Contains information from kaggle [1], which is made available here under the Open Database License (ODbL) [2]. Download "rotten_tomatoes" [1] data set. Will return two pandas.DataFrame-s, first with train part (rotten_tomatoes.data) and second with test part (rotten_tomatoes.test)
()
| 170 | |
| 171 | |
| 172 | def rotten_tomatoes(): |
| 173 | """ |
| 174 | Contains information from kaggle [1], which is made available here under the Open Database License (ODbL) [2]. |
| 175 | |
| 176 | Download "rotten_tomatoes" [1] data set. |
| 177 | |
| 178 | Will return two pandas.DataFrame-s, first with train part (rotten_tomatoes.data) and second with test part |
| 179 | (rotten_tomatoes.test) of the dataset. |
| 180 | |
| 181 | NOTE: This is a preprocessed version of the dataset. |
| 182 | |
| 183 | [1]: https://www.kaggle.com/rpnuser8182/rotten-tomatoes |
| 184 | [2]: https://opendatacommons.org/licenses/odbl/1-0/index.html |
| 185 | """ |
| 186 | url = 'https://catboost-opensource.s3.yandex.net/rotten_tomatoes.tar.gz' |
| 187 | md5 = 'a07fed612805ac9e17ced0d82a96add4' |
| 188 | dataset_name, train_file, test_file = 'rotten_tomatoes', 'learn.tsv', 'test.tsv' |
| 189 | return _load_dataset_pd(url, md5, dataset_name, train_file, test_file, sep='\t') |
| 190 | |
| 191 | |
| 192 | def imdb(): |
nothing calls this directly
no test coverage detected