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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
qid: string
answer: string
finish: string
teacher: string
data: string
max_len: int64
max_steps: int64
epochs: int64
out: string
eval_every: int64
seed: int64
early_stopped: bool
amp: string
rank: int64
tokens_per_batch: int64
resume: bool
alpha: int64
best_val_loss: double
dtype: string
revision: string
steps_done: int64
patience: int64
model: string
accum: int64
lr: double
device: string
to
{'data': Value('string'), 'out': Value('string'), 'model': Value('string'), 'revision': Value('string'), 'epochs': Value('int64'), 'rank': Value('int64'), 'alpha': Value('int64'), 'lr': Value('float64'), 'tokens_per_batch': Value('int64'), 'max_len': Value('int64'), 'seed': Value('int64'), 'device': Value('string'), 'dtype': Value('string'), 'max_steps': Value('int64'), 'accum': Value('int64'), 'eval_every': Value('int64'), 'patience': Value('int64'), 'resume': Value('bool'), 'amp': Value('string'), 'best_val_loss': Value('float64'), 'steps_done': Value('int64'), 'early_stopped': Value('bool')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
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
qid: string
answer: string
finish: string
teacher: string
data: string
max_len: int64
max_steps: int64
epochs: int64
out: string
eval_every: int64
seed: int64
early_stopped: bool
amp: string
rank: int64
tokens_per_batch: int64
resume: bool
alpha: int64
best_val_loss: double
dtype: string
revision: string
steps_done: int64
patience: int64
model: string
accum: int64
lr: double
device: string
to
{'data': Value('string'), 'out': Value('string'), 'model': Value('string'), 'revision': Value('string'), 'epochs': Value('int64'), 'rank': Value('int64'), 'alpha': Value('int64'), 'lr': Value('float64'), 'tokens_per_batch': Value('int64'), 'max_len': Value('int64'), 'seed': Value('int64'), 'device': Value('string'), 'dtype': Value('string'), 'max_steps': Value('int64'), 'accum': Value('int64'), 'eval_every': Value('int64'), 'patience': Value('int64'), 'resume': Value('bool'), 'amp': Value('string'), 'best_val_loss': Value('float64'), 'steps_done': Value('int64'), 'early_stopped': Value('bool')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
data string | out string | model string | revision string | epochs int64 | rank int64 | alpha int64 | lr float64 | tokens_per_batch int64 | max_len int64 | seed int64 | device string | dtype string | max_steps int64 | accum int64 | eval_every int64 | patience int64 | resume bool | amp string | best_val_loss float64 | steps_done int64 | early_stopped bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
work/train.jsonl | adapter_docs | Qwen/Qwen3.5-0.8B | 2fc06364715b967f1860aea9cf38778875588b17 | 2 | 16 | 32 | 0.0002 | 8,192 | 2,560 | 0 | cuda | bfloat16 | 0 | 3 | 50 | 3 | false | 0.333317 | 350 | true |
Oomni Docs adapter: training tasks and scripts
Document question-answering tasks (passages + question + reference answer) used to train a small on-device assistant to answer from a user's document, and to say clearly when the document does not contain the answer.
Sources and credits (passages and reference answers adapted; formats changed, passages selected by a retrieval pipeline):
- RepliQA, ServiceNow (CC BY 4.0)
- QASPER, Allen Institute for AI (CC BY 4.0)
- CUAD, The Atticus Project (CC BY 4.0)
- COVID-QA, deepset (Apache-2.0)
- PubMedQA, Jin et al. (MIT)
- TAT-QA, NExT (CC BY 4.0)
- Generated documents with fictitious data (receipts, purchase orders, timetables, price lists, minutes, notices, specs, forms, chart decks, logs, salary structures, leave policies), made with Faker (MIT).
Scripts: teacher.py (answers written by an open-weights teacher model), chat_answers.py, assemble.py, train.py
(LoRA), run_gpu.sh.
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