folder. Alongside mean value, sample standard deviation (std) and number of non-missing human assessment (nonmissing) was calculated.

Description of the experiment

Respondents were native Czech and Slovak speakers. Each exemplar was translated to Czech language according to exemplar_translation.py file.

Each exemplar from selected categories was assessed on scale 1 (least typical) to 5 (most typical) by up to 242 respondents (136 were women, 106 were men). Participants were able to see all exemplars from given category at once and were allowed to skip unknown exemplars, so not all of the exemplars were assessed by all 242 respondents. Median, minimum and maximum age of participants was 23, 17 and 81.

The original_responses.csv file includes unprocessed responses from participants.

Attachments

For convenient experiments, subset of original Zoo dataset is available as attachment to this dataset in data/features/mini_zoo.csv.

Type Features
bool hair, feathers, eggs, milk, airborne, aquatic, predator, toothed, backbone, breathes, venomous, fins, tail, domestic, catsize, no legs, two legs, four legs
str exemplar, category

List of modifications to the original Zoo dataset:

  • Original numeric legs feature was converted to multiple boolean features (no legs, two legs, four legs).
  • As mentioned, girl exemplar was removed.
  • Original animal name feature was renamed as exemplar.
  • Original type feature was renamed as category and original numeric values (1, 2, 4) are transformed to strings (bird, fish, mammal).
  • Exemplars from other categories are removed.

References

[1] Dua, D., Graff, C.: UCI Machine Learning Repository. University of California, Irvine, School of Information and Computer Sciences (2019). http://archive. ics.uci.edu/ml

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Dataset of human typicality ratings for each animal exemplar from three categories (bird, fish, mammal) based on the original Zoo dataset.

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