AL-GR/AL-GR
AL-GR: A Large-scale Generative Recommendation Dataset Dataset Summary AL-GR is a large-scale dataset designed for generative recommendation tasks using Large Language Models (LLMs). The core idea is to transform user historical behavior sequences into natural language prompts, enabling an LLM to learn and predict a user's subsequent actions in an e-commerce scenario. The dataset contains over 400 million behavior sequences. Each sample includes three fields:… See the full description on the dataset page: https://huggingface.co/datasets/AL-GR/AL-GR.
| Author / organization | AL-GR |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 443 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 9 September 2025 |
| Last updated at source | 11 November 2025 |
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443 now (+14 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: AL-GR: A Large-scale Generative Recommendation Dataset Dataset Summary AL-GR is a large-scale dataset designed for generative recommendation tasks using Large Language Models (LLMs). The core idea is to transform user historical behavior se → AL-GR: A Large-scale Generative Recommendation Dataset Dataset Summary AL-GR is a large-scale dataset designed for generative recommendation tasks using Large Language Models (LLMs). The core idea is to transform user historical behavior se
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More from AL-GR
- AL-GR/Item-EMBDataset
- AL-GR/Origin-Sequence-DataDataset
- AL-GR/AL-GR-v1Dataset
- AL-GR/AL-GR-TinyDataset
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