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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1520, in _prepare_split_single
                  for key, record 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/webdataset/webdataset.py", line 130, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                                              ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
                  with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
                       ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "<string>", line 3, in open
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
                  return self._mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
                  tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
                                                               ~~~^^^^^^^^
              TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
              
              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 1382, 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 1560, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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json
dict
__key__
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hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0064, "roll": 0.0004, "vfov": 0.4 }
0000/000000087
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0644, "roll": -0.0064, "vfov": 0.4666 }
0000/000000088
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0166, "roll": -0.0016, "vfov": 1.146 }
0000/000000089
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.126, "roll": -0.0146, "vfov": 0.4544 }
0000/000000090
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": -0.0966, "roll": -0.0288, "vfov": 0.584 }
0000/000000091
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": -0.0444, "roll": 0.0004, "vfov": 0.5466 }
0000/000000092
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": -0.2446, "roll": 0.0066, "vfov": 0.544 }
0000/000000093
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0044, "roll": -0.0044, "vfov": 0.7466 }
0000/000000094
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": -0.0044, "roll": -0.0044, "vfov": 0.7464 }
0000/000000095
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": -0.0244, "roll": -0.004, "vfov": 0.4004 }
0000/000000096
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0054, "roll": 0.0064, "vfov": 0.5446 }
0000/000000097
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0164, "roll": 0.0008, "vfov": 0.4446 }
0000/000000098
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0044, "roll": 0.0001, "vfov": 0.5464 }
0000/000000099
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": -0.0054, "roll": 0.0006, "vfov": 0.9466 }
0000/000000100
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.2464, "roll": -0.3264, "vfov": 0.4044 }
0000/000000101
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.024, "roll": 0.0007, "vfov": 0.4144 }
0000/000000102
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0468, "roll": 0.0001, "vfov": 0.4466 }
0000/000000103
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0444, "roll": 0.0004, "vfov": 0.644 }
0000/000000104
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0844, "roll": -0.0004, "vfov": 0.4464 }
0000/000000105
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.4086, "roll": 0.0044, "vfov": 0.4 }
0000/000000106
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0064, "roll": 0.0004, "vfov": 0.4744 }
0000/000000107
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": 0.0664, "roll": 0.0566, "vfov": 0.5464 }
0000/000000108
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": -0.108, "roll": -0.0044, "vfov": 0.354 }
0000/000000109
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": -0.3044, "roll": -0.0064, "vfov": 0.5644 }
0000/000000110
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": -0.1564, "roll": 0.0044, "vfov": 0.8666 }
0000/000000111
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
{ "k1": 0, "parse_ok": true, "pitch": -0.044, "roll": 0.0378, "vfov": 1.1664 }
0000/000000113
hf://datasets/KangLiao/CC12M-Camera@d071ba331fbf1588be58c2243cf5f07dc1a3557b/0000.tar
End of preview.

CC12M-Camera

camera map collage

Per-image camera parameter annotations for the CC12M (Conceptual 12M) dataset (~10.97M images across 2,176 shards), captioned by the Puffin-World model.

The collage above visualizes the camera maps on sample images — each pair shows the up field (green arrows: the projected gravity-up direction) and the latitude field (colored contours: angle above/below the horizon).

Format

One .tar per source shard (0000.tar2175.tar), each containing one .json per image whose name matches the source image key (shard-local index). Source images: pixparse/cc12m-wds (same 2,176-shard layout / keys).

Each JSON holds the predicted monocular camera parameters:

Field Meaning Unit
roll camera roll radians
pitch camera pitch radians
vfov vertical field-of-view radians
k1 radial distortion coefficient
parse_ok whether the model output parsed within valid ranges bool

Example:

{"roll": 0.0123, "pitch": -0.0871, "vfov": 1.0123, "k1": 0.0000, "parse_ok": true}

Camera Parameter Distributions

Histograms of the predicted roll / pitch / vertical-FoV over the whole dataset (proportion of valid samples per 10° bin; parse_ok=False excluded).

cc12m camera stats

split roll μ / med / σ pitch μ / med / σ FoV μ / med / σ
all (10.90M) 0.2° / 0.0° / 5.7° −2.8° / −0.3° / 11.8° 32.3° / 29.0° / 10.6°
  • Roll is sharply peaked at 0° (web images shot upright/level).
  • Pitch is centered close to 0° with a slight downward bias.
  • FoV concentrates in 20–45° (median ≈ 29°), with a long wide-angle tail.

If you'd like a dataset with a more diverse and uniform distribution of camera parameters, please refer to our Puffin-4M and Puffin-16M datasets.

Dataset Download

You can download the entire dataset using the following command:

hf download KangLiao/CC12M-Camera --repo-type dataset

Caption Pipeline

Beyond this captioned dataset, we also release a complete captioning pipeline for annotating camera parameters for arbitrary datasets, analyzing camera parameter distributions, and visualizing the corresponding camera maps. The pipeline is available in our GitHub repository.

Citation

If you find the captioned dataset useful for your research or applications, please cite our paper using the following BibTeX:

  @article{liao2025puffin,
    title={Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation},
    author={Liao, Kang and Wu, Size and Wu, Zhonghua and Jin, Linyi and Wang, Chao and Wang, Yikai and Wang, Fei and Li, Wei and Loy, Chen Change},
    journal={arXiv preprint arXiv:2510.08673},
    year={2025}
  }
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