Regenerate with 90/10 split

data/train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eb8ac2472b2df57f694e4cf87c307134ecd0325d4ca73528f75f5061510f3200
-size 296246266
+oid sha256:aec27d46c728643de93ecbcf0a5f89ea7d0a1289306ee641664a89cc80f59ffa
+size 291253866

data/validation.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3401f7214750a3e00f7fbeba2f9e72d3eef6226cb3a1fa0ce78b9ffae543695a
-size 5450651
+oid sha256:d17ee0f23cadb817b96340ddb338a4ea9063c33fed7b98c1e9f9774dae4ea4ca
+size 10489039

src/create_nl_dataset.py

@@ -81,13 +81,13 @@ if __name__ == '__main__':
     train_df = meta_df.iloc[:num_train]
     val_df = meta_df.iloc[num_train:]
 
-    # with open('tmp/train.jsonl', 'w') as train_file:
-    #     with open('tmp/val.jsonl', 'w') as val_file:
-    #         for item, split in tqdm(yield_file_contents('../origin/xml_pd.zip', train_df, val_df)):
-    #             if split == 'train':
-    #                 train_file.write('{}\n'.format(json.dumps(item)))
-    #             if split == 'validation':
-    #                 val_file.write('{}\n'.format(json.dumps(item)))
+    with open('tmp/train.jsonl', 'w') as train_file:
+        with open('tmp/val.jsonl', 'w') as val_file:
+            for item, split in tqdm(yield_file_contents('../origin/xml_pd.zip', train_df, val_df)):
+                if split == 'train':
+                    train_file.write('{}\n'.format(json.dumps(item)))
+                if split == 'validation':
+                    val_file.write('{}\n'.format(json.dumps(item)))
 
     datasets.Dataset.from_json('tmp/train.jsonl', split='train').to_parquet('../data/train.parquet')
     datasets.Dataset.from_json('tmp/val.jsonl', split='validation').to_parquet('../data/validation.parquet')