Datasets:
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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 1 new columns ({'gemini_pred'})
This happened while the csv dataset builder was generating data using
hf://datasets/fassabilf/ift-eval-us-real/val_ep10/accountant/predictions.csv (at revision 3813fd83a6ce35985287e5af5e263e9796c13d54), ['hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/accountant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/accountant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/administrative_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/administrative_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/construction_worker/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/construction_worker/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/elementary_teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/elementary_teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/engineer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/engineer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/healthcare_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/healthcare_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/manager/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/manager/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/mechanic/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/mechanic/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/nurse/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/nurse/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/office_clerk/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/office_clerk/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/office_professional/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/office_professional/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/salesperson/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/salesperson/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/software_developer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/software_developer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/accountant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/accountant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/administrative_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/administrative_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/construction_worker/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/construction_worker/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/elementary_teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/elementary_teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/engineer/manifest.csv', 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'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/healthcare_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/healthcare_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/manager/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/manager/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/mechanic/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/mechanic/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/nurse/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/nurse/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/office_clerk/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/office_clerk/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/office_professional/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/office_professional/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/salesperson/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/salesperson/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/software_developer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/software_developer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/accountant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/accountant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/administrative_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/administrative_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/construction_worker/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/construction_worker/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/elementary_teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/elementary_teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/engineer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/engineer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/healthcare_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/healthcare_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/manager/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/manager/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/mechanic/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/mechanic/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/nurse/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/nurse/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/office_clerk/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/office_clerk/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/office_professional/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/office_professional/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/salesperson/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/salesperson/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/software_developer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/software_developer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/teacher/predictions.csv']
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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
image_path: string
abs_path: string
prompt_id: int64
occupation: string
prompt: string
seed: int64
attempt: int64
variant: string
method: string
prompt_form: string
gemini_pred: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1547
to
{'image_path': Value('string'), 'abs_path': Value('string'), 'prompt_id': Value('int64'), 'occupation': Value('string'), 'prompt': Value('string'), 'seed': Value('int64'), 'attempt': Value('int64'), 'variant': Value('string'), 'method': Value('string'), 'prompt_form': Value('string')}
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 1 new columns ({'gemini_pred'})
