diff --git a/.changes/0.7.0.md b/.changes/0.7.0.md
new file mode 100644
index 0000000..f698f08
--- /dev/null
+++ b/.changes/0.7.0.md
@@ -0,0 +1,3 @@
+## 0.7.0 - 2026-07-13
+### Added
+* BigQuery platform adapter: run SQL evals and data checks on BigQuery. Install `evaldata[bigquery]`.
diff --git a/.changes/unreleased/Added-20260713-091055.yaml b/.changes/unreleased/Added-20260713-091055.yaml
deleted file mode 100644
index f43c0ee..0000000
--- a/.changes/unreleased/Added-20260713-091055.yaml
+++ /dev/null
@@ -1,3 +0,0 @@
-kind: Added
-body: 'BigQuery platform adapter: run SQL evals and data checks on BigQuery. Install `evaldata[bigquery]`.'
-time: 2026-07-13T09:10:55.428494+10:00
diff --git a/CHANGELOG.md b/CHANGELOG.md
index a532e91..b2a0b61 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -6,6 +6,10 @@ adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html),
 and is generated by [Changie](https://github.com/miniscruff/changie).
 
 
+## 0.7.0 - 2026-07-13
+### Added
+* BigQuery platform adapter: run SQL evals and data checks on BigQuery. Install `evaldata[bigquery]`.
+
 ## 0.6.0 - 2026-07-09
 ### Added
 * Snowflake Cortex Analyst solver: evaluate a deployed Cortex Analyst through the usual scoring cascade. `CortexAnalystSolver` sends a natural-language question to the Cortex Analyst REST endpoint (reusing your Snowflake connection's session token) and returns the SQL it generates, which evaldata runs and scores against a gold query. Install the `cortex` extra.
diff --git a/pyproject.toml b/pyproject.toml
index ebf2636..434d5c6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "evaldata"
-version = "0.6.0"
+version = "0.7.0"
 description = "Evaluate AI-generated SQL and text-to-SQL systems with pytest."
 readme = "README.md"
 license = "Apache-2.0"
diff --git a/tests/platforms/conftest.py b/tests/platforms/conftest.py
index cac341b..bb28396 100644
--- a/tests/platforms/conftest.py
+++ b/tests/platforms/conftest.py
@@ -170,7 +170,7 @@ class BigQueryFixtures:
 
     BigQuery's driver reports precise result-column types directly, so `reports_types` is `True`
     with no probe needed. `UNNEST` supplies the row-list form GoogleSQL lacks as `VALUES ... AS
-    t(n)`; the `slow_query` counts a large generated array, which scans ~0 bytes yet runs long
+    t(n)`; the `slow_query` aggregates a large generated array, which scans ~0 bytes yet runs long
     enough to overrun a sub-second budget.
     """
 
@@ -183,7 +183,7 @@ class BigQueryFixtures:
     duplicate_column_names: str = "SELECT 1 AS x, 2 AS x"
     references_missing_table: str = "SELECT * FROM does_not_exist_xyz"
     parse_error: str = "SLECT 1"
-    slow_query: str = "SELECT COUNT(*) AS n FROM UNNEST(GENERATE_ARRAY(1, 100000000))"
+    slow_query: str = "SELECT SUM(n) AS n FROM UNNEST(GENERATE_ARRAY(1, 10000000)) AS n"
     reports_types: bool = True
     renames_duplicate_columns: bool = True
 
diff --git a/uv.lock b/uv.lock
index a8c22e9..c20e7ad 100644
--- a/uv.lock
+++ b/uv.lock
@@ -899,7 +899,7 @@ wheels = [
 
 [[package]]
 name = "evaldata"
-version = "0.6.0"
+version = "0.7.0"
 source = { editable = "." }
 dependencies = [
     { name = "duckdb" },