diff --git a/src/components/DatasetMetadataModal.tsx b/src/components/DatasetMetadataModal.tsx
index 9658992..d8d21b3 100644
--- a/src/components/DatasetMetadataModal.tsx
+++ b/src/components/DatasetMetadataModal.tsx
@@ -101,7 +101,13 @@ export function DatasetMetadataModal({
 		['Annotation format', formatValue(dataset.annotation_format)],
 		['Number of images', formatImageCount(dataset.num_images)],
 		['Size', formatBytesDecimal(dataset.zip_size_bytes)],
-	] as const;
+		...(dataset.augmented_num_images != null
+			? ([['Augmented images', formatImageCount(dataset.augmented_num_images)]] as const)
+			: []),
+		...(dataset.augmented_zip_size_bytes != null
+			? ([['Augmented size', formatBytesDecimal(dataset.augmented_zip_size_bytes)]] as const)
+			: []),
+	] as [string, string][];
 	const loader = formatLoaderInstructions(dataset);
 
 	return (
diff --git a/src/lib/datasets.ts b/src/lib/datasets.ts
index a542f5d..f4056ff 100644
--- a/src/lib/datasets.ts
+++ b/src/lib/datasets.ts
@@ -17,6 +17,7 @@ export interface Dataset {
   annotation_format: string | null;
   num_images: number | null;
   augmented_num_images: number | null;
+  augmented_zip_size_bytes: number | null;
   documentation: string | null;
   classes: string | null;
   stats_mean: number[] | null;
@@ -129,6 +130,7 @@ function normalizeDataset(raw: unknown): Dataset | null {
     annotation_format: firstString(raw.annotation_format),
     num_images: toNumber(raw.num_images ?? raw.n_images ?? raw.image_count),
     augmented_num_images: augmentedNumImages,
+    augmented_zip_size_bytes: toNumber(raw.augmented_zip_size_bytes ?? raw.augmentedZipSizeBytes),
     documentation: firstString(raw.documentation, raw.docs_url, raw.doc_url, raw.url),
     classes: toText(raw.classes),
     stats_mean: toNumberArray(raw.stats_mean ?? stats?.mean),
@@ -158,6 +160,7 @@ function mergeDataset(current: Dataset, incoming: Dataset): Dataset {
     annotation_format: current.annotation_format ?? incoming.annotation_format,
     num_images: current.num_images ?? incoming.num_images,
     augmented_num_images: current.augmented_num_images ?? incoming.augmented_num_images,
+    augmented_zip_size_bytes: current.augmented_zip_size_bytes ?? incoming.augmented_zip_size_bytes,
     documentation: current.documentation ?? incoming.documentation,
     classes: current.classes ?? incoming.classes,
     stats_mean: current.stats_mean ?? incoming.stats_mean,
diff --git a/static/data/hf_datasets.json b/static/data/hf_datasets.json
index 13b9232..e7ab61e 100644
--- a/static/data/hf_datasets.json
+++ b/static/data/hf_datasets.json
@@ -84,6 +84,89 @@
     "citation": null,
     "parent_dataset": null,
     "zip_size_bytes": 246700000,
+    "augmented_zip_size_bytes": 6020000000,
+    "source": "huggingface"
+  },
+  {
+    "name": "synthetic_cowpea_pod_detection",
+    "machine_learning_task": "object_detection",
+    "agricultural_task": "crop_detection",
+    "environment": "field",
+    "real_or_synthetic": "synthetic",
+    "crop_types": [
+      "cowpea"
+    ],
+    "sensor_modality": "rgb",
+    "platform": "ground",
+    "input_data_format": "image_folder",
+    "annotation_format": "coco_json",
+    "num_images": 1440,
+    "augmented_num_images": 7200,
+    "classes": [
+      "Pod"
+    ],
+    "stats_mean": null,
+    "stats_std": null,
+    "examples_image_url": null,
+    "license": null,
+    "citation": null,
+    "parent_dataset": null,
+    "zip_size_bytes": 222000000,
+    "augmented_zip_size_bytes": 5440000000,
+    "source": "huggingface"
+  },
+  {
+    "name": "GEMINI_cowpea_pod_detection",
+    "machine_learning_task": "object_detection",
+    "agricultural_task": "crop_detection",
+    "environment": "field",
+    "location": "California",
+    "real_or_synthetic": "real",
+    "crop_types": [
+      "cowpea"
+    ],
+    "sensor_modality": "rgb",
+    "platform": "ground",
+    "input_data_format": "image_folder",
+    "annotation_format": "coco_json",
+    "num_images": 569,
+    "classes": [
+      "Pod"
+    ],
+    "stats_mean": null,
+    "stats_std": null,
+    "examples_image_url": null,
+    "license": null,
+    "citation": null,
+    "parent_dataset": null,
+    "zip_size_bytes": 45600000,
+    "source": "huggingface"
+  },
+  {
+    "name": "GEMINI_cowpea_flower_detection",
+    "machine_learning_task": "object_detection",
+    "agricultural_task": "crop_detection",
+    "location": "California",
+    "environment": "field",
+    "real_or_synthetic": "real",
+    "crop_types": [
+      "cowpea"
+    ],
+    "sensor_modality": "rgb",
+    "platform": "ground",
+    "input_data_format": "image_folder",
+    "annotation_format": "coco_json",
+    "num_images": 990,
+    "classes": [
+      "Flower"
+    ],
+    "stats_mean": null,
+    "stats_std": null,
+    "examples_image_url": null,
+    "license": null,
+    "citation": null,
+    "parent_dataset": null,
+    "zip_size_bytes": 79700000,
     "source": "huggingface"
   }
 ]
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