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---
license: apache-2.0
extra_gated_prompt: >-
You agree to not use the dataset to conduct experiments that cause harm to
human subjects. Please note that the data in this dataset may be subject to
other agreements. Before using the data, be sure to read the relevant
agreements carefully to ensure compliant use. Video copyrights belong to the
original video creators or platforms and are for academic research use only.
dataset_info:
config_name: dream-1k
features:
- name: idx
dtype: string
- name: video_file
dtype: string
- name: source
dtype: string
- name: duration
dtype: string
- name: description
dtype: string
- name: events
dtype: string
- name: n_subjects
dtype: string
- name: n_shots
dtype: string
- name: n_events
dtype: string
splits:
- name: test
size_categories:
- 1K<n<10K
configs:
- config_name: DREAM-1K
data_files:
- split: test
path: json/metadata.json
---
# DREAM-1K
## Dataset Description
- **Repository:** [DREAM-1K](https://github.com/bytedance/tarsier)
- **Paper:** [2407.00634](https://arxiv.org/abs/2407.00634)
DREAM-1K (<b>D</b>escription
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.
Bellow is the dataset statistics:
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