Datasets:

tyrant1045
/

adyghe-inflection-unimorph

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
task: string
lemma: string
features: string
question: string
answer: string
lemma_typed: string
to
{'task': Value('string'), 'lemma': Value('string'), 'features': Value('string'), 'question': Value('string'), 'answer': Value('string')}
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
              task: string
              lemma: string
              features: string
              question: string
              answer: string
              lemma_typed: string
              to
              {'task': Value('string'), 'lemma': Value('string'), 'features': Value('string'), 'question': Value('string'), 'answer': Value('string')}
              because column names don't match

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Adyghe inflection training data

Training data for QLoRA fine-tuning of Qwen2.5-1.5B-Instruct to inflect Adyghe nouns and adjectives from UniMorph tags.

Files: train_v1.jsonl (18,463 rows), train_v2.jsonl.gz (27,561 rows, v2 data fix), test.jsonl, heldout.jsonl, eval/inf_eval.jsonl (gate set, 30), eval/inf_robust.jsonl (same items, other prompt format, 30), eval/inf_shots.jsonl (few-shot examples).

Row format

Training rows are chat messages:

{"messages": [
  {"role": "user", "content": "Inflect this Adyghe word (Cyrillic orthography).\n\nLemma: отычыцэ\nFeatures: N;NDEF;PL\n\nTags: N noun, ... \n\n Reply with only the inflected form."},
  {"role": "assistant", "content": "отычыцэхэ"}]}

Eval rows have task ("inf"), lemma, features, question (the full prompt) and answer (the UniMorph form). inf_robust.jsonl also has lemma_typed.