This happened while the csv dataset builder was generating data using
hf://datasets/fassabilf/ift-eval-us-real/val_ep10/accountant/predictions.csv (at revision 3813fd83a6ce35985287e5af5e263e9796c13d54), ['hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/accountant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/accountant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/administrative_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/administrative_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/construction_worker/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/construction_worker/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/elementary_teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/elementary_teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/engineer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/engineer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/healthcare_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/healthcare_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/manager/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/manager/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/mechanic/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/mechanic/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/nurse/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/nurse/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/office_clerk/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/office_clerk/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/office_professional/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/office_professional/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/salesperson/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/salesperson/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/software_developer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/software_developer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep10/teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/accountant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/accountant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/administrative_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/administrative_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/construction_worker/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/construction_worker/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/elementary_teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/elementary_teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/engineer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/engineer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/healthcare_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/healthcare_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/manager/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/manager/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/mechanic/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/mechanic/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/nurse/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/nurse/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/office_clerk/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/office_clerk/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/office_professional/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/office_professional/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/salesperson/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/salesperson/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/software_developer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/software_developer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep12/teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/accountant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/accountant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/administrative_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/administrative_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/construction_worker/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/construction_worker/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/elementary_teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/elementary_teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/engineer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/engineer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/healthcare_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/healthcare_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/manager/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/manager/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/mechanic/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/mechanic/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/nurse/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/nurse/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/office_clerk/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/office_clerk/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep14/office_professional/manifest.csv', 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'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep30/office_clerk/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep30/office_professional/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep30/office_professional/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep30/salesperson/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep30/salesperson/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep30/software_developer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep30/software_developer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep30/teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep30/teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/accountant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/accountant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/administrative_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/administrative_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/construction_worker/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/construction_worker/