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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 ({'domain_expert_prompt', 'domain', 'topics', 'application_instruction', 'seed_terms', 'perspectives', 'examples'}) and 8 missing columns ({'domain_expert_base_url', 'domain_expert_temperature', 'self_instruct_temperature', 'argilla_dataset_name', 'self_instruct_base_url', 'domain_expert_num_generations', 'argilla_api_url', 'self_intruct_num_generations'}). This happened while the json dataset builder was generating data using hf://datasets/jeanflop/farming/seed_data.json (at revision 9439d74e4594b5e7db37f0e4bd0b3d0dedddd83f) 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)} 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 ({'domain_expert_prompt', 'domain', 'topics', 'application_instruction', 'seed_terms', 'perspectives', 'examples'}) and 8 missing columns ({'domain_expert_base_url', 'domain_expert_temperature', 'self_instruct_temperature', 'argilla_dataset_name', 'self_instruct_base_url', 'domain_expert_num_generations', 'argilla_api_url', 'self_intruct_num_generations'}). This happened while the json dataset builder was generating data using hf://datasets/jeanflop/farming/seed_data.json (at revision 9439d74e4594b5e7db37f0e4bd0b3d0dedddd83f) 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)
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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 | domain
string | perspectives
sequence | topics
sequence | examples
list | domain_expert_prompt
string | application_instruction
string | seed_terms
sequence |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://jeanflop-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 | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | humain rigth | [
"Family Farming"
] | [
"animal welfare"
] | [
{
"question": "",
"answer": ""
}
] | All humain rigth and legislation
| You are an AI assistant than generates queries around the domain of humain rigth.
Your should not expect basic but profound questions from your users.
The queries should reflect a diversxamity of vision and economic positions and political positions.
The queries may know about different methods of humain rigth.
The queries can be positioned politically, economically, socially, or practically.
Also take into account the impact of diverse causes on diverse domains.
- Question:
- Answer:
| [
"animal welfare from a Family Farming perspective"
] |