diff --git a/numerai/feature_neutralization.ipynb b/numerai/feature_neutralization.ipynb
index 57daaca..cba0668 100644
--- a/numerai/feature_neutralization.ipynb
+++ b/numerai/feature_neutralization.ipynb
@@ -2512,9 +2512,9 @@
     "from numerai_tools.scoring import correlation_contribution\n",
     "\n",
     "# Download and join in the meta_model for the validation eras\n",
-    "napi.download_dataset(f\"v4.3/meta_model.parquet\", round_num=842)\n",
+    "napi.download_dataset(f\"{DATA_VERSION}/meta_model.parquet\")\n",
     "validation[\"meta_model\"] = pd.read_parquet(\n",
-    "    f\"v4.3/meta_model.parquet\"\n",
+    "    f\"{DATA_VERSION}/meta_model.parquet\"\n",
     ")[\"numerai_meta_model\"]\n",
     "\n",
     "# Compute the per-era mmc between our predictions, the meta model, and the target values\n",
diff --git a/numerai/hello_numerai.ipynb b/numerai/hello_numerai.ipynb
index 31ee67d..fa65430 100644
--- a/numerai/hello_numerai.ipynb
+++ b/numerai/hello_numerai.ipynb
@@ -2184,9 +2184,9 @@
     "from numerai_tools.scoring import numerai_corr, correlation_contribution\n",
     "\n",
     "# Download and join in the meta_model for the validation eras\n",
-    "napi.download_dataset(f\"v4.3/meta_model.parquet\", round_num=842)\n",
+    "napi.download_dataset(f\"{DATA_VERSION}/meta_model.parquet\")\n",
     "validation[\"meta_model\"] = pd.read_parquet(\n",
-    "    f\"v4.3/meta_model.parquet\"\n",
+    "    f\"{DATA_VERSION}/meta_model.parquet\"\n",
     ")[\"numerai_meta_model\"]"
    ],
    "outputs": [
diff --git a/numerai/target_ensemble.ipynb b/numerai/target_ensemble.ipynb
index 82dadb4..e45ab17 100644
--- a/numerai/target_ensemble.ipynb
+++ b/numerai/target_ensemble.ipynb
@@ -2364,9 +2364,9 @@
     "from numerai_tools.scoring import correlation_contribution\n",
     "\n",
     "# Download and join in the meta_model for the validation eras\n",
-    "napi.download_dataset(f\"v4.3/meta_model.parquet\", round_num=842)\n",
+    "napi.download_dataset(f\"{DATA_VERSION}/meta_model.parquet\")\n",
     "validation[\"meta_model\"] = pd.read_parquet(\n",
-    "    f\"v4.3/meta_model.parquet\"\n",
+    "    f\"{DATA_VERSION}/meta_model.parquet\"\n",
     ")[\"numerai_meta_model\"]\n",
     "\n",
     "def get_mmc(validation, meta_model_col):\n",