Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'validation' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
df = pandas_read_json(f)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 791, in read_json
json_reader = JsonReader(
path_or_buf,
...<16 lines>...
engine=engine,
)
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 905, in __init__
self.data = self._preprocess_data(data)
~~~~~~~~~~~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 917, in _preprocess_data
data = data.read()
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 839, in read_with_retries
out = read(*args, **kwargs)
File "<frozen codecs>", line 325, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4523, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2768, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
yield from 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 327, in _generate_tables
raise e
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
BizGenEval_result
Z-Image-Turbo、FLUX.1-dev 和 HiDream-I1-Full 在 BizGenEval 完整 400 个 case 上的图片生成结果。每个模型 400 张，共 1,200 张；全部已通过图片完整性、输出尺寸和 case 覆盖校验。
| 模型 | 下载文件 | 图片数量 | 压缩包大小 |
|---|---|---|---|
| Z-Image-Turbo | Z-Image-Turbo_BizGenEval.zip | 400 | 1075.5 MB |
| FLUX.1-dev | FLUX.1-dev_BizGenEval.zip | 400 | 1180.4 MB |
| HiDream-I1-Full | HiDream-I1-Full_BizGenEval.zip | 400 | 278.4 MB |
文件内容
每个 ZIP 保留对应模型文件夹，包含 400 张 PNG、metadata/ 中每个 case 的原始数据与生成参数，以及 run_manifest.json、live_progress.json、verification.json。PNG 文件名沿用 benchmark 的格式，便于后续评测。
生成配置
使用本地权重、BF16、无量化，环境为 PyTorch 2.8.0+cu128、Diffusers 0.41.0.dev0、Transformers 5.19.0。
| 模型 | 推理步数 | Guidance | Seed | 最大文本编码长度 |
|---|---|---|---|---|
| Z-Image-Turbo | 9 | 0.0 | 42 | 512 |
| FLUX.1-dev | 50 | 3.5 | 0 | 512 |
| HiDream-I1-Full | 50 | 5.0 | 0 | 128 |
原始 prompt 保留，模型各文本编码器按其原生规则截断；token 数及截断情况保存在每张图的元数据中。
Z-Image-Turbo 和 FLUX.1-dev 按 BizGenEval 的 dynamic_original 策略解析尺寸：优先使用参考图尺寸，缺失时使用指定长宽比，按 32 像素对齐，最多 4,194,304 像素。HiDream-I1-Full 的官方 Pipeline 会进一步按其原生 1,048,576 像素预算和 16 像素步长归一化尺寸。三组结果因此没有统一固定为 1024×1024；每张图的实际尺寸见元数据中的 dimensions，请求尺寸见 requested_dimensions（提供时）。
这里提供图片生成结果，尚未计算 Gemini checklist 评测分数。模型版本、文件 SHA-256 和完整参数见 manifest.json。
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