added other spatial configs

ark_example.py

@@ -33,6 +33,7 @@ TMA24_R9C1 -> fov10
 
 """
 
+from ensurepip import version
 import datasets
 import pathlib
 
@@ -57,8 +58,6 @@ _LICENSE = "https://github.com/angelolab/ark-analysis/blob/main/LICENSE"
 
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-# _URL_REPO = "https://huggingface.co/datasets/angelolab/ark_example"
-
 
 _URL_DATA = {
     "image_data": "./data/image_data.zip",
@@ -99,6 +98,16 @@ _URL_DATASET_CONFIGS = {
         "image_data": _URL_DATA["image_data"],
         "cell_table": _URL_DATA["cell_table"],
         "spatial_lda": _URL_DATA["spatial_lda"],
+    },
+    "neighborhood_analysis": {
+        "image_data": _URL_DATA["image_data"],
+        "cell_table": _URL_DATA["cell_table"],
+        "deepcell_output": _URL_DATA["deepcell_output"],
+    },
+    "pairwise_spatial_enrichment": {
+        "image_data": _URL_DATA["image_data"],
+        "cell_table": _URL_DATA["cell_table"],
+        "deepcell_output": _URL_DATA["deepcell_output"],
     }
 }
 
@@ -154,7 +163,16 @@ class ArkExample(datasets.GeneratorBasedBuilder):
             version=VERSION,
             description="This configuration contains data used by the Spatial LDA - Training and Inference Notebook."
         ),
-        
+        datasets.BuilderConfig(
+            name="neighborhood_analysis",
+            version=VERSION,
+            description="This configuration contains data used by the Neighborhood Analysis Notebook."
+        ),
+        datasets.BuilderConfig(
+            name="pairwise_spatial_enrichment",
+            version=VERSION,
+            description="This configuration contains data used by the Pairwise Spatial Enrichment Notebook."
+        )
     ]
 
     def _info(self):
@@ -167,6 +185,8 @@ class ArkExample(datasets.GeneratorBasedBuilder):
             "fiber_segmentation",
             "LDA_preprocessing",
             "LDA_training_inference",
+            "neighborhood_analysis",
+            "pairwise_spatial_enrichment",
         ]:
             features = datasets.Features(
                 {f: datasets.Value("string") for f in _URL_DATASET_CONFIGS[self.config.name].keys()}