docs: add large_50, large_100 to readme

README.md

@@ -1,6 +1,70 @@
 ---
 dataset_info:
-  config_name: small_50
+- config_name: large_100
+  features:
+  - name: lrs
+    sequence:
+      array4_d:
+        shape:
+        - 3
+        - 16
+        - 16
+        - 16
+        dtype: float32
+  - name: hr
+    dtype:
+      array4_d:
+        shape:
+        - 3
+        - 64
+        - 64
+        - 64
+        dtype: float32
+  splits:
+  - name: train
+    num_bytes: 268237120
+    num_examples: 80
+  - name: validation
+    num_bytes: 33529640
+    num_examples: 10
+  - name: test
+    num_bytes: 33529640
+    num_examples: 10
+  download_size: 329464088
+  dataset_size: 335296400
+- config_name: large_50
+  features:
+  - name: lrs
+    sequence:
+      array4_d:
+        shape:
+        - 3
+        - 16
+        - 16
+        - 16
+        dtype: float32
+  - name: hr
+    dtype:
+      array4_d:
+        shape:
+        - 3
+        - 64
+        - 64
+        - 64
+        dtype: float32
+  splits:
+  - name: train
+    num_bytes: 134118560
+    num_examples: 40
+  - name: validation
+    num_bytes: 16764820
+    num_examples: 5
+  - name: test
+    num_bytes: 16764820
+    num_examples: 5
+  download_size: 164732070
+  dataset_size: 167648200
+- config_name: small_50
   features:
   - name: lrs
     sequence:

jhtdb.py

@@ -90,6 +90,8 @@ class JHTDB(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.1.0")
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="small_50", version=VERSION, description=""),
+        datasets.BuilderConfig(name="large_50", version=VERSION, description=""),
+        datasets.BuilderConfig(name="large_100", version=VERSION, description=""),
     ]
 
     DEFAULT_CONFIG_NAME = "large_50"