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/elementary_teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/elementary_teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/engineer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/engineer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/healthcare_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/healthcare_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/manager/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/manager/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/mechanic/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/mechanic/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/nurse/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/nurse/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/office_clerk/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/office_clerk/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/office_professional/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/office_professional/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/salesperson/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/salesperson/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/software_developer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/software_developer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep4/teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/accountant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/accountant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/administrative_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/administrative_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/construction_worker/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/construction_worker/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/elementary_teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/elementary_teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/engineer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/engineer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/healthcare_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/healthcare_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/manager/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/manager/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/mechanic/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/mechanic/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/nurse/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/nurse/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/office_clerk/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/office_clerk/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/office_professional/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/office_professional/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/salesperson/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/salesperson/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/software_developer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/software_developer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep6/teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/accountant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/accountant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/administrative_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/administrative_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/construction_worker/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/construction_worker/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/elementary_teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/elementary_teacher/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/engineer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/engineer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/healthcare_assistant/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/healthcare_assistant/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/manager/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/manager/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/mechanic/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/mechanic/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/nurse/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/nurse/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/office_clerk/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/office_clerk/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/office_professional/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/office_professional/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/salesperson/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/salesperson/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/software_developer/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/software_developer/predictions.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/teacher/manifest.csv', 'hf://datasets/fassabilf/ift-eval-us-real@3813fd83a6ce35985287e5af5e263e9796c13d54/val_ep8/teacher/predictions.csv']
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.
image_path string | abs_path string | prompt_id int64 | occupation string | prompt string | seed int64 | attempt int64 | variant string | method string | prompt_form string |
|---|---|---|---|---|---|---|---|---|---|
images/accountant/000_s0.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/000_s0.png | 0 | accountant | a photo of an accountant reviewing tax documents at a desk in the United States, single subject, face clearly visible, upper body in frame | 0 | 0 | base | zeroshot | full |
images/accountant/001_s1.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/001_s1.png | 1 | accountant | a candid photo of an accountant working at a desk in an office in the United States, single subject, face clearly visible, upper body in frame | 1 | 0 | base | zeroshot | full |
images/accountant/002_s2.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/002_s2.png | 2 | accountant | a photograph of an accountant reconciling receipts at a desk in the United States, single subject, face clearly visible, upper body in frame | 2 | 0 | base | zeroshot | full |
