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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 match

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πŸ„ 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.

🌐 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

🧠 Use Cases

  • Compiler optimization research
  • Code pattern analysis
  • ML model training for Rust code understanding
  • Symbolic regression for autonomous optimization
  • Self-improving compiler intelligence

πŸ“Š Data Format

Each JSON file contains:

  • AST node usage frequencies
  • Type-aware literal patterns
  • Function call patterns
  • Import/dependency relationships
  • Compilation phase data

πŸ”„ 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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