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Datasets:
RUBBISHLIKE
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Video_tool_call

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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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mp4
video
__key__
string
__url__
string
holmes/videos/-3l2KFTj7yY
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/0-kQB8Jo80I
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/033fKtGdpPc
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/0CPoD4ZRTUQ
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/0jq3JQ9YTqg
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/1IzpG2kJPdg
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/1TR9riaDzY8
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/1iHavvOahH0
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holmes/videos/21mDekTZwsw
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holmes/videos/2REkk9SCRn0
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holmes/videos/2TN76DCXxPM
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holmes/videos/4IBOqMjlg3o
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holmes/videos/4MFyl16xQ6Q
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holmes/videos/4veSuQm52mQ
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holmes/videos/54SpAPRfuBA
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/5A4Dn6tMESc
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holmes/videos/5P_6Q2Q0NLk
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holmes/videos/8-mS4z1C7v8
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holmes/videos/84sKjWyMFoE
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holmes/videos/90RnXwZ7kNg
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holmes/videos/9neeuEyuzos
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holmes/videos/9nrPqVH0t98
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holmes/videos/D9rwhrS6v6w
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holmes/videos/H7Vx71lR7qI
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holmes/videos/Jc4g41Siar0
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holmes/videos/P7k2MkVYLDE
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holmes/videos/PaO2vhVXezk
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/Pmm2_neWcYs
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/Q1A2sTIVY24
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/QmVMMSbkVmE
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/R3qIVC-nEe4
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/S7wGDuv-Spk
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/SXPvsVF6DQY
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
holmes/videos/T0NaqlzxZQ4
hf://datasets/RUBBISHLIKE/Video_tool_call@d6811430ea676b0e0bab8b60749e46248c55e161/holmes_videos.tar
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Video Tool Call SFT Dataset

Contents

  • final_sft_dataset.json : 16,522 SFT samples (Plan B 12525 + Seeker 3997, 8670 unique videos)
  • llava_video/videos/... : Source mp4 files (138 GB total)

How to merge & extract

This dataset is split into multiple ~40GB parts to fit HuggingFace's 50GB single-file limit.

# Download all parts (video_tool_call.tar.part-aa, ab, ac, ad, ...)
cat video_tool_call.tar.part-* | tar -xvf -

# Or stream-extract while downloading (Linux):
cat video_tool_call.tar.part-* | tar -xf -

Schema

Each sample in final_sft_dataset.json:

{
  "doc_id": "...",
  "video": "llava_video/videos/...",
  "question": "...",
  "options": ["A. ...", "B. ..."],
  "gt_answer": "A",
  "trajectory": {"turns": [...], "final_answer": "A", "n_turns": 2, "terminated": "answered"},
  "metadata": {"source": "...", "question_type": "...", ...}
}

Source distribution

count source
4239 llava178k_academic_2_3m_mc
3342 seeker:multi_clue_w_tool_same
2980 llava178k_academic_1_2m_mc
2767 llava178k_1_2_m_youtube_mc
2067 llava178k_nextqa_1_2m_mc
655 seeker:multi_clue_w_tool_diff
472 llava178k_2_3_m_youtube_mc
Downloads last month
39
Total file size:
150 GB