GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video
Paper • 2607.02991 • Published • 1
Dataset Preview
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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 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 1400, 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 977, 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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
mp4 video | __key__ string | __url__ string |
|---|---|---|
0006 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0009 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0010 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0011 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0012 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0013 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0014 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0015 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0016 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0017 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0018 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0019 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0023 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0024 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0025 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0026 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0027 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0028 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0029 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0030 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0031 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0032 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0033 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0039 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0040 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0041 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0043 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0045 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0048 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0049 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0050 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0051 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0052 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0053 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0054 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0055 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0056 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0073 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0074 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
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0079 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
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0145 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0146 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0148 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0149 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0154 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0155 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0158 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0165 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0166 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0167 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
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0169 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0170 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
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0180 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0181 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0185 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0192 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0193 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0194 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0195 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0196 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0197 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0204 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0205 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0209 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0212 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
0214 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R0027-12-GoPro | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R029-12July-DSLR | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R030-12July-Nespresso | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R033-12July-GoPro | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R039-13July-DSLR | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R061-15July-ATV | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R062-15July-circuit-breaker | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R070-19July-Navvis | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R071-19July-Switch | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R072-20July-BigPrinter | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R072-20July-Nespresso | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R073-20July-DSLR | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R073-20July-SmallPrinter | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R073-20July-Switch | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R078-21July-GoPro | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R095-28July-ATV | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R098-1Aug-DSLR | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R098-1Aug-Switch | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R100-1Aug-Coffee | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R101-2Aug-DSLR | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R102-2Aug-Switch | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R112-8Aug-Navvis-Part1 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R117-11Aug-Navvis-Part1 | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R125-15Aug-Circuit-Breaker | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R128-25Aug-RAM | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar | |
R129-25Aug-GraphicsCard | hf://datasets/alisn/GuideMe_Benchmark@2e28648771e27d3bd2fe48b3a958925085d5d09d/videos_000.tar |
End of preview.
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GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video (ECCV 2026)
GuideMe is a benchmark for training and evaluating multimodal large language models as real-time procedural coaches. It covers next-step instruction, completion feedback, error detection, and corrective guidance across cooking, daily-life tasks, object manipulation, and fitness.
- Project: https://fawnliu.github.io/project/guideme/
- Code: https://github.com/fawnliu/GuideMe
- Paper: https://arxiv.org/abs/2607.02991
@inproceedings{liu2026guideme,
title={GuideMe: Multi-domain Task Guidance and Intervention in Streaming Video},
author={Liu, Fang and Chen, Jinpeng and Xu, Ke and Liu, Yuhao and Guan, Huankang and Lu, Xudong and Bo, Yang and Hancke, Gerhard and Liu, Rui and Lau, Rynson WH},
booktitle={European Conference on Computer Vision},
pages={57--74},
year={2026},
organization={Springer}
}
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