feat(api): (1/n) datasets api clean up (#1573)

## PR Stack
- https://github.com/meta-llama/llama-stack/pull/1573
- https://github.com/meta-llama/llama-stack/pull/1625
- https://github.com/meta-llama/llama-stack/pull/1656
- https://github.com/meta-llama/llama-stack/pull/1657
- https://github.com/meta-llama/llama-stack/pull/1658
- https://github.com/meta-llama/llama-stack/pull/1659
- https://github.com/meta-llama/llama-stack/pull/1660

**Client SDK**
- https://github.com/meta-llama/llama-stack-client-python/pull/203

**CI**
- 1391130488
<img width="1042" alt="image"
src="https://github.com/user-attachments/assets/69636067-376d-436b-9204-896e2dd490ca"
/>
-- the test_rag_agent_with_attachments is flaky and not related to this
PR

## Doc
<img width="789" alt="image"
src="https://github.com/user-attachments/assets/b88390f3-73d6-4483-b09a-a192064e32d9"
/>


## Client Usage
```python
client.datasets.register(
    source={
        "type": "uri",
        "uri": "lsfs://mydata.jsonl",
    },
    schema="jsonl_messages",
    # optional 
    dataset_id="my_first_train_data"
)

# quick prototype debugging
client.datasets.register(
    data_reference={
        "type": "rows",
        "rows": [
                "messages": [...],
        ],
    },
    schema="jsonl_messages",
)
```

## Test Plan
- CI:
1387805545

```
LLAMA_STACK_CONFIG=fireworks pytest -v tests/integration/datasets/test_datasets.py
```

```
LLAMA_STACK_CONFIG=fireworks pytest -v tests/integration/scoring/test_scoring.py
```

```
pytest -v -s --nbval-lax ./docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
```

llama_stack/providers/inline/scoring/basic/scoring.py

@@ -24,7 +24,9 @@ from llama_stack.providers.utils.common.data_schema_validator import (
 from .config import BasicScoringConfig
 from .scoring_fn.bfcl_scoring_fn import BFCLScoringFn
 from .scoring_fn.equality_scoring_fn import EqualityScoringFn
-from .scoring_fn.regex_parser_math_response_scoring_fn import RegexParserMathResponseScoringFn
+from .scoring_fn.regex_parser_math_response_scoring_fn import (
+    RegexParserMathResponseScoringFn,
+)
 from .scoring_fn.regex_parser_scoring_fn import RegexParserScoringFn
 from .scoring_fn.subset_of_scoring_fn import SubsetOfScoringFn
 
@@ -82,12 +84,12 @@ class BasicScoringImpl(
         dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
         validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.scoring.value))
 
-        all_rows = await self.datasetio_api.get_rows_paginated(
+        all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
-            rows_in_page=-1,
+            limit=-1,
         )
         res = await self.score(
-            input_rows=all_rows.rows,
+            input_rows=all_rows.data,
             scoring_functions=scoring_functions,
         )
         if save_results_dataset: