TAAC2025/TencentGR-10M
TencentGR-10M Dataset TAAC2025 Second Round Dataset(2025年腾讯广告算法大赛复赛数据集) TencentGR-10M Dataset is a large-scale, all-modality dataset designed specifically for generative recommendation (GR) in industrial advertising. Similar to TencentGR-1M, it is constructed from real, de-identified Tencent Ads logs, and aims to address the lack of realistic, public multi-modal datasets in the GR field. The main differences between TencentGR-10M and TencentGR-1M are: Dataset Size: Provides 10… See the full description on the dataset page: https://huggingface.co/datasets/TAAC2025/TencentGR-10M.
| Author / organization | TAAC2025 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 8.8K (as reported by Hugging Face) |
| Likes | 15 |
| Created | 30 March 2026 |
| Last updated at source | 30 March 2026 |
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