Row-level dataset preview.
Functions
execute_read_data(**kwargs) -> Dict[str, Any]
Read and preview actual rows from a dataset using Dataset.to_pandas().
Backs the
tuiml_read_data tool.Parameters
data
str
Dataset to read: dataset_id, file path, or built-in name (arrives via
**kwargs, like all parameters below).
n_rows
int
= 10
Number of rows to return, capped at 100.
mode
str
= 'head'
Row selection mode:
'head', 'tail', 'sample', or 'indices'.
indices
list of int
= None
Explicit row indices, used with
mode='indices'.
columns
list of str
= None
Subset of columns to include; unknown names are dropped.
target
str
= None
Target column name, kept in the output when
include_target.
include_target
bool
= True
Whether to include the target column in the preview.
Returns
result
dict
On success:
status ('success'), name, shape, columns, n_rows_returned, and rows (list of column -> value dicts with floats rounded to 6 places). On failure: status ('error'), error and error_type.