The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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)Need help to make the dataset viewer work? 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 | 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"
] |
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
Domain Dataset Grower
This dataset was generated by distilabel as a domain specific dataset for the domain of farming. The dataset used this seed data to generate the samples. The seed data was define by a domain expert and the generated data can be reviewed in this Argilla space here: Argilla
If you want to define a domain specific seed dataset for your own domain, you can use the distilabel tool to generate the dataset, and seed your dataset here
farming
Domain: humain rigth
Perspectives
- Family Farming
Topics
- animal welfare
Examples
- Downloads last month
- 0