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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
ptr: uint64
-- schema metadata --
icebug_disk_version: 'v1'
to
{'target': Value('uint64'), 'investment_amount': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
ptr: uint64
-- schema metadata --
icebug_disk_version: 'v1'
to
{'target': Value('uint64'), 'investment_amount': Value('float64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Small Knowledge Graphs (small-kgs)
A collection of small knowledge graphs in multiple formats for graph ML research and development.
Dataset Structure
This dataset contains knowledge graphs in three formats:
graph-std
Compressed Sparse Row (CSR) graph format with parquet files containing:
- Node data (persons, organizations, events, concepts, places, knowledge graphs)
- Edge indices and indirection pointers
- Node/edge type mappings
- Schema definition
duckdb
DuckDB database format for efficient analytical queries on graph data.
lbdb
LadybugDB format for graph database operations using the LadybugDB embedded graph database.
Usage
from datasets import load_dataset
# Load graph-std version
dataset = load_dataset("ladybugdb/small-kgs", name="graph-std")
# Load duckdb version
dataset = load_dataset("ladybugdb/small-kgs", name="duckdb")
# Load lbdb version
dataset = load_dataset("ladybugdb/small-kgs", name="lbdb")
Contents
| Version | File | Size |
|---|---|---|
| graph-std | csr_graph_*.parquet | ~200KB |
| duckdb | kg_history.duckdb | ~5MB |
| lbdb | kg_history.lbdb | ~8MB |
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