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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
study_version: string
evaluator_id: string
background: string
timestamp: timestamp[s]
record_type: string
task_index: int64
prompt_id: string
region: string
method: string
method_label: string
seed: string
label: string
image_url: string
prompt_realistic_yes: string
gender_male_count: string
gender_female_count: string
location_match_yes: string
best_location_method: string
cultural_fair: string
is_best: int64
comment: string
realism_quality: string
to
{'evaluator_id': Value('string'), 'background': Value('string'), 'timestamp': Value('timestamp[s]'), 'task_index': Value('int64'), 'prompt_id': Value('string'), 'region': Value('string'), 'seed': Value('int64'), 'label': Value('string'), 'method': Value('string'), 'image_url': Value('string'), 'realism_quality': Value('string'), 'cultural_fair': Value('string'), 'is_best': Value('int64'), 'comment': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
study_version: string
evaluator_id: string
background: string
timestamp: timestamp[s]
record_type: string
task_index: int64
prompt_id: string
region: string
method: string
method_label: string
seed: string
label: string
image_url: string
prompt_realistic_yes: string
gender_male_count: string
gender_female_count: string
location_match_yes: string
best_location_method: string
cultural_fair: string
is_best: int64
comment: string
realism_quality: string
to
{'evaluator_id': Value('string'), 'background': Value('string'), 'timestamp': Value('timestamp[s]'), 'task_index': Value('int64'), 'prompt_id': Value('string'), 'region': Value('string'), 'seed': Value('int64'), 'label': Value('string'), 'method': Value('string'), 'image_url': Value('string'), 'realism_quality': Value('string'), 'cultural_fair': Value('string'), 'is_best': Value('int64'), 'comment': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
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 1683, 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 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
evaluator_id string | background string | timestamp timestamp[s] | task_index int64 | prompt_id string | region string | seed int64 | label string | method string | image_url string | realism_quality string | cultural_fair string | is_best int64 | comment string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E1 | AI/ML | 2026-06-26T05:26:22 | 0 | SSA_008 | sub_saharan_africa | 42 | A | fairimagen | 4 | 5 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 0 | SSA_008 | sub_saharan_africa | 42 | B | base | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 0 | SSA_008 | sub_saharan_africa | 42 | C | craftgc | 2 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 0 | SSA_008 | sub_saharan_africa | 42 | D | prompt_aug | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 0 | SSA_008 | sub_saharan_africa | 42 | E | prompt_aug_explicit | 5 | 4 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 1 | SSA_019 | sub_saharan_africa | 42 | A | prompt_aug_explicit | 4 | 5 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 1 | SSA_019 | sub_saharan_africa | 42 | B | craftgc | 3 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 1 | SSA_019 | sub_saharan_africa | 42 | C | base | 5 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 1 | SSA_019 | sub_saharan_africa | 42 | D | prompt_aug | 2 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 1 | SSA_019 | sub_saharan_africa | 42 | E | fairimagen | 2 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 2 | SSA_017 | sub_saharan_africa | 42 | A | prompt_aug | 5 | 5 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 2 | SSA_017 | sub_saharan_africa | 42 | B | fairimagen | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 2 | SSA_017 | sub_saharan_africa | 42 | C | craftgc | 4 | 5 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 2 | SSA_017 | sub_saharan_africa | 42 | D | base | 2 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 2 | SSA_017 | sub_saharan_africa | 42 | E | prompt_aug_explicit | 3 | 5 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 3 | SSA_001 | sub_saharan_africa | 42 | A | base | 4 | 5 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 3 | SSA_001 | sub_saharan_africa | 42 | B | prompt_aug | 5 | 5 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 3 | SSA_001 | sub_saharan_africa | 42 | C | craftgc | null | null | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 3 | SSA_001 | sub_saharan_africa | 42 | D | prompt_aug_explicit | 3 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 3 | SSA_001 | sub_saharan_africa | 42 | E | fairimagen | 4 | 5 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 4 | SSA_030 | sub_saharan_africa | 42 | A | fairimagen | 5 | 5 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 4 | SSA_030 | sub_saharan_africa | 42 | B | prompt_aug_explicit | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 4 | SSA_030 | sub_saharan_africa | 42 | C | base | 4 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 4 | SSA_030 | sub_saharan_africa | 42 | D | craftgc | 5 | 5 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 4 | SSA_030 | sub_saharan_africa | 42 | E | prompt_aug | 5 | 5 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 5 | SSA_022 | sub_saharan_africa | 42 | A | fairimagen | 5 | 5 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 5 | SSA_022 | sub_saharan_africa | 42 | B | prompt_aug_explicit | 3 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 5 | SSA_022 | sub_saharan_africa | 42 | C | craftgc | 4 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 5 | SSA_022 | sub_saharan_africa | 42 | D | prompt_aug | 4 | 5 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 5 | SSA_022 | sub_saharan_africa | 42 | E | base | 4 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 6 | SSA_038 | sub_saharan_africa | 42 | A | prompt_aug | 4 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 6 | SSA_038 | sub_saharan_africa | 42 | B | prompt_aug_explicit | 4 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 6 | SSA_038 | sub_saharan_africa | 42 | C | fairimagen | 3 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 6 | SSA_038 | sub_saharan_africa | 42 | D | base | 3 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 6 | SSA_038 | sub_saharan_africa | 42 | E | craftgc | 5 | 4 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 7 | SSA_013 | sub_saharan_africa | 42 | A | base | 3 | 3 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 7 | SSA_013 | sub_saharan_africa | 42 | B | craftgc | 2 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 7 | SSA_013 | sub_saharan_africa | 42 | C | prompt_aug_explicit | 2 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 7 | SSA_013 | sub_saharan_africa | 42 | D | fairimagen | 2 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 7 | SSA_013 | sub_saharan_africa | 42 | E | prompt_aug | 2 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 8 | SSA_015 | sub_saharan_africa | 42 | A | fairimagen | 3 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 8 | SSA_015 | sub_saharan_africa | 42 | B | craftgc | 4 | 5 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 8 | SSA_015 | sub_saharan_africa | 42 | C | prompt_aug_explicit | 2 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 8 | SSA_015 | sub_saharan_africa | 42 | D | base | 4 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 8 | SSA_015 | sub_saharan_africa | 42 | E | prompt_aug | 3 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 9 | SSA_033 | sub_saharan_africa | 42 | A | prompt_aug_explicit | 4 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 9 | SSA_033 | sub_saharan_africa | 42 | B | fairimagen | 3 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 9 | SSA_033 | sub_saharan_africa | 42 | C | base | 3 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 9 | SSA_033 | sub_saharan_africa | 42 | D | craftgc | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 9 | SSA_033 | sub_saharan_africa | 42 | E | prompt_aug | 4 | 4 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 10 | SSA_011 | sub_saharan_africa | 42 | A | craftgc | 3 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 10 | SSA_011 | sub_saharan_africa | 42 | B | prompt_aug_explicit | 4 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 10 | SSA_011 | sub_saharan_africa | 42 | C | prompt_aug | 3 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 10 | SSA_011 | sub_saharan_africa | 42 | D | fairimagen | 4 | 4 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 10 | SSA_011 | sub_saharan_africa | 42 | E | base | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 11 | SSA_021 | sub_saharan_africa | 42 | A | fairimagen | 3 | 4 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 11 | SSA_021 | sub_saharan_africa | 42 | B | prompt_aug_explicit | 3 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 11 | SSA_021 | sub_saharan_africa | 42 | C | prompt_aug | 3 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 11 | SSA_021 | sub_saharan_africa | 42 | D | craftgc | 2 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 11 | SSA_021 | sub_saharan_africa | 42 | E | base | 4 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 12 | SA_004 | south_asia | 42 | A | craftgc | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 12 | SA_004 | south_asia | 42 | B | fairimagen | 4 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 