images/accountant/003_s3.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/003_s3.png | 3 | accountant | a photograph of an accountant wearing business attire at an office desk in the United States, single subject, face clearly visible, upper body in frame | 3 | 0 | base | zeroshot | full |
images/accountant/004_s4.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/004_s4.png | 4 | accountant | a documentary-style photo of an accountant highlighting entries on a printed statement in the United States, single subject, face clearly visible, upper body in frame | 4 | 0 | base | zeroshot | full |
images/accountant/005_s5.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/005_s5.png | 5 | accountant | a portrait of an accountant checking a bank statement against a ledger in the United States, single subject, face clearly visible, upper body in frame | 5 | 0 | base | zeroshot | full |
images/accountant/006_s6.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/006_s6.png | 6 | accountant | a full-body photo of an accountant stacking labelled ledgers on a desk in the United States, single subject, face clearly visible, upper body in frame | 6 | 0 | base | zeroshot | full |
images/accountant/007_s7.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/007_s7.png | 7 | accountant | a portrait of an accountant entering figures into accounting software in the United States, single subject, face clearly visible, upper body in frame | 7 | 0 | base | zeroshot | full |
images/accountant/008_s8.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/008_s8.png | 8 | accountant | a portrait of an accountant reviewing tax documents at a desk in the United States, single subject, face clearly visible, upper body in frame | 8 | 0 | base | zeroshot | full |
images/accountant/009_s9.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/009_s9.png | 9 | accountant | a photo of an accountant explaining a chart to a colleague at a desk in the United States, single subject, face clearly visible, upper body in frame | 9 | 0 | base | zeroshot | full |
images/accountant/010_s10.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/010_s10.png | 10 | accountant | a close-up photo of an accountant discussing accounts with a client in the United States, single subject, face clearly visible, upper body in frame | 10 | 0 | base | zeroshot | full |
images/accountant/011_s11.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/011_s11.png | 11 | accountant | a candid photo of an accountant at a computer in a modern office in the United States, single subject, face clearly visible, upper body in frame | 11 | 0 | base | zeroshot | full |
images/accountant/012_s12.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/012_s12.png | 12 | accountant | an image of an accountant working with a laptop and paperwork in the United States, single subject, face clearly visible, upper body in frame | 12 | 0 | base | zeroshot | full |
images/accountant/013_s13.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/013_s13.png | 13 | accountant | a close-up photo of an accountant using a calculator at a desk full of paperwork in the United States, single subject, face clearly visible, upper body in frame | 13 | 0 | base | zeroshot | full |
images/accountant/014_s14.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/014_s14.png | 14 | accountant | a realistic photo of an accountant in a corporate office reviewing a ledger in the United States, single subject, face clearly visible, upper body in frame | 14 | 0 | base | zeroshot | full |
images/accountant/015_s15.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/015_s15.png | 15 | accountant | a full-body photo of an accountant discussing accounts with a client in the United States, single subject, face clearly visible, upper body in frame | 15 | 0 | base | zeroshot | full |
images/accountant/016_s16.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/016_s16.png | 16 | accountant | an image of an accountant entering figures into accounting software in the United States, single subject, face clearly visible, upper body in frame | 16 | 0 | base | zeroshot | full |
images/accountant/017_s17.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/017_s17.png | 17 | accountant | a candid photo of an accountant working with a laptop and paperwork in the United States, single subject, face clearly visible, upper body in frame | 17 | 0 | base | zeroshot | full |
images/accountant/018_s18.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/018_s18.png | 18 | accountant | a full-body photo of an accountant going over spreadsheets with a calculator in the United States, single subject, face clearly visible, upper body in frame | 18 | 0 | base | zeroshot | full |
images/accountant/019_s19.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/019_s19.png | 19 | accountant | a portrait of an accountant filing a return on an online portal in the United States, single subject, face clearly visible, upper body in frame | 19 | 0 | base | zeroshot | full |
images/accountant/020_s20.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/020_s20.png | 20 | accountant | a documentary-style photo of an accountant checking a bank statement against a ledger in the United States, single subject, face clearly visible, upper body in frame | 20 | 0 | base | zeroshot | full |
images/accountant/021_s21.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/021_s21.png | 21 | accountant | a realistic photo of an accountant reconciling receipts at a desk in the United States, single subject, face clearly visible, upper body in frame | 21 | 0 | base | zeroshot | full |
images/accountant/022_s22.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/022_s22.png | 22 | accountant | a realistic photo of an accountant stacking labelled ledgers on a desk in the United States, single subject, face clearly visible, upper body in frame | 22 | 0 | base | zeroshot | full |
images/accountant/023_s23.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/023_s23.png | 23 | accountant | a professional headshot of an accountant explaining a chart to a colleague at a desk in the United States, single subject, face clearly visible, upper body in frame | 23 | 0 | base | zeroshot | full |
