Datasets:
Download docs/video_sources.md from UniX-Lab/StreamOPD-Data: direct link, hf CLI and curl.
- Browser
- Download file 4.32 kB
-
https://huggingface.co/datasets/UniX-Lab/StreamOPD-Data/resolve/main/docs/video_sources.md
- Command line
-
hf download hf://datasets/UniX-Lab/StreamOPD-Data/docs/video_sources.md
-
curl -L -o video_sources.md https://huggingface.co/datasets/UniX-Lab/StreamOPD-Data/resolve/main/docs/video_sources.md
Video sources and local reconstruction
This repository publishes annotations only. Download upstream videos into a local directory after reviewing the upstream terms and access requirements.
| Component | Upstream repository | Pinned revision inspected for this release |
|---|---|---|
| QA annotations | CASIA-IVA-Lab/ThinkStream |
94a9d82bc74864ba6b705b52ffa3a2d4bc9733e8 |
| LLaVA video packages | lmms-lab/LLaVA-Video-178K |
6d8c562dc26d70042a0d9704d1cae58c94b89098 |
| Kinetics-700 video package | omni-research/Tarsier2-Recap-585K |
5cffa8342bbd9900fb50fdb7fd1b5f2cd1778ac4 |
The last source is access-gated. Request access on its Hugging Face page and log in locally before downloading. Keep access tokens out of scripts and command history. Pinned repository revisions document upstream file listings; they are not a claim that every local video was byte-hashed against that revision.
Required LLaVA subsets
The release references these five subsets, with their original names:
0_30_s_youtube_v0_1
0_30_s_academic_v0_1
1_2_m_academic_v0_1
1_2_m_activitynetqa
2_3_m_academic_v0_1
metadata/video_manifest.parquet is the exact list of required files. Archives may
contain additional videos. Avoid downloading the entire upstream repository if only
these annotations are needed.
Example, sequential download of the required archive groups:
from huggingface_hub import snapshot_download
subsets = [
"0_30_s_youtube_v0_1", "0_30_s_academic_v0_1",
"1_2_m_academic_v0_1", "1_2_m_activitynetqa", "2_3_m_academic_v0_1",
]
snapshot_download(
repo_id="lmms-lab/LLaVA-Video-178K", repo_type="dataset",
revision="6d8c562dc26d70042a0d9704d1cae58c94b89098",
allow_patterns=[f"{subset}/*.tar.gz" for subset in subsets],
local_dir="downloads/LLaVA-Video-178K", max_workers=1,
)
Inspect each archive's member paths, then extract each archive under its matching subset directory. For example, for one archive:
mkdir -p /path/to/videos/LLaVA-Video-178K/0_30_s_youtube_v0_1
tar -xzf downloads/LLaVA-Video-178K/0_30_s_youtube_v0_1/0_30_s_youtube_v0_1_videos_1.tar.gz \
-C /path/to/videos/LLaVA-Video-178K/0_30_s_youtube_v0_1
Historical annotations contain .../<subset>/data/<source-folder>/.... The archive
may instead extract .../<subset>/<source-folder>/.... The preparation script tries
both forms, so a machine-specific symlink is unnecessary. liwei_youtube_videos,
academic_source, and ActivityNet-QA are inherited upstream directory names.
Kinetics-700 package
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="omni-research/Tarsier2-Recap-585K", repo_type="dataset",
revision="5cffa8342bbd9900fb50fdb7fd1b5f2cd1778ac4",
allow_patterns=["Kinetics-700/videos.tar.part-*", "Kinetics-700/metadata.json"],
local_dir="downloads/Tarsier2", max_workers=1,
)
The inspected package has 13 numbered videos.tar.part-* files. After obtaining all
parts, concatenate in filename order and extract the tar stream:
mkdir -p /path/to/videos/Kinetics-700
cat downloads/Tarsier2/Kinetics-700/videos.tar.part-* \
| tar -xf - -C /path/to/videos/Kinetics-700
The archive contains videos/<clip-id>.mp4. Clip filenames such as
<video-id>_000179_000189.mp4 identify an upstream clip; the annotation interval is
relative to that clip, not the original full YouTube timeline. Re-downloading from
another source can change clip boundaries or availability, so verify correspondence.
Expected layout
videos/
├── LLaVA-Video-178K/
│ ├── 0_30_s_youtube_v0_1/liwei_youtube_videos/...
│ ├── 0_30_s_academic_v0_1/academic_source/...
│ ├── 1_2_m_academic_v0_1/academic_source/...
│ ├── 1_2_m_activitynetqa/ActivityNet-QA/...
│ └── 2_3_m_academic_v0_1/academic_source/...
└── Kinetics-700/videos/...
Validate path mapping without writing output:
python scripts/prepare_local_data.py --video-root /path/to/videos --config current --check-only
Use --llava-root and --kinetics-root if sources are stored separately. The check
does not download, decode or modify videos. File existence alone cannot guarantee
correct clip identity, decodability, or the validity of every time interval.