Add dataset card, link to paper and GitHub repository
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by nielsr HF Staff - opened
README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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task_categories:
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- other
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tags:
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- recommendation-system
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- sequential-recommendation
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- ranking
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---
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# UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction
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This repository contains preprocessed datasets for **UniRank**, an open benchmark for evaluating ranking models that unify sequential modeling and feature interaction in recommender systems.
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- **Paper:** [UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction](https://huggingface.co/papers/2607.19987)
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- **GitHub Repository:** [salmon1802/UniRank](https://github.com/salmon1802/UniRank)
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## Overview
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UniRank standardizes chronological point-wise autoregressive supervision, multi-feedback evaluation, model implementations, data processing, and distributed training in one reproducible pipeline.
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The benchmark contains fifteen unified ranking architectures and five industrial datasets from short-video, advertising, and e-commerce scenarios.
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## Dataset Statistics
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The benchmark evaluates unified ranking models on five large-scale public datasets spanning short-video, advertising, and e-commerce platforms:
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| Dataset | Instances | Users | Items | Fields | Tasks | Avg. length | Max. length |
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|:--|--:|--:|--:|--:|--:|--:|--:|
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| QK-Video | 493,306,303 | 4,996,176 | 3,752,235 | 10 | 4 | 99 | 6,013 |
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| KuaiRand | 323,464,444 | 27,285 | 32,038,725 | 40 | 6 | 11,855 | 228,030 |
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| TAAC-25 | 757,207,146 | 7,706,778 | 15,707,425 | 30 | 2 | 98 | 100 |
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| Taobao | 23,601,301 | 470,570 | 831,643 | 23 | 4 | 50 | 3,756 |
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| MerRec | 172,304,959 | 1,697,072 | 42,577,610 | 20 | 5 | 102 | 26,576 |
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## Preprocessed Datasets
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| Dataset ID | Feedback tasks | Hugging Face Dataset Link |
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| :--- | :--- | :--- |
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| `QK_Video_Action` | click, follow, like, share | [salmon1802/QK-Video](https://huggingface.co/datasets/salmon1802/QK-Video) |
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| `KuaiRand_Video_Action` | click, follow, like, comment, forward, long-view | [salmon1802/KuaiRand](https://huggingface.co/datasets/salmon1802/KuaiRand) |
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| `TencentGR_10M_Action` | click, conversion | [salmon1802/TAAC-25](https://huggingface.co/datasets/salmon1802/TAAC-25) |
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| `Taobao_Action` | click, cart, favorite, buy | [salmon1802/Taobao](https://huggingface.co/datasets/salmon1802/Taobao) |
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| `MerRec_Action` | like, cart, offer, checkout, purchase | [salmon1802/MerRec](https://huggingface.co/datasets/salmon1802/MerRec) |
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## Quick Start (Download)
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You can download any of the preprocessed datasets using the Hugging Face CLI:
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```bash
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pip install huggingface_hub
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# Example: Downloading KuaiRand dataset
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huggingface-cli download salmon1802/KuaiRand \
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--repo-type dataset \
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--local-dir /path/to/data/KuaiRand_Video_Action
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```
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Please update your local paths in `config/dataset_config.yaml` as described in the [GitHub Repository](https://github.com/salmon1802/UniRank).
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---
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Please refer to the [official GitHub repository](https://github.com/salmon1802/UniRank) for setup, training, and evaluation code.
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