Update movielens-recent-ratings.py

movielens-recent-ratings.py

@@ -2,6 +2,7 @@ import datasets
 import pandas as pd
 import re
 import json
+from sklearn.model_selection import train_test_split
 
 _CITATION = """\
 @InProceedings{huggingface:dataset,
@@ -81,13 +82,22 @@ class MovieLens(datasets.GeneratorBasedBuilder):
         df = df[
             ["imdb_id", "movie_id", "user_id", "rating", "title", "poster"]
         ]
+        # create train-test split
+        train, test = train_test_split(
+            df, test_size=0.1, shuffle=True, stratify=df["movie_id"], random_state=0
+        )
         # save
-        df.to_json(new_url+"/ratings.jsonl", orient="records", lines=True)
+        train.to_json(new_url+"/train.jsonl", orient="records", lines=True)
+        test.to_json(new_url+"/test.jsonl", orient="records", lines=True)
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": new_url+"/ratings.jsonl"}
+                gen_kwargs={"filepath": new_url+"/train.jsonl"}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": new_url+"/test.jsonl"}
             ),
         ]