Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
quando: timestamp[s]
repos: struct<OpenMOSS-Team/MOSS-Image-SFT: struct<revisao: string, itens: list<item: struct<arquivo: strin (... 313 chars omitted)
child 0, OpenMOSS-Team/MOSS-Image-SFT: struct<revisao: string, itens: list<item: struct<arquivo: string, gb: double, status: string, hf_s: (... 71 chars omitted)
child 0, revisao: string
child 1, itens: list<item: struct<arquivo: string, gb: double, status: string, hf_s: double, drive_s: double, erro: (... 6 chars omitted)
child 0, item: struct<arquivo: string, gb: double, status: string, hf_s: double, drive_s: double, erro: null>
child 0, arquivo: string
child 1, gb: double
child 2, status: string
child 3, hf_s: double
child 4, drive_s: double
child 5, erro: null
child 2, total_gb: double
child 3, falhas: int64
child 1, OpenMOSS-Team/MOSS-Image-Base: struct<revisao: string, itens: list<item: struct<arquivo: string, gb: double, status: string, hf_s: (... 71 chars omitted)
child 0, revisao: string
child 1, itens: list<item: struct<arquivo: string, gb: double, status: string, hf_s: double, drive_s: double, erro: (... 6 chars omitted)
child 0, item: struct<arquivo: string, gb: double, status: string, hf_s: double, drive_s: double, erro: null>
child 0, arquivo: string
child 1, gb: double
child 2, status: string
child 3, hf_s: double
child 4, drive_s: double
child 5, erro: null
child 2, total_gb: double
child 3, falhas: int64
uncond_skip_layers: list<item: int64>
child 0, item: int64
modelo: string
s: double
largura: int64
id: string
s_por_passo: double
passos: int64
cfg: double
vram_pico_gb: double
seed: int64
status: string
prompt: string
gpu: string
altura: int64
campanha: string
to
{'id': Value('string'), 'status': Value('string'), 's': Value('float64'), 's_por_passo': Value('float64'), 'vram_pico_gb': Value('float64'), 'modelo': Value('string'), 'prompt': Value('string'), 'largura': Value('int64'), 'altura': Value('int64'), 'passos': Value('int64'), 'cfg': Value('float64'), 'seed': Value('int64'), 'uncond_skip_layers': List(Value('int64')), 'campanha': Value('string'), 'gpu': Value('string'), 'quando': Value('timestamp[s]')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
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 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
quando: timestamp[s]
repos: struct<OpenMOSS-Team/MOSS-Image-SFT: struct<revisao: string, itens: list<item: struct<arquivo: strin (... 313 chars omitted)
child 0, OpenMOSS-Team/MOSS-Image-SFT: struct<revisao: string, itens: list<item: struct<arquivo: string, gb: double, status: string, hf_s: (... 71 chars omitted)
child 0, revisao: string
child 1, itens: list<item: struct<arquivo: string, gb: double, status: string, hf_s: double, drive_s: double, erro: (... 6 chars omitted)
child 0, item: struct<arquivo: string, gb: double, status: string, hf_s: double, drive_s: double, erro: null>
child 0, arquivo: string
child 1, gb: double
child 2, status: string
child 3, hf_s: double
child 4, drive_s: double
child 5, erro: null
child 2, total_gb: double
child 3, falhas: int64
child 1, OpenMOSS-Team/MOSS-Image-Base: struct<revisao: string, itens: list<item: struct<arquivo: string, gb: double, status: string, hf_s: (... 71 chars omitted)
child 0, revisao: string
child 1, itens: list<item: struct<arquivo: string, gb: double, status: string, hf_s: double, drive_s: double, erro: (... 6 chars omitted)
child 0, item: struct<arquivo: string, gb: double, status: string, hf_s: double, drive_s: double, erro: null>
child 0, arquivo: string
child 1, gb: double
child 2, status: string
child 3, hf_s: double
child 4, drive_s: double
child 5, erro: null
child 2, total_gb: double
child 3, falhas: int64
uncond_skip_layers: list<item: int64>
child 0, item: int64
modelo: string
s: double
largura: int64
id: string
s_por_passo: double
passos: int64
cfg: double
vram_pico_gb: double
seed: int64
status: string
prompt: string
gpu: string
altura: int64
campanha: string
to
{'id': Value('string'), 'status': Value('string'), 's': Value('float64'), 's_por_passo': Value('float64'), 'vram_pico_gb': Value('float64'), 'modelo': Value('string'), 'prompt': Value('string'), 'largura': Value('int64'), 'altura': Value('int64'), 'passos': Value('int64'), 'cfg': Value('float64'), 'seed': Value('int64'), 'uncond_skip_layers': List(Value('int64')), 'campanha': Value('string'), 'gpu': Value('string'), 'quando': Value('timestamp[s]')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ImagineZão — campanha de testes G4: g4-e2e-imagem-teste
Somente para testes. Sem resultados conclusivos. Saídas brutas de uma bancada em andamento (podem ser apagadas ou
trocadas). Cada mídia tem ao lado um .json com prompt, seed, modelos/quants, LoRAs, sigmas, tempo por nó, VRAM/RAM e o
grafo do ComfyUI; runs.jsonl tem todos os casos, inclusive as falhas (falha também é dado).
- Z-Image, Qwen-Image 2.1, Krea 2, FLUX.2 Klein (templates oficiais do ComfyUI) e MOSS-Image SFT/Base (diffusers) — paisagens, texto em imagem e edições.
- Testado em NVIDIA RTX PRO 6000 Blackwell (sm_120), ComfyUI + comfy_kitchen, torch 2.11 cu130.
- Os pesos usados seguem as licenças originais de cada modelo (ver o modelo de origem em cada sidecar).
Only for testing — not conclusive. Raw outputs with per-file JSON sidecars (prompt, seed, models, timings, VRAM, graph).
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