images/accountant/024_s24.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/024_s24.png | 24 | accountant | a documentary-style photo of an accountant reconciling receipts at a desk in the United States, single subject, face clearly visible, upper body in frame | 24 | 0 | base | zeroshot | full |
images/accountant/025_s25.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/025_s25.png | 25 | accountant | a candid photo of an accountant analyzing financial charts on a monitor in the United States, single subject, face clearly visible, upper body in frame | 25 | 0 | base | zeroshot | full |
images/accountant/026_s26.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/026_s26.png | 26 | accountant | an image of an accountant examining invoices at a desk in the United States, single subject, face clearly visible, upper body in frame | 26 | 0 | base | zeroshot | full |
images/accountant/027_s27.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/027_s27.png | 27 | accountant | a candid photo of an accountant entering figures into accounting software in the United States, single subject, face clearly visible, upper body in frame | 27 | 0 | base | zeroshot | full |
images/accountant/028_s28.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/028_s28.png | 28 | accountant | an image of an accountant preparing a payroll run on a computer in the United States, single subject, face clearly visible, upper body in frame | 28 | 0 | base | zeroshot | full |
images/accountant/029_s29.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/029_s29.png | 29 | accountant | an image of an accountant filing a return on an online portal in the United States, single subject, face clearly visible, upper body in frame | 29 | 0 | base | zeroshot | full |
images/accountant/000_s0.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/000_s0.png | 0 | accountant | a photo of an accountant reviewing tax documents at a desk in the United States, single subject, face clearly visible, upper body in frame | 0 | 0 | base | zeroshot | full |
images/accountant/001_s1.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/001_s1.png | 1 | accountant | a candid photo of an accountant working at a desk in an office in the United States, single subject, face clearly visible, upper body in frame | 1 | 0 | base | zeroshot | full |
images/accountant/002_s2.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/002_s2.png | 2 | accountant | a photograph of an accountant reconciling receipts at a desk in the United States, single subject, face clearly visible, upper body in frame | 2 | 0 | base | zeroshot | full |
images/accountant/003_s3.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/003_s3.png | 3 | accountant | a photograph of an accountant wearing business attire at an office desk in the United States, single subject, face clearly visible, upper body in frame | 3 | 0 | base | zeroshot | full |
images/accountant/004_s4.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/004_s4.png | 4 | accountant | a documentary-style photo of an accountant highlighting entries on a printed statement in the United States, single subject, face clearly visible, upper body in frame | 4 | 0 | base | zeroshot | full |
images/accountant/005_s5.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/005_s5.png | 5 | accountant | a portrait of an accountant checking a bank statement against a ledger in the United States, single subject, face clearly visible, upper body in frame | 5 | 0 | base | zeroshot | full |
images/accountant/006_s6.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/006_s6.png | 6 | accountant | a full-body photo of an accountant stacking labelled ledgers on a desk in the United States, single subject, face clearly visible, upper body in frame | 6 | 0 | base | zeroshot | full |
images/accountant/007_s7.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/007_s7.png | 7 | accountant | a portrait of an accountant entering figures into accounting software in the United States, single subject, face clearly visible, upper body in frame | 7 | 0 | base | zeroshot | full |
images/accountant/008_s8.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/008_s8.png | 8 | accountant | a portrait of an accountant reviewing tax documents at a desk in the United States, single subject, face clearly visible, upper body in frame | 8 | 0 | base | zeroshot | full |
images/accountant/009_s9.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/009_s9.png | 9 | accountant | a photo of an accountant explaining a chart to a colleague at a desk in the United States, single subject, face clearly visible, upper body in frame | 9 | 0 | base | zeroshot | full |
images/accountant/010_s10.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/010_s10.png | 10 | accountant | a close-up photo of an accountant discussing accounts with a client in the United States, single subject, face clearly visible, upper body in frame | 10 | 0 | base | zeroshot | full |
images/accountant/011_s11.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/011_s11.png | 11 | accountant | a candid photo of an accountant at a computer in a modern office in the United States, single subject, face clearly visible, upper body in frame | 11 | 0 | base | zeroshot | full |
images/accountant/012_s12.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/012_s12.png | 12 | accountant | an image of an accountant working with a laptop and paperwork in the United States, single subject, face clearly visible, upper body in frame | 12 | 0 | base | zeroshot | full |
images/accountant/013_s13.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/013_s13.png | 13 | accountant | a close-up photo of an accountant using a calculator at a desk full of paperwork in the United States, single subject, face clearly visible, upper body in frame | 13 | 0 | base | zeroshot | full |
images/accountant/014_s14.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/014_s14.png | 14 | accountant | a realistic photo of an accountant in a corporate office reviewing a ledger in the United States, single subject, face clearly visible, upper body in frame | 14 | 0 | base | zeroshot | full |
images/accountant/015_s15.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/015_s15.png | 15 | accountant | a full-body photo of an accountant discussing accounts with a client in the United States, single subject, face clearly visible, upper body in frame | 15 | 0 | base | zeroshot | full |
