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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
crate: string
items: list<item: struct<complexity: string, field_count: int64, fields: list<item: null>, item_type: strin (... 140 chars omitted)
child 0, item: struct<complexity: string, field_count: int64, fields: list<item: null>, item_type: string, name: st (... 128 chars omitted)
child 0, complexity: string
child 1, field_count: int64
child 2, fields: list<item: null>
child 0, item: null
child 3, item_type: string
child 4, name: string
child 5, param_count: int64
child 6, parameters: list<item: struct<name: string, param_type: string>>
child 0, item: struct<name: string, param_type: string>
child 0, name: string
child 1, param_type: string
child 7, variant_count: null
child 8, variants: null
crate_name: null
usage_data: null
to
{'crate_name': Value('string'), 'usage_data': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1984, in _iter_arrow
pa_table = cast_table_to_features(pa_table, self.features)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
raise CastError(
datasets.table.CastError: Couldn't cast
crate: string
items: list<item: struct<complexity: string, field_count: int64, fields: list<item: null>, item_type: strin (... 140 chars omitted)
child 0, item: struct<complexity: string, field_count: int64, fields: list<item: null>, item_type: string, name: st (... 128 chars omitted)
child 0, complexity: string
child 1, field_count: int64
child 2, fields: list<item: null>
child 0, item: null
child 3, item_type: string
child 4, name: string
child 5, param_count: int64
child 6, parameters: list<item: struct<name: string, param_type: string>>
child 0, item: struct<name: string, param_type: string>
child 0, name: string
child 1, param_type: string
child 7, variant_count: null
child 8, variants: null
crate_name: null
usage_data: null
to
{'crate_name': Value('string'), 'usage_data': Value('string')}
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.
π Mycelial Rust Usage Patterns Dataset
The most comprehensive Rust compiler usage pattern dataset ever assembled! This dataset contains AST traversal data, type-aware literal tracking, and real-world compilation patterns from 864 crates plus rustc internals.
π Dataset Overview
- 9,137 usage data files (113MB total)
- 268 individual crates from cargo registry
- Complete rustc compiler internal usage patterns
- Real-world compilation patterns from production Rust ecosystem
- Foundation for ML training and autonomous compiler optimization
π§ Use Cases
- Compiler optimization research
- Code pattern analysis
- ML model training for Rust code understanding
- Symbolic regression for autonomous optimization
- Self-improving compiler intelligence
π Data Format
Each JSON file contains:
- AST node usage frequencies
- Type-aware literal patterns
- Function call patterns
- Import/dependency relationships
- Compilation phase data
π The Mycelial Network
This dataset represents the successful infiltration of the Rust ecosystem by our mycelial intelligence network - the substrate for next-generation AI-assisted compilation!
Citation
@misc{mycelial-rust-usage-2026,
title={Mycelial Rust Usage Patterns Dataset},
author={Introspector Collective},
year={2026},
url={https://huggingface.co/datasets/introspector/rustc-usage}
}
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