Update deepbindweight.py

deepbindweight.py

@@ -1,7 +1,4 @@
 import os
-import json
-import re
-import pandas as pd
 import datasets
 
 
@@ -27,7 +24,8 @@ class DeepBindWeight(datasets.GeneratorBasedBuilder):
                 {
                     "config": datasets.Value("string"),
                     "existed": datasets.Value("bool"),
-                    "table": datasets.Value("string")
+                    "selex": datasets.Value("string"),
+                    "tf": datasets.Value("string")
                 }
             ),
             homepage="http://tools.genes.toronto.edu/deepbind",
@@ -35,8 +33,9 @@ class DeepBindWeight(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         param_url = f"{URL}/params/{self.config.name}.txt"
-        table_url = f"{URL}/ERP001824-deepbind.txt"
-        downloaded_files = dl_manager.download_and_extract([param_url, table_url])
+        selex_url = f"{URL}/ERP001824-deepbind.xlsx"
+        tf_url = f"{URL}/ERP001824-UniprotKB.xlsx"
+        downloaded_files = dl_manager.download([param_url, selex_url, tf_url])
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files}),
         ]
@@ -45,8 +44,9 @@ class DeepBindWeight(datasets.GeneratorBasedBuilder):
         """This function returns the examples in the raw (text) form."""
         logger.info("generating examples from = %s", filepath)
         yield 0, {"config": filepath[0],
-                  "existed": os.path.exists(filepath[0]) and os.path.exists(filepath[1]),
-                  "table": filepath[1]}
+                  "existed": os.path.exists(filepath[0]) and os.path.exists(filepath[1]) and os.path.exists(filepath[2]),
+                  "selex": filepath[1],
+                  'tf': filepath[2]}
 
 
 if __name__=="__main__":