12 | SA_004 | south_asia | 42 | C | prompt_aug | 4 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 12 | SA_004 | south_asia | 42 | D | prompt_aug_explicit | 4 | 4 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 12 | SA_004 | south_asia | 42 | E | base | 3 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 13 | SA_007 | south_asia | 42 | A | prompt_aug | 2 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 13 | SA_007 | south_asia | 42 | B | craftgc | 3 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 13 | SA_007 | south_asia | 42 | C | fairimagen | 4 | 4 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 13 | SA_007 | south_asia | 42 | D | prompt_aug_explicit | 2 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 13 | SA_007 | south_asia | 42 | E | base | 2 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 14 | SA_001 | south_asia | 42 | A | prompt_aug | 4 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 14 | SA_001 | south_asia | 42 | B | base | 4 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 14 | SA_001 | south_asia | 42 | C | prompt_aug_explicit | 4 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 14 | SA_001 | south_asia | 42 | D | fairimagen | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 14 | SA_001 | south_asia | 42 | E | craftgc | 4 | 4 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 15 | SA_003 | south_asia | 42 | A | fairimagen | 3 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 15 | SA_003 | south_asia | 42 | B | prompt_aug_explicit | 3 | 3 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 15 | SA_003 | south_asia | 42 | C | base | 4 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 15 | SA_003 | south_asia | 42 | D | prompt_aug | 3 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 15 | SA_003 | south_asia | 42 | E | craftgc | 3 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 16 | SEA_015 | southeast_asia | 42 | A | craftgc | 3 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 16 | SEA_015 | southeast_asia | 42 | B | prompt_aug | 4 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 16 | SEA_015 | southeast_asia | 42 | C | base | 5 | 5 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 16 | SEA_015 | southeast_asia | 42 | D | prompt_aug_explicit | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 16 | SEA_015 | southeast_asia | 42 | E | fairimagen | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 17 | SEA_003 | southeast_asia | 42 | A | base | 3 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 17 | SEA_003 | southeast_asia | 42 | B | prompt_aug_explicit | 5 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 17 | SEA_003 | southeast_asia | 42 | C | prompt_aug | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 17 | SEA_003 | southeast_asia | 42 | D | fairimagen | 4 | 4 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 17 | SEA_003 | southeast_asia | 42 | E | craftgc | 3 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 18 | SEA_012 | southeast_asia | 42 | A | fairimagen | 3 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 18 | SEA_012 | southeast_asia | 42 | B | prompt_aug_explicit | 3 | 4 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 18 | SEA_012 | southeast_asia | 42 | C | prompt_aug | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 18 | SEA_012 | southeast_asia | 42 | D | craftgc | 3 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 18 | SEA_012 | southeast_asia | 42 | E | base | 4 | 4 | 1 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 19 | SEA_005 | southeast_asia | 42 | A | craftgc | 3 | 2 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 19 | SEA_005 | southeast_asia | 42 | B | base | 2 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 19 | SEA_005 | southeast_asia | 42 | C | fairimagen | 4 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 19 | SEA_005 | southeast_asia | 42 | D | prompt_aug | 3 | 3 | 0 | ||
E1 | AI/ML | 2026-06-26T05:26:22 | 19 | SEA_005 | southeast_asia | 42 | E | prompt_aug_explicit | 4 | 4 | 1 |
End of preview.
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CRAFT-GC Human Evaluation Results
Study version: v4-yesno-30x25grid (reset 20260628-171828 UTC)
Format
- 30 prompts randomly sampled from GCFairBench-100
- 5 diffusion seeds per prompt (150 images total)
- Yes/No questions per image (realism; cultural appropriateness)
- Three evaluators (E1, E2, E3) — scores summed as yes-vote counts
Files
ratings.jsonl— one JSON object per image answer (current round)submissions/— per-evaluator submission snapshotsarchive/— previous study rounds
Prior Likert-scale submissions (5-method blinded study) are preserved under archive/.
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