wangjiawei.424 commited on
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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ extra_gated_prompt: >-
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+ You agree to not use the dataset to conduct experiments that cause harm to
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+ human subjects. Please note that the data in this dataset may be subject to
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+ other agreements. Before using the data, be sure to read the relevant
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+ agreements carefully to ensure compliant use. Video copyrights belong to the
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+ original video creators or platforms and are for academic research use only.
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+ dataset_info:
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+ config_name: dream-1k
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+ features:
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+ - name: idx
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+ dtype: int
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+ - name: video_file
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+ dtype: str
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+ - name: source
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+ dtype: str
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+ - name: duration
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+ dtype: float
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+ - name: description
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+ dtype: str
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+ - name: events
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+ dtype: List[str]
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+ - name: n_subjects
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+ dtype: int
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+ - name: n_shots
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+ dtype: int
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+ - name: n_events
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+ dtype: int
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+ splits:
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+ - name: test
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+ language:
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+ - en
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+ size_categories:
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+ - 1K<n<10K
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+ configs:
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+ - config_name: DREAM-1K
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+ data_files:
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+ - split: test
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+ path: json/metadata.json
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  ---
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+ # DREAM-1K
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+
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+ ## Dataset Description
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+
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+ - **Repository:** [DREAM-1K](https://github.com/bytedance/tarsier)
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+ - **Paper:** [2407.00634](https://arxiv.org/abs/2407.00634)
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+
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+ DREAM-1K (<b>D</b>escription
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+ with <b>R</b>ich <b>E</b>vents, <b>A</b>ctions, and <b>M</b>otions) is a challenging video description benchmark. It contains a collection of 1,000 short (around 10 seconds) video clips with diverse complexities from five different origins: live-action movies, animated movies, stock videos, long YouTube videos, and TikTok-style short videos. We provide a fine-grained manual annotation for each video.
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+
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+ Bellow is the dataset statistics:
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+
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+ ![images](./assets/dream-1k-statistics.png)
assets/dream-1k-statistics.png ADDED

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