2 datasets found

m
Bias-Free Dataset of Food Delivery App Reviews with Data Poisoning Attacks
data.mendeley.com
Updated Oct 13, 2023
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Hyunggu Jung (2023). Bias-Free Dataset of Food Delivery App Reviews with Data Poisoning Attacks [Dataset]. http://doi.org/10.17632/rnyrpzyw3h.1
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Unique identifier
https://doi.org/10.17632/rnyrpzyw3h.1
Dataset updated
Oct 13, 2023
Authors
Hyunggu Jung
License
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Description
This dataset consists of reviews collected from restaurants on a Korean delivery app platform running a review event. A total of 128,668 reviews were collected from 136 restaurants by crawling reviews using the Selenium library in Python. The 136 chosen restaurants run review events which demand customers to write reviews with 5 stars and photos. So the annotation of data was done by considering 1) whether the review gives five-star ratings, and 2) whether the review contains photo(s).
m
Bias-Free Dataset of Food Delivery App Reviews with Data Poisoning Attacks
data.mendeley.com
Updated Apr 2, 2024
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Click to copy link
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Cite
Hyunggu Jung (2024). Bias-Free Dataset of Food Delivery App Reviews with Data Poisoning Attacks [Dataset]. http://doi.org/10.17632/rnyrpzyw3h.2
Explore at:
Unique identifier
https://doi.org/10.17632/rnyrpzyw3h.2
Dataset updated
Apr 2, 2024
Authors
Hyunggu Jung
License
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Description
This dataset consists of reviews collected from restaurants on a Korean delivery app platform running a review event. A total of 128,668 reviews were collected from 136 restaurants by crawling reviews using the Selenium library in Python. The dataset named as Korean Reviews.csv provides review data not translated to English, and the dataset named as English Reviews.csv provides review data translated to English. The 136 chosen restaurants run review events which demand customers to write reviews with 5 stars and photos. So the annotation of data was done by considering 1) whether the review gives five-star ratings, and 2) whether the review contains photo(s).
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Click to copy link

Link copied

Cite

Hyunggu Jung (2023). Bias-Free Dataset of Food Delivery App Reviews with Data Poisoning Attacks [Dataset]. http://doi.org/10.17632/rnyrpzyw3h.1

Bias-Free Dataset of Food Delivery App Reviews with Data Poisoning Attacks

Explore at:

2 scholarly articles cite this dataset (View in Google Scholar)

Unique identifier

https://doi.org/10.17632/rnyrpzyw3h.1

Dataset updated

Oct 13, 2023

Authors

Hyunggu Jung

License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This dataset consists of reviews collected from restaurants on a Korean delivery app platform running a review event. A total of 128,668 reviews were collected from 136 restaurants by crawling reviews using the Selenium library in Python. The 136 chosen restaurants run review events which demand customers to write reviews with 5 stars and photos. So the annotation of data was done by considering 1) whether the review gives five-star ratings, and 2) whether the review contains photo(s).

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