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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
context_text: string
mcqs: list<item: struct<question: string, answer: string, answer_text: string, category: string, chunk_idx (... 70 chars omitted)
child 0, item: struct<question: string, answer: string, answer_text: string, category: string, chunk_idx: int64, ch (... 58 chars omitted)
child 0, question: string
child 1, answer: string
child 2, answer_text: string
child 3, category: string
child 4, chunk_idx: int64
child 5, choices: struct<A: string, B: string, C: string, D: string>
child 0, A: string
child 1, B: string
child 2, C: string
child 3, D: string
facts: list<item: struct<entity: string, field: string, value: string, first_chunk: int64, appears: list<it (... 25 chars omitted)
child 0, item: struct<entity: string, field: string, value: string, first_chunk: int64, appears: list<item: int64>, (... 13 chars omitted)
child 0, entity: string
child 1, field: string
child 2, value: string
child 3, first_chunk: int64
child 4, appears: list<item: int64>
child 0, item: int64
child 5, asked: bool
doc_idx: int64
to
{'doc_idx': Value('int64'), 'facts': List({'entity': Value('string'), 'field': Value('string'), 'value': Value('string'), 'first_chunk': Value('int64'), 'appears': List(Value('int64')), 'asked': 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
context_text: string
mcqs: list<item: struct<question: string, answer: string, answer_text: string, category: string, chunk_idx (... 70 chars omitted)
child 0, item: struct<question: string, answer: string, answer_text: string, category: string, chunk_idx: int64, ch (... 58 chars omitted)
child 0, question: string
child 1, answer: string
child 2, answer_text: string
child 3, category: string
child 4, chunk_idx: int64
child 5, choices: struct<A: string, B: string, C: string, D: string>
child 0, A: string
child 1, B: string
child 2, C: string
child 3, D: string
facts: list<item: struct<entity: string, field: string, value: string, first_chunk: int64, appears: list<it (... 25 chars omitted)
child 0, item: struct<entity: string, field: string, value: string, first_chunk: int64, appears: list<item: int64>, (... 13 chars omitted)
child 0, entity: string
child 1, field: string
child 2, value: string
child 3, first_chunk: int64
child 4, appears: list<item: int64>
child 0, item: int64
child 5, asked: bool
doc_idx: int64
to
{'doc_idx': Value('int64'), 'facts': List({'entity': Value('string'), 'field': Value('string'), 'value': Value('string'), 'first_chunk': Value('int64'), 'appears': List(Value('int64')), 'asked': 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 1880, 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.
doc_idx int64 | facts list |
|---|---|
0 | [
{
"entity": "WD-1409",
"field": "status",
"value": "harbor-harbor-328",
"first_chunk": 0,
"appears": [
0
],
"asked": false
},
{
"entity": "ZD-9935",
"field": "cargo",
"value": "onyx-saddle-532",
"first_chunk": 0,
"appears": [
0
],
"asked": fals... |
1 | [
{
"entity": "EU-6971",
"field": "cargo",
"value": "karma-needle-272",
"first_chunk": 0,
"appears": [
0
],
"asked": false
},
{
"entity": "LH-4629",
"field": "route",
"value": "raven-island-960",
"first_chunk": 0,
"appears": [
0
],
"asked": false... |
2 | [
{
"entity": "GC-7322",
"field": "vessel",
"value": "indigo-granite-338",
"first_chunk": 0,
"appears": [
0
],
"asked": false
},
{
"entity": "XS-2146",
"field": "cargo",
"value": "topaz-beacon-477",
"first_chunk": 0,
"appears": [
0
],
"asked": fa... |
3 | [
{
"entity": "DQ-2366",
"field": "owner",
"value": "ultra-granite-202",
"first_chunk": 0,
"appears": [
0
],
"asked": false
},
{
"entity": "VR-5914",
"field": "origin",
"value": "amber-saddle-540",
"first_chunk": 0,
"appears": [
0
],
"asked": fal... |
4 | [{"entity":"NT-3353","field":"status","value":"onyx-valley-960","first_chunk":0,"appears":[0],"asked(...TRUNCATED) |
5 | [{"entity":"GU-9255","field":"inspector","value":"xenon-cipher-619","first_chunk":0,"appears":[0],"a(...TRUNCATED) |
6 | [{"entity":"KY-1341","field":"status","value":"yellow-yield-384","first_chunk":0,"appears":[0],"aske(...TRUNCATED) |
7 | [{"entity":"KV-5160","field":"inspector","value":"ivory-timber-830","first_chunk":0,"appears":[0],"a(...TRUNCATED) |
8 | [{"entity":"JX-9588","field":"owner","value":"opal-kettle-999","first_chunk":0,"appears":[0],"asked"(...TRUNCATED) |
9 | [{"entity":"GQ-3358","field":"priority","value":"xenon-falcon-766","first_chunk":0,"appears":[0],"as(...TRUNCATED) |
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