AL-GR/AL-GR-Tiny
AL-GR-Tiny: A Complete & Sampled Generative Recommendation Dataset Dataset Summary AL-GR-Tiny is a compact, self-contained, and sampled version of the large-scale AL-GR ecosystem. It is designed for users who want to quickly experiment, develop, or understand the full pipeline of generative recommendation without needing to process terabytes of data. This "all-in-one" repository bundles everything you need: Pre-processed Training/Testing Data: Ready-to-use data… See the full description on the dataset page: https://huggingface.co/datasets/AL-GR/AL-GR-Tiny.
| Author / organization | AL-GR |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 359 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 12 September 2025 |
| Last updated at source | 16 October 2025 |
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359 now (+11 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: AL-GR-Tiny: A Complete & Sampled Generative Recommendation Dataset Dataset Summary AL-GR-Tiny is a compact, self-contained, and sampled version of the large-scale AL-GR ecosystem. It is designed for users who want to quickly experiment, dev → AL-GR-Tiny: A Complete & Sampled Generative Recommendation Dataset Dataset Summary AL-GR-Tiny is a compact, self-contained, and sampled version of the large-scale AL-GR ecosystem. It is designed for users who want to quickly experiment, dev
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