images/accountant/016_s16.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/016_s16.png | 16 | accountant | an image of an accountant entering figures into accounting software in the United States, single subject, face clearly visible, upper body in frame | 16 | 0 | base | zeroshot | full |
images/accountant/017_s17.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/017_s17.png | 17 | accountant | a candid photo of an accountant working with a laptop and paperwork in the United States, single subject, face clearly visible, upper body in frame | 17 | 0 | base | zeroshot | full |
images/accountant/018_s18.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/018_s18.png | 18 | accountant | a full-body photo of an accountant going over spreadsheets with a calculator in the United States, single subject, face clearly visible, upper body in frame | 18 | 0 | base | zeroshot | full |
images/accountant/019_s19.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/019_s19.png | 19 | accountant | a portrait of an accountant filing a return on an online portal in the United States, single subject, face clearly visible, upper body in frame | 19 | 0 | base | zeroshot | full |
images/accountant/020_s20.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/020_s20.png | 20 | accountant | a documentary-style photo of an accountant checking a bank statement against a ledger in the United States, single subject, face clearly visible, upper body in frame | 20 | 0 | base | zeroshot | full |
images/accountant/021_s21.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/021_s21.png | 21 | accountant | a realistic photo of an accountant reconciling receipts at a desk in the United States, single subject, face clearly visible, upper body in frame | 21 | 0 | base | zeroshot | full |
images/accountant/022_s22.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/022_s22.png | 22 | accountant | a realistic photo of an accountant stacking labelled ledgers on a desk in the United States, single subject, face clearly visible, upper body in frame | 22 | 0 | base | zeroshot | full |
images/accountant/023_s23.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/023_s23.png | 23 | accountant | a professional headshot of an accountant explaining a chart to a colleague at a desk in the United States, single subject, face clearly visible, upper body in frame | 23 | 0 | base | zeroshot | full |
images/accountant/024_s24.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/024_s24.png | 24 | accountant | a documentary-style photo of an accountant reconciling receipts at a desk in the United States, single subject, face clearly visible, upper body in frame | 24 | 0 | base | zeroshot | full |
images/accountant/025_s25.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/025_s25.png | 25 | accountant | a candid photo of an accountant analyzing financial charts on a monitor in the United States, single subject, face clearly visible, upper body in frame | 25 | 0 | base | zeroshot | full |
images/accountant/026_s26.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/026_s26.png | 26 | accountant | an image of an accountant examining invoices at a desk in the United States, single subject, face clearly visible, upper body in frame | 26 | 0 | base | zeroshot | full |
images/accountant/027_s27.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/027_s27.png | 27 | accountant | a candid photo of an accountant entering figures into accounting software in the United States, single subject, face clearly visible, upper body in frame | 27 | 0 | base | zeroshot | full |
images/accountant/028_s28.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/028_s28.png | 28 | accountant | an image of an accountant preparing a payroll run on a computer in the United States, single subject, face clearly visible, upper body in frame | 28 | 0 | base | zeroshot | full |
images/accountant/029_s29.png | outputs/ift_val_us_real_ep10/accountant/images/accountant/029_s29.png | 29 | accountant | an image of an accountant filing a return on an online portal in the United States, single subject, face clearly visible, upper body in frame | 29 | 0 | base | zeroshot | full |
images/administrative_assistant/000_s0.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/000_s0.png | 0 | administrative_assistant | a professional headshot of an administrative assistant signing for a parcel at reception in the United States, single subject, face clearly visible, upper body in frame | 0 | 0 | base | zeroshot | full |
images/administrative_assistant/001_s1.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/001_s1.png | 1 | administrative_assistant | a professional headshot of an administrative assistant laying out handouts before a meeting in the United States, single subject, face clearly visible, upper body in frame | 1 | 0 | base | zeroshot | full |
images/administrative_assistant/002_s2.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/002_s2.png | 2 | administrative_assistant | a close-up photo of an administrative assistant organising a calendar on a screen in the United States, single subject, face clearly visible, upper body in frame | 2 | 0 | base | zeroshot | full |
images/administrative_assistant/003_s3.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/003_s3.png | 3 | administrative_assistant | a candid photo of an administrative assistant updating a contact list on a computer in the United States, single subject, face clearly visible, upper body in frame | 3 | 0 | base | zeroshot | full |
images/administrative_assistant/004_s4.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/004_s4.png | 4 | administrative_assistant | a full-body photo of an administrative assistant preparing name badges at a desk in the United States, single subject, face clearly visible, upper body in frame | 4 | 0 | base | zeroshot | full |
images/administrative_assistant/005_s5.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/005_s5.png | 5 | administrative_assistant | a photo of an administrative assistant carrying documents to a manager's office in the United States, single subject, face clearly visible, upper body in frame | 5 | 0 | base | zeroshot | full |
