forked from phoenix-oss/llama-stack-mirror
2ffa2b77ed
# What does this PR do? Move pagination logic from LocalFS and HuggingFace implementations into a common helper function to ensure consistent pagination behavior across providers. This reduces code duplication and centralizes pagination logic in one place. ## Test Plan Run this script: ``` from llama_stack_client import LlamaStackClient # Initialize the client client = LlamaStackClient(base_url="http://localhost:8321") # Register a dataset response = client.datasets.register( purpose="eval/messages-answer", # or "eval/question-answer" or "post-training/messages" source={"type": "uri", "uri": "huggingface://datasets/llamastack/simpleqa?split=train"}, dataset_id="my_dataset", # optional, will be auto-generated if not provided metadata={"description": "My evaluation dataset"}, # optional ) # Verify the dataset was registered by listing all datasets datasets = client.datasets.list() print(f"Registered datasets: {[d.identifier for d in datasets]}") # You can then access the data using the datasetio API # rows = client.datasets.iterrows(dataset_id="my_dataset", start_index=1, limit=2) rows = client.datasets.iterrows(dataset_id="my_dataset") print(f"Data: {rows.data}") ``` And play with `start_index` and `limit`. [//]: # (## Documentation) Signed-off-by: Sébastien Han <seb@redhat.com> |
||
|---|---|---|
| .. | ||
| css | ||
| providers/vector_io | ||
| llama-stack-logo.png | ||
| llama-stack-spec.html | ||
| llama-stack-spec.yaml | ||
| llama-stack.png | ||
| remote_or_local.gif | ||
| safety_system.webp | ||
