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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
source: string
raw_dir: string
text_column: string
target_symbols_per_lang: int64
shard_symbols: int64
total_symbols: int64
symbol_dtype: string
symbol_space: string
myte_vocab_size: int64
eod_id: int64
pad_id: int64
num_predictable_symbols: int64
append_eod_per_document: bool
requires_rust_fast_rewriter: bool
cache_env: struct<THESIS_SCRATCH_ROOT: string, THESIS_CACHE_ROOT: string, HF_HOME: string, HF_DATASETS_CACHE: s (... 212 chars omitted)
child 0, THESIS_SCRATCH_ROOT: string
child 1, THESIS_CACHE_ROOT: string
child 2, HF_HOME: string
child 3, HF_DATASETS_CACHE: string
child 4, HF_HUB_CACHE: string
child 5, HUGGINGFACE_HUB_CACHE: string
child 6, XDG_CACHE_HOME: string
child 7, UV_CACHE_DIR: string
child 8, PIP_CACHE_DIR: string
child 9, TORCH_HOME: string
child 10, CARGO_TARGET_DIR: string
child 11, MPLCONFIGDIR: string
child 12, TMPDIR: string
languages: list<item: struct<flores_code: string, iso_code: string, symbols_written: int64, documents_used: int (... 136 chars omitted)
child 0, item: struct<flores_code: string, iso_code: string, symbols_written: int64, documents_used: int64, documen (... 124 chars omitted)
child 0, flores_code: string
child 1, iso_code: string
child 2, symbols_written: int64
child 3, documents_used: int64
child 4, documents_seen: int64
child 5, shards: list<item: struct<path: string, symbols: int64>>
child 0, item: struct<path: string, symbols: int64>
child 0, path: string
child 1, symbols: int64
child 6, seconds: double
child 7, skipped_invalid_documents: int64
batches: list<item: struct<name: string, symbols_per_lang: int64, local_dir: string, remote_shard_offset: int (... 4 chars omitted)
child 0, item: struct<name: string, symbols_per_lang: int64, local_dir: string, remote_shard_offset: int64>
child 0, name: string
child 1, symbols_per_lang: int64
child 2, local_dir: string
child 3, remote_shard_offset: int64
flores_code: string
documents_seen: int64
skipped_invalid_documents: int64
symbols_written: int64
shards: list<item: struct<path: string, symbols: int64>>
child 0, item: struct<path: string, symbols: int64>
child 0, path: string
child 1, symbols: int64
documents_used: int64
iso_code: string
seconds: double
to
{'flores_code': Value('string'), 'iso_code': Value('string'), 'symbols_written': Value('int64'), 'documents_used': Value('int64'), 'documents_seen': Value('int64'), 'shards': List({'path': Value('string'), 'symbols': Value('int64')}), 'seconds': Value('float64'), 'skipped_invalid_documents': Value('int64')}
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 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
source: string
raw_dir: string
text_column: string
target_symbols_per_lang: int64
shard_symbols: int64
total_symbols: int64
symbol_dtype: string
symbol_space: string
myte_vocab_size: int64
eod_id: int64
pad_id: int64
num_predictable_symbols: int64
append_eod_per_document: bool
requires_rust_fast_rewriter: bool
cache_env: struct<THESIS_SCRATCH_ROOT: string, THESIS_CACHE_ROOT: string, HF_HOME: string, HF_DATASETS_CACHE: s (... 212 chars omitted)
child 0, THESIS_SCRATCH_ROOT: string
child 1, THESIS_CACHE_ROOT: string
child 2, HF_HOME: string
child 3, HF_DATASETS_CACHE: string
child 4, HF_HUB_CACHE: string
child 5, HUGGINGFACE_HUB_CACHE: string
child 6, XDG_CACHE_HOME: string
child 7, UV_CACHE_DIR: string
child 8, PIP_CACHE_DIR: string
child 9, TORCH_HOME: string
child 10, CARGO_TARGET_DIR: string
child 11, MPLCONFIGDIR: string
child 12, TMPDIR: string
languages: list<item: struct<flores_code: string, iso_code: string, symbols_written: int64, documents_used: int (... 136 chars omitted)
child 0, item: struct<flores_code: string, iso_code: string, symbols_written: int64, documents_used: int64, documen (... 124 chars omitted)
child 0, flores_code: string
child 1, iso_code: string
child 2, symbols_written: int64
child 3, documents_used: int64
child 4, documents_seen: int64
child 5, shards: list<item: struct<path: string, symbols: int64>>
child 0, item: struct<path: string, symbols: int64>
child 0, path: string
child 1, symbols: int64
child 6, seconds: double
child 7, skipped_invalid_documents: int64
batches: list<item: struct<name: string, symbols_per_lang: int64, local_dir: string, remote_shard_offset: int (... 4 chars omitted)
child 0, item: struct<name: string, symbols_per_lang: int64, local_dir: string, remote_shard_offset: int64>
child 0, name: string
child 1, symbols_per_lang: int64
child 2, local_dir: string
child 3, remote_shard_offset: int64
flores_code: string
documents_seen: int64
skipped_invalid_documents: int64
symbols_written: int64
shards: list<item: struct<path: string, symbols: int64>>
child 0, item: struct<path: string, symbols: int64>
child 0, path: string
child 1, symbols: int64
documents_used: int64
iso_code: string
seconds: double
to
{'flores_code': Value('string'), 'iso_code': Value('string'), 'symbols_written': Value('int64'), 'documents_used': Value('int64'), 'documents_seen': Value('int64'), 'shards': List({'path': Value('string'), 'symbols': Value('int64')}), 'seconds': Value('float64'), 'skipped_invalid_documents': Value('int64')}
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.
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