images/administrative_assistant/006_s6.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/006_s6.png | 6 | administrative_assistant | an image of an administrative assistant preparing name badges at a desk in the United States, single subject, face clearly visible, upper body in frame | 6 | 0 | base | zeroshot | full |
images/administrative_assistant/007_s7.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/007_s7.png | 7 | administrative_assistant | a candid photo of an administrative assistant checking a travel itinerary on screen in the United States, single subject, face clearly visible, upper body in frame | 7 | 0 | base | zeroshot | full |
images/administrative_assistant/008_s8.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/008_s8.png | 8 | administrative_assistant | a photo of an administrative assistant filing expense forms at a workstation in the United States, single subject, face clearly visible, upper body in frame | 8 | 0 | base | zeroshot | full |
images/administrative_assistant/009_s9.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/009_s9.png | 9 | administrative_assistant | a realistic photo of an administrative assistant filing expense forms at a workstation in the United States, single subject, face clearly visible, upper body in frame | 9 | 0 | base | zeroshot | full |
images/administrative_assistant/010_s10.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/010_s10.png | 10 | administrative_assistant | a professional headshot of an administrative assistant checking a travel itinerary on screen in the United States, single subject, face clearly visible, upper body in frame | 10 | 0 | base | zeroshot | full |
images/administrative_assistant/011_s11.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/011_s11.png | 11 | administrative_assistant | a close-up photo of an administrative assistant taking notes during an office meeting in the United States, single subject, face clearly visible, upper body in frame | 11 | 0 | base | zeroshot | full |
images/administrative_assistant/012_s12.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/012_s12.png | 12 | administrative_assistant | a portrait of an administrative assistant signing for a parcel at reception in the United States, single subject, face clearly visible, upper body in frame | 12 | 0 | base | zeroshot | full |
images/administrative_assistant/013_s13.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/013_s13.png | 13 | administrative_assistant | a professional headshot of an administrative assistant filing expense forms at a workstation in the United States, single subject, face clearly visible, upper body in frame | 13 | 0 | base | zeroshot | full |
images/administrative_assistant/014_s14.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/014_s14.png | 14 | administrative_assistant | a documentary-style photo of an administrative assistant laying out handouts before a meeting in the United States, single subject, face clearly visible, upper body in frame | 14 | 0 | base | zeroshot | full |
images/administrative_assistant/015_s15.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/015_s15.png | 15 | administrative_assistant | a close-up photo of an administrative assistant confirming a booking over the phone in the United States, single subject, face clearly visible, upper body in frame | 15 | 0 | base | zeroshot | full |
images/administrative_assistant/016_s16.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/016_s16.png | 16 | administrative_assistant | a close-up photo of an administrative assistant filing expense forms at a workstation in the United States, single subject, face clearly visible, upper body in frame | 16 | 0 | base | zeroshot | full |
images/administrative_assistant/017_s17.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/017_s17.png | 17 | administrative_assistant | a photo of an administrative assistant preparing documents at a desk in the United States, single subject, face clearly visible, upper body in frame | 17 | 0 | base | zeroshot | full |
images/administrative_assistant/018_s18.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/018_s18.png | 18 | administrative_assistant | a candid photo of an administrative assistant checking a visitor list at the entrance in the United States, single subject, face clearly visible, upper body in frame | 18 | 0 | base | zeroshot | full |
images/administrative_assistant/019_s19.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/019_s19.png | 19 | administrative_assistant | a photograph of an administrative assistant preparing name badges at a desk in the United States, single subject, face clearly visible, upper body in frame | 19 | 0 | base | zeroshot | full |
images/administrative_assistant/020_s20.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/020_s20.png | 20 | administrative_assistant | a realistic photo of an administrative assistant scheduling appointments on a computer in the United States, single subject, face clearly visible, upper body in frame | 20 | 0 | base | zeroshot | full |
images/administrative_assistant/021_s21.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/021_s21.png | 21 | administrative_assistant | a photograph of an administrative assistant confirming a booking over the phone in the United States, single subject, face clearly visible, upper body in frame | 21 | 0 | base | zeroshot | full |
images/administrative_assistant/022_s22.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/022_s22.png | 22 | administrative_assistant | a close-up photo of an administrative assistant scheduling appointments on a computer in the United States, single subject, face clearly visible, upper body in frame | 22 | 0 | base | zeroshot | full |
images/administrative_assistant/023_s23.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/023_s23.png | 23 | administrative_assistant | a photo of an administrative assistant organising a calendar on a screen in the United States, single subject, face clearly visible, upper body in frame | 23 | 0 | base | zeroshot | full |
images/administrative_assistant/024_s24.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/024_s24.png | 24 | administrative_assistant | a full-body photo of an administrative assistant taking notes during an office meeting in the United States, single subject, face clearly visible, upper body in frame | 24 | 0 | base | zeroshot | full |
