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Datasets:
Cola-any
/
Video-LevelGauge

Tasks:
Video-Text-to-Text
Modalities:
Tabular
Text
Video
Formats:
parquet
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
video-understanding
large-video-language-models
lvlm
positional-bias
benchmark
evaluation
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
2
Cola-any commited on
Commit
6e2a935
·
1 Parent(s): d2f84b6

add video

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  1. README.md +1 -1
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README.md CHANGED
@@ -14,7 +14,7 @@ Video-LevelGauge is explicitly designed to investigate contextual positional bia
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  It supports flexible control over context length, probe position, and context composition to evaluate positional biases in various real-world scenarios, such as multi-video understanding, long video comprehension and multi-modal interleaved inputs.
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  Video-LevelGauge encompasses six categories of structured video understanding tasks (e.g., action reasoning), along with an open-ended descriptive task. It includes 438 manually collected multi-type videos, 1,177 multiple-choice question answering (MCQA) items, and 120 open-ended instructed descriptive problems paired with annotations.
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  <p align="center">
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- <img src="./fig/overview.png" width="95%" height="95%">
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  </p>
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  ## 🔍 Dataset
 
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  It supports flexible control over context length, probe position, and context composition to evaluate positional biases in various real-world scenarios, such as multi-video understanding, long video comprehension and multi-modal interleaved inputs.
15
  Video-LevelGauge encompasses six categories of structured video understanding tasks (e.g., action reasoning), along with an open-ended descriptive task. It includes 438 manually collected multi-type videos, 1,177 multiple-choice question answering (MCQA) items, and 120 open-ended instructed descriptive problems paired with annotations.
16
  <p align="center">
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+ <img src="./figs/overview.png" width="95%" height="95%">
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  </p>
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  ## 🔍 Dataset
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