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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
id: string
ref: string
asr: string
mt: string
roundtrip: string
en_us: struct<n: int64, asr_err: double, asr_err_kind: string, asr_s_per_item: double, mt_bleu_cascade: dou (... 178 chars omitted)
child 0, n: int64
child 1, asr_err: double
child 2, asr_err_kind: string
child 3, asr_s_per_item: double
child 4, mt_bleu_cascade: double
child 5, mt_bleu_clean: double
child 6, mt_bleu_tok: string
child 7, mt_chrf: double
child 8, mt_s_per_item: double
child 9, tts_s_per_item: double
child 10, roundtrip_err: double
child 11, roundtrip_kind: string
child 12, n_mt_pairs: int64
ja_jp: struct<n: int64, asr_err: double, asr_err_kind: string, asr_s_per_item: double, mt_bleu_cascade: dou (... 178 chars omitted)
child 0, n: int64
child 1, asr_err: double
child 2, asr_err_kind: string
child 3, asr_s_per_item: double
child 4, mt_bleu_cascade: double
child 5, mt_bleu_clean: double
child 6, mt_bleu_tok: string
child 7, mt_chrf: double
child 8, mt_s_per_item: double
child 9, tts_s_per_item: double
child 10, roundtrip_err: double
child 11, roundtrip_kind: string
child 12, n_mt_pairs: int64
to
{'ja_jp': {'n': Value('int64'), 'asr_err': Value('float64'), 'asr_err_kind': Value('string'), 'asr_s_per_item': Value('float64'), 'mt_bleu_cascade': Value('float64'), 'mt_bleu_clean': Value('float64'), 'mt_bleu_tok': Value('string'), 'mt_chrf': Value('float64'), 'mt_s_per_item': Value('float64'), 'tts_s_per_item': Value('float64'), 'roundtrip_err': Value('float64'), 'roundtrip_kind': Value('string'), 'n_mt_pairs': Value('int64')}, 'en_us': {'n': Value('int64'), 'asr_err': Value('float64'), 'asr_err_kind': Value('string'), 'asr_s_per_item': Value('float64'), 'mt_bleu_cascade': Value('float64'), 'mt_bleu_clean': Value('float64'), 'mt_bleu_tok': Value('string'), 'mt_chrf': Value('float64'), 'mt_s_per_item': Value('float64'), 'tts_s_per_item': Value('float64'), 'roundtrip_err': Value('float64'), 'roundtrip_kind': Value('string'), 'n_mt_pairs': Value('int64')}}
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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 343, 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 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
id: string
ref: string
asr: string
mt: string
roundtrip: string
en_us: struct<n: int64, asr_err: double, asr_err_kind: string, asr_s_per_item: double, mt_bleu_cascade: dou (... 178 chars omitted)
child 0, n: int64
child 1, asr_err: double
child 2, asr_err_kind: string
child 3, asr_s_per_item: double
child 4, mt_bleu_cascade: double
child 5, mt_bleu_clean: double
child 6, mt_bleu_tok: string
child 7, mt_chrf: double
child 8, mt_s_per_item: double
child 9, tts_s_per_item: double
child 10, roundtrip_err: double
child 11, roundtrip_kind: string
child 12, n_mt_pairs: int64
ja_jp: struct<n: int64, asr_err: double, asr_err_kind: string, asr_s_per_item: double, mt_bleu_cascade: dou (... 178 chars omitted)
child 0, n: int64
child 1, asr_err: double
child 2, asr_err_kind: string
child 3, asr_s_per_item: double
child 4, mt_bleu_cascade: double
child 5, mt_bleu_clean: double
child 6, mt_bleu_tok: string
child 7, mt_chrf: double
child 8, mt_s_per_item: double
child 9, tts_s_per_item: double
child 10, roundtrip_err: double
child 11, roundtrip_kind: string
child 12, n_mt_pairs: int64
to
{'ja_jp': {'n': Value('int64'), 'asr_err': Value('float64'), 'asr_err_kind': Value('string'), 'asr_s_per_item': Value('float64'), 'mt_bleu_cascade': Value('float64'), 'mt_bleu_clean': Value('float64'), 'mt_bleu_tok': Value('string'), 'mt_chrf': Value('float64'), 'mt_s_per_item': Value('float64'), 'tts_s_per_item': Value('float64'), 'roundtrip_err': Value('float64'), 'roundtrip_kind': Value('string'), 'n_mt_pairs': Value('int64')}, 'en_us': {'n': Value('int64'), 'asr_err': Value('float64'), 'asr_err_kind': Value('string'), 'asr_s_per_item': Value('float64'), 'mt_bleu_cascade': Value('float64'), 'mt_bleu_clean': Value('float64'), 'mt_bleu_tok': Value('string'), 'mt_chrf': Value('float64'), 'mt_s_per_item': Value('float64'), 'tts_s_per_item': Value('float64'), 'roundtrip_err': Value('float64'), 'roundtrip_kind': Value('string'), 'n_mt_pairs': 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.
koe-bridge-eval
Evaluation artifacts for koe-bridge (open streaming Japanese-English speech translator, all-local pipeline).
m1_rows_*.jsonl: per-utterance cascade rows (FLEURS ID, reference, ASR text, MT text, roundtrip text). Source audio NOT included.m1.json: cascade audit summary (n=200/direction).m2.json: streaming first-audio lag (n=20/direction).m3.json: prefix-translation survival / word-order wait cost (n=100/dir).neg.json: negation-polarity flips on prefixes (n=40/direction).
Source utterances: FLEURS test set (CC-BY-4.0, Google).
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