Head-100, Median-100, Tail-100, Mix-100 samples of Amazon Reviews 5-core (2014)
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Subsamples of the Amazon Reviews 5-core dataset (2014) (see https://jmcauley.ucsd.edu/data/amazon). Subsamples constitute entries holding for instance a rating and/or review on an amazon product for 100 users. The Head-100 data set holds entries by the 100 head users, that is the users with the highest number of entries. The Median-100 data set holds entries from 100 median users, that is users whose number of entries is around the median. The Tail-100 data set holds entries from 100 tail users, that is user with the least number of entries. Finally the Mix-100 data set holds entries by a sample of the Head-100, Median-100, and Tail-100 data sets at a ratio of 33 to 34 to 33.The data is structured into four folders representing the four review text samples, four .csv files representing the respective user-item matrices, and a jupyte' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["item review, item rating"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Subsamples of the Amazon Reviews 5-core dataset (2014) (see https://jmcauley.ucsd.edu/data/amazon). Subsamples constitute entries holding for instance a rating and/or review on an amazon product for 100 users. The Head-100 data set holds entries by the 100 head users, that is the users with the highest number of entries. The Median-100 data set holds entries from 100 median users, that is users whose number of entries is around the median. The Tail-100 data set holds entries from 100 tail users, that is user with the least number of entries. Finally the Mix-100 data set holds entries by a sample of the Head-100, Median-100, and Tail-100 data sets at a ratio of 33 to 34 to 33.The data is structured into four folders representing the four review text samples, four .csv files representing the respective user-item matrices, and a jupyte' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Subsamples of the Amazon Reviews 5-core dataset (2014) (see https://jmcauley.ucsd.edu/data/amazon). Subsamples constitute entries holding for instance a rating and/or review on an amazon product for 100 users. The Head-100 data set holds entries by the 100 head users, that is the users with the highest number of entries. The Median-100 data set holds entries from 100 median users, that is users whose number of entries is around the median. The Tail-100 data set holds entries from 100 tail users, that is user with the least number of entries. Finally the Mix-100 data set holds entries by a sample of the Head-100, Median-100, and Tail-100 data sets at a ratio of 33 to 34 to 33.The data is structured into four folders representing the four review text samples, four .csv files representing the respective user-item matrices, and a jupyte
item review, item rating