Update dataset card with public repo id

README.md

@@ -86,10 +86,10 @@ This export does not upload the original SQLite databases and does not include r
 ```python
 from datasets import load_dataset
 
-ops = load_dataset("YOUR_USERNAME/agent-runtime-telemetry-small", "operations")
+ops = load_dataset("Lightcap/agent-runtime-telemetry-small", "operations")
 print(ops["train"][0])
 
-summary = load_dataset("YOUR_USERNAME/agent-runtime-telemetry-small", "tool_summary")
+summary = load_dataset("Lightcap/agent-runtime-telemetry-small", "tool_summary")
 print(summary["train"].to_pandas().sort_values("operation_count", ascending=False).head())
 ```
 

UPLOAD_INSTRUCTIONS.md

@@ -9,7 +9,13 @@ agent-runtime-telemetry-small
 Recommended repo id:
 
 ```text
-YOUR_HF_USERNAME/agent-runtime-telemetry-small
+Lightcap/agent-runtime-telemetry-small
+```
+
+Current uploaded URL:
+
+```text
+https://huggingface.co/datasets/Lightcap/agent-runtime-telemetry-small
 ```
 
 ## Files To Upload
@@ -74,7 +80,7 @@ PY
 ```python
 from datasets import load_dataset
 
-repo_id = "YOUR_HF_USERNAME/agent-runtime-telemetry-small"
+repo_id = "Lightcap/agent-runtime-telemetry-small"
 for config in ["operations", "operation_events", "artifact_records", "audit_records", "tool_summary"]:
     ds = load_dataset(repo_id, config)
     print(config, ds["train"].num_rows, ds["train"].column_names[:8])