Datasets:

Reza2kn
/

neyshekar-fa-wimp-teacher-labels

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
utt_id: string
status: string
n: int64
score: list<item: double>
  child 0, item: double
var: list<item: double>
  child 0, item: double
words: list<item: string>
  child 0, item: string
text: string
conv: string
human: list<item: double>
  child 0, item: double
to
{'utt_id': Value('string'), 'conv': Value('string'), 'words': List(Value('string')), 'human': List(Value('float64')), '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
              utt_id: string
              status: string
              n: int64
              score: list<item: double>
                child 0, item: double
              var: list<item: double>
                child 0, item: double
              words: list<item: string>
                child 0, item: string
              text: string
              conv: string
              human: list<item: double>
                child 0, item: double
              to
              {'utt_id': Value('string'), 'conv': Value('string'), 'words': List(Value('string')), 'human': List(Value('float64')), 'text': Value('string')}
              because column names don't match

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Persian word-importance teacher labels (neyshekar v4)

Per-token word-importance soft labels for a DHH-oriented semantic-WER (ACE-style) metric.

Teacher: google/gemma-4-31b-it (OpenRouter, ModelRun fp4) + 5 Persian few-shot examples.
Source text: shekar-ai/neyshekar-v4-persian-asr-fa (text only, deduplicated).
Utterances: 26490 ok (3 format-fails dropped).
Scale: 0.0–1.0 per whitespace token (0 = filler/function word, 1 = essential content).
Provenance: distilled with no human annotation; validated on English DHH gold (Kafle & Huenerfauth LREC-2018): teacher tok-ρ≈0.80 vs human ceiling ~0.84. Persian cross-model agreement (vs gemini-3.5-flash) per-utt ρ≈0.89.

Format (`persian_full_scored.jsonl`)

{"utt_id", "status":"ok", "n", "score":[per-token 0..1], "var", "words":[...], "text"}

persian_fewshot.jsonl holds the 5 hand-corrected Persian few-shot anchors.

Downloads last month: 36

Total file size:

11.9 MB

Persian word-importance teacher labels (neyshekar v4)

Format (persian_full_scored.jsonl)

Format (`persian_full_scored.jsonl`)