Datasets:
Download SOURCE_NOTICE.md from singleman/DRIVE-UGC: direct link, hf CLI and curl.
- Browser
- Download file 2.43 kB
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https://huggingface.co/datasets/singleman/DRIVE-UGC/resolve/main/SOURCE_NOTICE.md
- Command line
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hf download hf://datasets/singleman/DRIVE-UGC/SOURCE_NOTICE.md
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curl -L -o SOURCE_NOTICE.md https://huggingface.co/datasets/singleman/DRIVE-UGC/resolve/main/SOURCE_NOTICE.md
Source and content notice
Source contributions
DRIVE-UGC contains selected posts and images from publicly accessible Autohome automotive-community contributions archived for a 2026 research study. The records organize these contributions into labeled events for vehicle preference ranking.
Copyright and other rights in third-party posts and images remain with their respective creators and other rights holders. The repository does not grant a new open-content license over these source materials. Public availability of the release and source attribution are separate from the rights governing reuse.
Released representations
Post titles and bodies use the research archive's sanitized text, including vehicle-identity placeholders. An additional 14 contact strings in nine posts were replaced with [CONTACT] for release (11 explicit mobile contact numbers, one QQ identifier, and two phone-number-formatted usernames), while frozen features preserve the encoding of the archived texts before these replacements. The original selected-image archive preserves the selected image bytes and resolves images by content hash.
The accompanying visual arrays were computed under the study's OCR-MASK input procedure, which targets detected vehicle-identity text. They therefore represent a different image-processing stage from the selected original image bytes. These arrays contain local region vectors for the BGFP/RRP research configuration.
Vehicle-identity masking controls benchmark cues. Original images may retain faces, license plates, logos, or other identifying details; event IDs and content-group IDs provide pseudonymous metadata associations. These properties should guide interpretation of the released content.
Encoder provenance
- Text encoder: BAAI/bge-large-zh-v1.5, producing 1,024-dimensional post features.
- Visual encoder: google/siglip2-so400m-patch14-384, producing 1,152-dimensional regional features.
Encoder weights are distributed through their upstream repositories, whose model cards provide documentation and applicable terms. This release contains extracted features and data-loading materials.
Source attribution
Autohome: https://www.autohome.com.cn/
Dataset name: DRIVE-UGC — Decision-stage Ranking with Image and Verbal Evidence from User-Generated Content.