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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
version: int64
source: string
license: string
words: list<item: string>
  child 0, item: string
ranks: list<item: int64>
  child 0, item: int64
quant: string
nPcs: int64
dim: int64
vocabSize: int64
model: string
dtype: string
to
{'source': Value('string'), 'model': Value('string'), 'vocabSize': Value('int64'), 'dim': Value('int64'), 'dtype': Value('string'), 'quant': Value('string'), 'nPcs': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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/json/json.py", line 361, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              version: int64
              source: string
              license: string
              words: list<item: string>
                child 0, item: string
              ranks: list<item: int64>
                child 0, item: int64
              quant: string
              nPcs: int64
              dim: int64
              vocabSize: int64
              model: string
              dtype: string
              to
              {'source': Value('string'), 'model': Value('string'), 'vocabSize': Value('int64'), 'dim': Value('int64'), 'dtype': Value('string'), 'quant': Value('string'), 'nPcs': Value('int64')}
              because column names don't match

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noisy-text embedding bundles

Quantized token-embedding bundles for the embedding-knn noise strategy of the noisy-text playground (#28). Flat layout, four files per source:

  • <source>.int8.bin int8 codes, row-major, K x d
  • <source>.scales.f32.bin per-row scales, length K
  • <source>.transform.f32.bin mean / PCA / eigenvalue / whitening blob
  • <source>.meta.json header

Sources: bert-base-uncased, gpt2, gpt2-lmhead. Regenerate with scripts/export_embeddings.py in the noisy-text repo.

Also contains word-vocab-50k.json, which is a collection of the 50k most common words from https://huggingface.co/stanfordnlp/glove/resolve/main/glove.840B.300d.zip to be used by the word-level tokenizer.

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