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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 7 new columns ({'perspectives', 'topics', 'seed_terms', 'application_instruction', 'domain_expert_prompt', 'domain', 'examples'}) and 10 missing columns ({'self_instruct_max_new_tokens', 'domain_expert_max_new_tokens', 'domain_expert_num_generations', 'self_instruct_temperature', 'domain_expert_base_url', 'argilla_dataset_name', 'self_instruct_base_url', 'argilla_api_url', 'domain_expert_temperature', 'self_intruct_num_generations'}).
This happened while the json dataset builder was generating data using
hf://datasets/codybum/farming/seed_data.json (at revision 0048c83959373fbd4c953f9515cd2bf70e4dfd75)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
domain: string
perspectives: list<item: string>
child 0, item: string
topics: list<item: string>
child 0, item: string
examples: list<item: struct<question: string, answer: string>>
child 0, item: struct<question: string, answer: string>
child 0, question: string
child 1, answer: string
domain_expert_prompt: string
application_instruction: string
seed_terms: list<item: string>
child 0, item: string
to
{'argilla_api_url': Value(dtype='string', id=None), 'argilla_dataset_name': Value(dtype='string', id=None), 'self_instruct_base_url': Value(dtype='string', id=None), 'domain_expert_base_url': Value(dtype='string', id=None), 'self_instruct_temperature': Value(dtype='float64', id=None), 'domain_expert_temperature': Value(dtype='float64', id=None), 'self_intruct_num_generations': Value(dtype='int64', id=None), 'domain_expert_num_generations': Value(dtype='int64', id=None), 'self_instruct_max_new_tokens': Value(dtype='int64', id=None), 'domain_expert_max_new_tokens': Value(dtype='int64', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 7 new columns ({'perspectives', 'topics', 'seed_terms', 'application_instruction', 'domain_expert_prompt', 'domain', 'examples'}) and 10 missing columns ({'self_instruct_max_new_tokens', 'domain_expert_max_new_tokens', 'domain_expert_num_generations', 'self_instruct_temperature', 'domain_expert_base_url', 'argilla_dataset_name', 'self_instruct_base_url', 'argilla_api_url', 'domain_expert_temperature', 'self_intruct_num_generations'}).
This happened while the json dataset builder was generating data using
hf://datasets/codybum/farming/seed_data.json (at revision 0048c83959373fbd4c953f9515cd2bf70e4dfd75)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
argilla_api_url
string | argilla_dataset_name
string | self_instruct_base_url
string | domain_expert_base_url
string | self_instruct_temperature
float64 | domain_expert_temperature
float64 | self_intruct_num_generations
int64 | domain_expert_num_generations
int64 | self_instruct_max_new_tokens
int64 | domain_expert_max_new_tokens
int64 | domain
string | perspectives
sequence | topics
sequence | examples
list | domain_expert_prompt
string | application_instruction
string | seed_terms
sequence |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://codybum-farming-argilla-space.hf.space | farming | https://api-inference.huggingface.co/models/microsoft/Phi-3-mini-4k-instruct | https://api-inference.huggingface.co/models/microsoft/Phi-3-mini-4k-instruct | 0.9 | 0.9 | 2 | 2 | 2,096 | 2,096 | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | farming | [
"Family Farming"
] | [
"animal welfare"
] | [
{
"question": "",
"answer": ""
}
] | You will be asked about family farming and agribusiness related topics, from different perspectives.
Your answer should be logical and supported by facts, don't fabricate arguments.
Try to gather a diverse point of view taking into account current theories in agronomy, biology, economics, anthropology and ecology. | AI assistant in the domain of farming. You will be asked about family farming and agribusiness related topics, from different perspectives.
Your answer should be logical and supported by facts, don't fabricate arguments.
Try to gather a diverse point of view taking into account current theories in agronomy, biology, economics, anthropology and ecology. | [
"animal welfare from a Family Farming perspective"
] |