use all data for training for now

binding_affinity.py

@@ -48,8 +48,7 @@ _LICENSE = "BSD two-clause"
 # The HuggingFace dataset library don't host the datasets but only point to the original files
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 _URLs = {
-#    'default': "https://huggingface.co/datasets/jglaser/binding_affinity/resolve/main/data/all.parquet",
-    'default': "https://huggingface.co/datasets/jglaser/binding_affinity/",
+    'default': ["https://huggingface.co/datasets/jglaser/binding_affinity/resolve/main/data/all.parquet"],
 }
 
 
@@ -127,26 +126,26 @@ class BindingAffinity(datasets.ArrowBasedBuilder):
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train.parquet"),
+                    "filepath": os.path.join(data_dir, "all.parquet"),
                     "split": "train",
                 },
             ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "test.parquet"),
-                    "split": "test"
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "dev.parquet"),
-                    "split": "dev",
-                },
-            ),
+#            datasets.SplitGenerator(
+#                name=datasets.Split.TEST,
+#                # These kwargs will be passed to _generate_examples
+#                gen_kwargs={
+#                    "filepath": os.path.join(data_dir, "test.parquet"),
+#                    "split": "test"
+#                },
+#            ),
+#            datasets.SplitGenerator(
+#                name=datasets.Split.VALIDATION,
+#                # These kwargs will be passed to _generate_examples
+#                gen_kwargs={
+#                    "filepath": os.path.join(data_dir, "dev.parquet"),
+#                    "split": "dev",
+#                },
+#            ),
         ]
 
     def _generate_examples(