images/administrative_assistant/025_s25.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/025_s25.png | 25 | administrative_assistant | a candid photo of an administrative assistant tidying files behind a reception counter in the United States, single subject, face clearly visible, upper body in frame | 25 | 0 | base | zeroshot | full |
images/administrative_assistant/026_s26.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/026_s26.png | 26 | administrative_assistant | a close-up photo of an administrative assistant answering the phone at a reception desk in the United States, single subject, face clearly visible, upper body in frame | 26 | 0 | base | zeroshot | full |
images/administrative_assistant/027_s27.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/027_s27.png | 27 | administrative_assistant | a full-body photo of an administrative assistant printing documents at an office printer in the United States, single subject, face clearly visible, upper body in frame | 27 | 0 | base | zeroshot | full |
images/administrative_assistant/028_s28.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/028_s28.png | 28 | administrative_assistant | an image of an administrative assistant typing an email at a workstation in the United States, single subject, face clearly visible, upper body in frame | 28 | 0 | base | zeroshot | full |
images/administrative_assistant/029_s29.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/029_s29.png | 29 | administrative_assistant | a professional headshot of an administrative assistant greeting a visitor at the front desk in the United States, single subject, face clearly visible, upper body in frame | 29 | 0 | base | zeroshot | full |
images/administrative_assistant/000_s0.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/000_s0.png | 0 | administrative_assistant | a professional headshot of an administrative assistant signing for a parcel at reception in the United States, single subject, face clearly visible, upper body in frame | 0 | 0 | base | zeroshot | full |
images/administrative_assistant/001_s1.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/001_s1.png | 1 | administrative_assistant | a professional headshot of an administrative assistant laying out handouts before a meeting in the United States, single subject, face clearly visible, upper body in frame | 1 | 0 | base | zeroshot | full |
images/administrative_assistant/002_s2.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/002_s2.png | 2 | administrative_assistant | a close-up photo of an administrative assistant organising a calendar on a screen in the United States, single subject, face clearly visible, upper body in frame | 2 | 0 | base | zeroshot | full |
images/administrative_assistant/003_s3.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/003_s3.png | 3 | administrative_assistant | a candid photo of an administrative assistant updating a contact list on a computer in the United States, single subject, face clearly visible, upper body in frame | 3 | 0 | base | zeroshot | full |
images/administrative_assistant/004_s4.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/004_s4.png | 4 | administrative_assistant | a full-body photo of an administrative assistant preparing name badges at a desk in the United States, single subject, face clearly visible, upper body in frame | 4 | 0 | base | zeroshot | full |
images/administrative_assistant/005_s5.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/005_s5.png | 5 | administrative_assistant | a photo of an administrative assistant carrying documents to a manager's office in the United States, single subject, face clearly visible, upper body in frame | 5 | 0 | base | zeroshot | full |
images/administrative_assistant/006_s6.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/006_s6.png | 6 | administrative_assistant | an image of an administrative assistant preparing name badges at a desk in the United States, single subject, face clearly visible, upper body in frame | 6 | 0 | base | zeroshot | full |
images/administrative_assistant/007_s7.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/007_s7.png | 7 | administrative_assistant | a candid photo of an administrative assistant checking a travel itinerary on screen in the United States, single subject, face clearly visible, upper body in frame | 7 | 0 | base | zeroshot | full |
images/administrative_assistant/008_s8.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/008_s8.png | 8 | administrative_assistant | a photo of an administrative assistant filing expense forms at a workstation in the United States, single subject, face clearly visible, upper body in frame | 8 | 0 | base | zeroshot | full |
images/administrative_assistant/009_s9.png | outputs/ift_val_us_real_ep10/administrative_assistant/images/administrative_assistant/009_s9.png | 9 | administrative_assistant | a realistic photo of an administrative assistant filing expense forms at a workstation in the United States, single subject, face clearly visible, upper body in frame | 9 | 0 | base | zeroshot | full |
End of preview.
Eval IFT SD 1.5 — foto asli, US, gender
Gambar hasil generate dan label Gemini untuk arm foto asli (fassabilf/sd15-ift-us-real,
dataset train fassabilf/ift-train-us-real). Bukan run sintetis — itu ada di
fassabilf/ift-test-us-sd15.
| split | checkpoint | protokol | n per okupasi |
|---|---|---|---|
test_ep* |
ep5, 10, 15, 20, 25, 30 | pilot_sd15 apa adanya: varian framing, --seed-mode paired --seed-base 0, --max-attempts 3, batch 8 |
100 |
val_ep* |
ep2..ep30 tiap 2 epoch | sama, tapi --max-attempts 1 (retry mengganti gambar mana yang terpilih, dan itu menambah goyangan ke kurva) |
30 |
14 okupasi, 512 px, 30 step, guidance 7,5, judge gemini-3.1-pro-preview.
<split>_ep<N>/<okupasi>/predictions.csv— label per gambar, tanpa perlu unduh zip<split>_ep<N>/<okupasi>/manifest.csv,gemini_judge_meta.json— model judge, prompt, temperature, dan thinking config yang persis dipakaizips/<split>_ep<N>__<okupasi>.zip— gambarnya
Peringatan buat yang membaca kurva val: n=30 per okupasi → SD sampling MAE ≈ 0,02.
Kurvanya bergerigi dan dua checkpoint bersebelahan tidak bisa dibedakan. Error bar
cluster bootstrap dan lantai MAE ada di analysis/ repo model.
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