Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
reference: string
corrected: string
nbest: list<item: string>
child 0, item: string
response: struct<role: string, model: string, stop_reason: string, content: list<item: struct<type: string, te (... 13 chars omitted)
child 0, role: string
child 1, model: string
child 2, stop_reason: string
child 3, content: list<item: struct<type: string, text: string>>
child 0, item: struct<type: string, text: string>
child 0, type: string
child 1, text: string
to
{'reference': Value('string'), 'nbest': List(Value('string')), 'response': {'role': Value('string'), 'model': Value('string'), 'stop_reason': Value('string'), 'content': List({'type': Value('string'), 'text': Value('string')})}}
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 478, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
reference: string
corrected: string
nbest: list<item: string>
child 0, item: string
response: struct<role: string, model: string, stop_reason: string, content: list<item: struct<type: string, te (... 13 chars omitted)
child 0, role: string
child 1, model: string
child 2, stop_reason: string
child 3, content: list<item: struct<type: string, text: string>>
child 0, item: struct<type: string, text: string>
child 0, type: string
child 1, text: string
to
{'reference': Value('string'), 'nbest': List(Value('string')), 'response': {'role': Value('string'), 'model': Value('string'), 'stop_reason': Value('string'), 'content': List({'type': Value('string'), 'text': 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.
agwer_asr_batch_test_v0
Example batch inputs for the agwer CLI: 30 real ASR error-correction sessions (Whisper 5-best decodes from the MIT-licensed HyPoradise benchmark, WSJ, with the verbatim outputs of a real LLM corrector), wrapped in every input format agwer accepts:
| file | format | flag |
|---|---|---|
input.jsonl |
native agwer records | (default) |
input.openai.jsonl |
OpenAI chat sessions (messages) |
--format openai |
input.anthropic.jsonl |
Anthropic Messages + structured output | --format anthropic |
input.sharegpt.jsonl |
ShareGPT conversations | --format sharegpt |
input.parquet |
columnar batch | --format parquet |
All five carry the same 30 sessions, so every format reports identical
metrics. --format auto (the default) detects each of them.
pip install "agwer[parquet]"
hf download huckiyang/agwer_asr_batch_test_v0 --repo-type dataset --local-dir batch
agwer batch/input.openai.jsonl
agwer batch/input.parquet --json
Expected report: WER 1-best 6.4%, corrected 3.1%, o_nb 4.8%, o_cp 1.7%, RIR (rho) 2.000, HER 0.286.
In the chat formats, the corrected transcript is extracted from the last
assistant turn (structured outputs with a "corrected" key are unwrapped);
reference and nbest ride along as top-level keys.
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