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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', 'application_instruction', 'seed_terms', 'domain_expert_prompt', 'domain', 'examples', 'topics'}) and 8 missing columns ({'argilla_dataset_name', 'domain_expert_temperature', 'domain_expert_num_generations', 'self_intruct_num_generations', 'self_instruct_temperature', 'domain_expert_base_url', 'self_instruct_base_url', 'argilla_api_url'}).
This happened while the json dataset builder was generating data using
hf://datasets/aimlresearch2023/Scam1/seed_data.json (at revision b34476594b4c10ce58948217c977aca0e5c7c721)
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 ({'perspectives', 'application_instruction', 'seed_terms', 'domain_expert_prompt', 'domain', 'examples', 'topics'}) and 8 missing columns ({'argilla_dataset_name', 'domain_expert_temperature', 'domain_expert_num_generations', 'self_intruct_num_generations', 'self_instruct_temperature', 'domain_expert_base_url', 'self_instruct_base_url', 'argilla_api_url'}).
This happened while the json dataset builder was generating data using
hf://datasets/aimlresearch2023/Scam1/seed_data.json (at revision b34476594b4c10ce58948217c977aca0e5c7c721)
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://aimlresearch2023-Scam1-argilla-space.hf.space | Scam1 | 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 | Scam | [
"Family Farming",
"commercial farmer "
] | [
"animal welfare",
"crop rotation",
"livestock management",
" soil health"
] | [
{
"question": "How to grow good crops in a small garden?",
"answer": "Growing good crops in a small garden can be a challenge, but with careful planning and the right techniques, you can maximize your growing space and produce a bountiful harvest. Here are some tips to help you get started:\n\n1. Choose the right crops: Some vegetables and fruits are better suited for small gardens than others. Consider growing crops that take up less space, such as bush beans, tomatoes in cages, or container-"
},
{
"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 Scam. 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.Below are some examples of questions and answers that the AI assistant would generate:
Examples:
- Question: How to grow good crops in a small garden?
- Answer: Growing good crops in a small garden can be a challenge, but with careful planning and the right techniques, you can maximize your growing space and produce a bountiful harvest. Here are some tips to help you get started:
1. Choose the right crops: Some vegetables and fruits are better suited for small gardens than others. Consider growing crops that take up less space, such as bush beans, tomatoes in cages, or container-
- Question: How to grow good crops in a small garden?
- Answer: Growing good crops in a small garden can be a challenge, but with careful planning and the right techniques, you can maximize your growing space and produce a bountiful harvest. Here are some tips to help you get started:
1. Choose the right crops: Some vegetables and fruits are better suited for small gardens than others. Consider growing crops that take up less space, such as bush beans, tomatoes in cages, or container-
| [
"animal welfare from a Family Farming perspective",
"animal welfare from a commercial farmer perspective",
"crop rotation from a Family Farming perspective",
"crop rotation from a commercial farmer perspective",
"livestock management from a Family Farming perspective",
"livestock management from a commercial farmer perspective",
" soil health from a Family Farming perspective",
" soil health from a commercial farmer 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
Scam1
Domain: Scam
Perspectives
- Family Farming
- commercial farmer
Topics
- animal welfare
- crop rotation
- livestock management
- soil health
Examples
How to grow good crops in a small garden?
Growing good crops in a small garden can be a challenge, but with careful planning and the right techniques, you can maximize your growing space and produce a bountiful harvest. Here are some tips to help you get started:
- Choose the right crops: Some vegetables and fruits are better suited for small gardens than others. Consider growing crops that take up less space, such as bush beans, tomatoes in cages, or container-
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