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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
CapRL3B_ShareGPT4V_1M: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
  child 0, media_root: string
  child 1, anno_path: string
  child 2, data_augment: bool
  child 3, sample_ratio: int64
  child 4, source: string
CapRL3B_DenseFusion_1M: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
  child 0, media_root: string
  child 1, anno_path: string
  child 2, data_augment: bool
  child 3, sample_ratio: int64
  child 4, source: string
CC3M_CapRL2-4B_recaption: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
  child 0, media_root: string
  child 1, anno_path: string
  child 2, data_augment: bool
  child 3, sample_ratio: int64
  child 4, source: string
caption_sharegemini_webvid_core100k_clean: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
  child 0, media_root: string
  child 1, anno_path: string
  child 2, data_augment: bool
  child 3, sample_ratio: int64
  child 4, source: string
caption_sharegemini_k400_223k: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
  child 0, media_root: string
  child 1, anno_path: string
  child 2, data_augment: bool
  child 3, sample_ratio: int64
  child 4, source: string
pevideo_
...
 data_augment: bool, sample_ratio: int64, video_sample_ (... 27 chars omitted)
  child 0, media_root: string
  child 1, anno_path: string
  child 2, data_augment: bool
  child 3, sample_ratio: int64
  child 4, video_sample_fps: int64
  child 5, source: string
webvid_p2_recap_59101: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, video_sample_ (... 27 chars omitted)
  child 0, media_root: string
  child 1, anno_path: string
  child 2, data_augment: bool
  child 3, sample_ratio: int64
  child 4, video_sample_fps: int64
  child 5, source: string
ego4d_tarsier_recap_49851: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, video_sample_ (... 27 chars omitted)
  child 0, media_root: string
  child 1, anno_path: string
  child 2, data_augment: bool
  child 3, sample_ratio: int64
  child 4, video_sample_fps: int64
  child 5, source: string
caption_smit_481k: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
  child 0, media_root: string
  child 1, anno_path: string
  child 2, data_augment: bool
  child 3, sample_ratio: int64
  child 4, source: string
blip_laion_cc_sbu_558k: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
  child 0, media_root: string
  child 1, anno_path: string
  child 2, data_augment: bool
  child 3, sample_ratio: int64
  child 4, source: string
to
{'blip_laion_cc_sbu_558k': {'media_root': Value('string'), 'anno_path': Value('string'), 'data_augment': Value('bool'), 'sample_ratio': Value('int64'), 'source': Value('string')}, 'caption_smit_481k': {'media_root': Value('string'), 'anno_path': Value('string'), 'data_augment': Value('bool'), 'sample_ratio': Value('int64'), 'source': Value('string')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 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
              CapRL3B_ShareGPT4V_1M: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
                child 0, media_root: string
                child 1, anno_path: string
                child 2, data_augment: bool
                child 3, sample_ratio: int64
                child 4, source: string
              CapRL3B_DenseFusion_1M: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
                child 0, media_root: string
                child 1, anno_path: string
                child 2, data_augment: bool
                child 3, sample_ratio: int64
                child 4, source: string
              CC3M_CapRL2-4B_recaption: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
                child 0, media_root: string
                child 1, anno_path: string
                child 2, data_augment: bool
                child 3, sample_ratio: int64
                child 4, source: string
              caption_sharegemini_webvid_core100k_clean: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
                child 0, media_root: string
                child 1, anno_path: string
                child 2, data_augment: bool
                child 3, sample_ratio: int64
                child 4, source: string
              caption_sharegemini_k400_223k: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
                child 0, media_root: string
                child 1, anno_path: string
                child 2, data_augment: bool
                child 3, sample_ratio: int64
                child 4, source: string
              pevideo_
              ...
               data_augment: bool, sample_ratio: int64, video_sample_ (... 27 chars omitted)
                child 0, media_root: string
                child 1, anno_path: string
                child 2, data_augment: bool
                child 3, sample_ratio: int64
                child 4, video_sample_fps: int64
                child 5, source: string
              webvid_p2_recap_59101: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, video_sample_ (... 27 chars omitted)
                child 0, media_root: string
                child 1, anno_path: string
                child 2, data_augment: bool
                child 3, sample_ratio: int64
                child 4, video_sample_fps: int64
                child 5, source: string
              ego4d_tarsier_recap_49851: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, video_sample_ (... 27 chars omitted)
                child 0, media_root: string
                child 1, anno_path: string
                child 2, data_augment: bool
                child 3, sample_ratio: int64
                child 4, video_sample_fps: int64
                child 5, source: string
              caption_smit_481k: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
                child 0, media_root: string
                child 1, anno_path: string
                child 2, data_augment: bool
                child 3, sample_ratio: int64
                child 4, source: string
              blip_laion_cc_sbu_558k: struct<media_root: string, anno_path: string, data_augment: bool, sample_ratio: int64, source: strin (... 2 chars omitted)
                child 0, media_root: string
                child 1, anno_path: string
                child 2, data_augment: bool
                child 3, sample_ratio: int64
                child 4, source: string
              to
              {'blip_laion_cc_sbu_558k': {'media_root': Value('string'), 'anno_path': Value('string'), 'data_augment': Value('bool'), 'sample_ratio': Value('int64'), 'source': Value('string')}, 'caption_smit_481k': {'media_root': Value('string'), 'anno_path': Value('string'), 'data_augment': Value('bool'), 'sample_ratio': Value('int64'), 'source': Value('string')}}
              because column names don't match

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VideoChat3-Stage3-Training-Data

This repository includes all annotation files used across the four training stages of VideoChat3, from Stage 0 to Stage 3.

You can refer to the provided source-data links to download videos, images, and other multimedia data for training. In videochat3_data_annotations, we also provide a source field to indicate the source dataset for each entry.

To facilitate Stage 3 training reproduction using the high-quality open-source datasets we collected and curated, we additionally provide a more detailed introduction at VideoChat3-Stage3-Training-Data.

📄 Paper · 🌐 Homepage · 💻 GitHub · 🤗 Paper Page

VideoChat3 Training Overview

Data Organization

Component Description
training_data_annotations Training annotation data for each stage
videochat3_data_annotations Annotation files for individual datasets
training_data_source_tables Source datasets and paths

In videochat3_data_annotations, the Stage 0 and Stage 2 annotation data partially overlap with our previously released VideoChat3-Academic2M and VideoChat3-LV116K. For convenience of downloading and use, we re-upload them here.

Because the training_data_source_tables contain data from a wide range of sources, there may be occasional errors. If you spot any issues, please feel free to contact me at zzhiqiu997@gmail.com.

Citation

If you use this data, please cite VideoChat3 and the original video datasets used by the annotations.

@misc{videochat3,
      title={VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding}, 
      author={Xinhao Li and Yuhan Zhu and Xiangyu Zeng and Yuhao Dong and Haoning Wu and Zhiqiu Zhang and Yuandong Yang and Changlian Ma and Qingyu Zhang and Yansong Shi and Xinyu Chen and Haoran Chen and Zizheng Huang and Jun Zhang and Kun Ouyang and Lin Sui and Ziang Yan and Yicheng Xu and Chenting Wang and Yinan He and Hongjie Zhang and Yi Wang and Yu Qiao and Yali Wang and Ziwei Liu and Kai Chen and Limin Wang},
      year={2026},
      eprint={2607.14935},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2607.14935}, 
}
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Collection including MCG-NJU/VideoChat3-Training-Data-Annotations

Paper for MCG-NJU/VideoChat3-Training-Data-Annotations