Update jolma_split.py

jolma_split.py

@@ -1,3 +1,4 @@
+import os.path
 import re
 import pandas as pd
 import datasets
@@ -56,7 +57,6 @@ URL = "https://huggingface.co/datasets/thewall/jolma_split/resolve/main"
 """
 p70c10s61087t100  p70:70种蛋白，c10:count>10的序列，s61087：总共61087条序列，t100:小于100条序列的蛋白质划分至训练集
 """
-
 class JolmaSplitConfig(datasets.BuilderConfig):
     def __init__(self, protein_prefix="", protein_suffix="", max_length=1000, max_gene_num=1,
                  aptamer_prefix="", aptamer_suffix="", **kwargs):
@@ -121,8 +121,12 @@ class JolmaSubset(datasets.GeneratorBasedBuilder):
         return int(pattern.search(self.get_protein_info(sra_id)["Ligand"]).group(0))
 
     def _split_generators(self, dl_manager):
-        train_file = dl_manager.download(f"{URL}/{self.config.name}_train.csv.gz")
-        test_file = dl_manager.download(f"{URL}/{self.config.name}_test.csv.gz")
+        if self.config.data_dir is not None and os.path.exists(self.config.data_dir):
+            train_file = os.path.join(self.config.data_dir, f"{self.config.name}_train.csv.gz")
+            test_file = os.path.join(self.config.data_dir, f"{self.config.name}_test.csv.gz")
+        else:
+            train_file = dl_manager.download(f"{URL}/{self.config.name}_train.csv.gz")
+            test_file = dl_manager.download(f"{URL}/{self.config.name}_test.csv.gz")
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_file},),
             datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_file}, ),