TAAC2025/TencentGR-1M
TencentGR-1M Dataset Paper | Project Page | Code TAAC2025 Preliminary Round Dataset (2025年腾讯广告算法大赛初赛数据集) TencentGR-1M Dataset is a large-scale, all-modality dataset designed specifically for generative recommendation (GR) in industrial advertising. Constructed from real, de-identified Tencent Ads logs, it aims to address the lack of realistic, public multi-modal datasets in the GR field. Data Features: Contains rich collaborative IDs and multi-modal representations (text and… See the full description on the dataset page: https://huggingface.co/datasets/TAAC2025/TencentGR-1M.
| Author / organization | TAAC2025 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 15.8K (as reported by Hugging Face) |
| Likes | 24 |
| Created | 28 March 2026 |
| Last updated at source | 24 May 2026 |
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