AnnotationRunResult
AnnotationRunResult(
model,
output_path,
experiment_directory,
config,
char_counts,
timing_data,
emissions,
dataframe,
reasoning_traces=None,
)Result returned by run_annotation.
Attributes
| Name | Type | Description |
|---|---|---|
| model | str | Ollama model name used for the run, such as "gemma3:270m". |
| output_path | Path | Filesystem path to the generated annotation CSV. |
| experiment_directory | Path | Directory containing run metadata and outputs. |
| config | dict[str, Any] | Serializable experiment configuration written to config.json. |
| char_counts | dict[str, Any] | Prompt and response character counts collected during the run. |
| timing_data | dict[str, Any] | Inference timing summary, including total and average seconds. |
| emissions | float | None | CodeCarbon estimate in kilograms of CO2 equivalent, or None. |
| dataframe | pd.DataFrame | Pandas DataFrame containing the annotated rows written to disk. |
| reasoning_traces | list[dict[str, Any]] | None | Per-query reasoning records captured from models that expose them. |