**Published**: September 21th, 2022 <br>
**Author**: Julius Breiholz


# GARFAB-Dataset
The (G)erman corpus of annotated (A)pp (R)eviews to detect (F)eature requests (A)nd (B)ug reports (GARFAB) is a dataset to fine-tune models regarding classification of app reviews (ASRs) into "Feature Requests", "Bug Reports" and "Irrelevants" for the German language. All ASRs were collected from the Google Play Store and were classified manually by two independent annotators. A weighted and a full version are published with the following distributions of ASRs:

| | Feature Request | Bug Reports | Irrelevant | Total |
| --- | --- | --- | --- | --- |
full | 345 | 387 | 2212 | 2944 |
weighted | 345 | 345 | 345 | 1035 |

license:mit region:us
{"license": "mit"}
TAGS
#license-mit #region-us 

Published: September 21th, 2022   

Author: Julius Breiholz


GARFAB-Dataset
==============


The (G)erman corpus of annotated (A)pp (R)eviews to detect (F)eature requests (A)nd (B)ug reports (GARFAB) is a dataset to fine-tune models regarding classification of app reviews (ASRs) into "Feature Requests", "Bug Reports" and "Irrelevants" for the German language. All ASRs were collected from the Google Play Store and were classified manually by two independent annotators. A weighted and a full version are published with the following distributions of ASRs:




TAGS
#license-mit #region-us 

passage: TAGS
#license-mit #region-us 
