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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 ({'topics', 'application_instruction', 'seed_terms', 'domain', 'perspectives', 'examples', 'domain_expert_prompt'}) and 10 missing columns ({'domain_expert_max_new_tokens', 'self_intruct_num_generations', 'domain_expert_num_generations', 'argilla_dataset_name', 'self_instruct_temperature', 'argilla_api_url', 'self_instruct_base_url', 'self_instruct_max_new_tokens', 'domain_expert_base_url', 'domain_expert_temperature'}).

This happened while the json dataset builder was generating data using

hf://datasets/BrokenSoul/farming/seed_data.json (at revision 4e72a6c4edba3328625e0eb212e14a3aaf2bc15b)

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 1324, 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 938, 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 ({'topics', 'application_instruction', 'seed_terms', 'domain', 'perspectives', 'examples', 'domain_expert_prompt'}) and 10 missing columns ({'domain_expert_max_new_tokens', 'self_intruct_num_generations', 'domain_expert_num_generations', 'argilla_dataset_name', 'self_instruct_temperature', 'argilla_api_url', 'self_instruct_base_url', 'self_instruct_max_new_tokens', 'domain_expert_base_url', 'domain_expert_temperature'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/BrokenSoul/farming/seed_data.json (at revision 4e72a6c4edba3328625e0eb212e14a3aaf2bc15b)
              
              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://BrokenSoul-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" ]