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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.

@article{li2026videochat3,
  title={VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding},
  author={Li, Xinhao and Zhu, Yuhan and Zeng, Xiangyu and Dong, Yuhao and Wu, Haoning and Zhang, Zhiqiu and Yang, Yuandong and Ma, Changlian and Zhang, Qingyu and Shi, Yansong and others},
  journal={arXiv preprint arXiv:2607.14935},
  year={2026}
}
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Paper for MCG-NJU/VideoChat3-Training-Data-Annotations