feat(dataset api): (1.6/n) fix all iterrows callsites (#1660)

# What does this PR do?
- as title

[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])

## Test Plan
CI

```
pytest -v -s --nbval-lax ./docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
```
<img width="587" alt="image"
src="https://github.com/user-attachments/assets/4a25f493-501e-43f4-9836-d9802223a93a"
/>


[//]: # (## Documentation)

tests/integration/eval/test_eval.py

@@ -20,11 +20,11 @@ def test_evaluate_rows(llama_stack_client, text_model_id, scoring_fn_id):
     response = llama_stack_client.datasets.list()
     assert any(x.identifier == "test_dataset_for_eval" for x in response)
 
-    rows = llama_stack_client.datasetio.get_rows_paginated(
+    rows = llama_stack_client.datasets.iterrows(
         dataset_id="test_dataset_for_eval",
-        rows_in_page=3,
+        limit=3,
     )
-    assert len(rows.rows) == 3
+    assert len(rows.data) == 3
 
     scoring_functions = [
         scoring_fn_id,
@@ -40,7 +40,7 @@ def test_evaluate_rows(llama_stack_client, text_model_id, scoring_fn_id):
 
     response = llama_stack_client.eval.evaluate_rows(
         benchmark_id=benchmark_id,
-        input_rows=rows.rows,
+        input_rows=rows.data,
         scoring_functions=scoring_functions,
         benchmark_config={
             "eval_candidate": {