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README.md
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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: string
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- name: video_file
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dtype: string
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- name: source
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dtype: string
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- name: duration
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dtype: string
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- name: description
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dtype: string
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- name: events
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dtype: string
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- name: n_subjects
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dtype: string
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- name: n_shots
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dtype: string
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- name: n_events
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dtype: string
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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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## Dataset Description
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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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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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Bellow is the dataset statistics:
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![images](./assets/dream-1k-statistics.png)
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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
|
5 |
+
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
|
7 |
+
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: string
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- name: video_file
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dtype: string
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- name: source
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dtype: string
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- name: duration
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dtype: string
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- name: description
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dtype: string
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- name: events
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dtype: string
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- name: n_subjects
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dtype: string
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- name: n_shots
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dtype: string
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- name: n_events
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dtype: string
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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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## Dataset Description
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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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![images](./assets/dream-1k-statistics.png)
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