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Datasets:
kamwoh
/
kl-interp-v1

Tasks:
Image-to-Video
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
driving
street-view
world-model
view-interpolation
kuala-lumpur
License:
Dataset card Data Studio Files
xet
 Community
Dataset Preview
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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 1531, 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 127, 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 32, 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 1393, 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 1571, 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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mp4
video
__key__
string
__url__
string
kartaview-10471737-83-24_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471737-83-24_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471737-83-36_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471737-84-0_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471737-84-12_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471785-0-0_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471785-0-0_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471801-0-0_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471801-0-12_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471801-79-12_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471801-79-24_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10471801-79-24_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10483161-49-0_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10506377-0-0_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10506377-0-12_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10506393-38-36_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10506393-38-36_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10514105-50-0_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-10738153-61-24_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11306521-0-0_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11306537-4-0_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11306537-4-0_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11306553-0-0_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11306553-0-12_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11363929-0-0_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11363929-1-0_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11363929-1-0_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11363961-47-0_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11379305-0-0_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432825-62-12_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432825-62-24_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432825-62-24_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432825-62-36_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432825-63-0_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432825-63-12_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432857-3-0_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432857-3-0_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-2-0_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-2-12_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-5-0_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-5-12_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-5-12_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-5-24_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-5-36_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-5-48_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-5-60_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-5-60_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432873-5-72_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432905-0-0_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432905-1-12_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432905-2-0_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432905-2-0_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432905-2-12_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432905-2-24_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432905-3-0_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432905-3-12_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11432905-3-12_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11561653-5-12_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11561659-15-12_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11561659-15-24_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11566542-0-0_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11566542-0-0_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11566542-7-0_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11566542-7-12_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11566561-56-0_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11566562-0-0_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11566562-0-0_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11572670-69-0_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11572670-69-12_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11572670-70-0_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11619927-33-0_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11619927-33-0_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11619929-2-0_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11619929-2-12_w10
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kartaview-11619929-2-24_w5
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kartaview-11619929-2-36_w0
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kartaview-11619929-2-36_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620374-0-0_w15
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kartaview-11620374-0-12_w10
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kartaview-11620376-0-0_w5
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kartaview-11620376-0-12_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620376-0-12_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620376-0-24_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620376-0-36_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620376-0-48_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620377-0-0_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620377-0-0_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620377-1-0_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620377-1-12_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620377-1-24_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620378-0-0_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620378-0-0_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620378-0-12_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620378-0-24_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620378-0-36_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620378-0-48_w0
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620378-0-48_w20
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11620378-0-60_w15
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11622274-0-0_w10
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
kartaview-11622274-0-12_w5
hf://datasets/kamwoh/kl-interp-v1@fc8b7047350ca91f7c966ae4ec3fe51e479e0497/clips/kl-s0-000.tar
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kl-interp-v1 — densified Kuala Lumpur street-view clips

18,870 five-second driving clips (1280×704, 24 fps, 73 or 121 frames) generated from sparse street-view image sequences of Kuala Lumpur (Mapillary and KartaView, CC BY-SA 4.0) with a view-interpolation video model. Each clip is a 5 s window of a real capture sequence: the model was given 2–9 real keyframes with their GPS positions and synthesised the frames in between. Keyframes are real; the frames between them are generated.

Built for world-model research: cross-session revisits of the same place, GPS per clip, and per-frame camera motion.

Layout 

clips/kl-s{0..3}-NNN.tar      tar shards, ~300 clips each, members <name>.mp4
poses/kl-poses.tar            <name>.npy  (T,7) float32 per-frame relative camera
                              action [dx,dy,dz,droll,dpitch,dyaw,flag] in CARLA
                              convention (x forward, y right, z up), estimated
                              with VGGT-Omega and scaled by the GPS arc length
manifest_s{0..3}.jsonl        one row per clip: name, clip_id, frames, arc_m,
                              caption ("window" = per-window caption used,
                              "clip" = whole-sequence fallback), guidance
qc_scores.jsonl               cheap motion/sharpness QC per clip (weak tag; see
                              miniworld/scripts/benchmarking/qc_clips.py)
arcs.json                     GPS arc length (m) per clip
captions/                     Qwen-generated short/long captions per sequence
                              window (kl_windows_s*.jsonl) and per sequence

name is <source>-<sequence>_w<start>; clip_id is <source>:<sequence>. The original keyframes and GPS come from the kl_real_v1 corpus.

Generation

Wan2.2-TI2V-5B with a rank-128 LoRA trained with the freeze-frame keyframe recipe of the Seoul World Model (arXiv:2603.15583) on CARLA v2 synthetic video, OpenDV and Kuala Lumpur sequences; 35 sampling steps, flow shift 7, guidance 3. Code: https://github.com/kamwoh/miniworld (scripts/generation/interpolate_batch.py).

Caveats

  • Generated frames can morph objects on close-range lateral pans; qc_scores is a weak filter. Treat non-keyframe content as synthetic.
  • Poses are monocular estimates; scale drift is possible on long arcs.

License and attribution

Source imagery: Mapillary and KartaView contributors, CC BY-SA 4.0. This derivative is released under the same license.
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