Add dataset card for IntTravel

Hi! I'm Niels from the community science team at Hugging Face. I'm opening this PR to add a dataset card for IntTravel.

This PR:
- Adds the `other` task category and relevant tags.
- Links the dataset to the research paper "[IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation](https://huggingface.co/papers/2602.11664)".
- Links to the [official GitHub repository](https://github.com/AMAP-ML/IntTravel).
- Includes detailed documentation of the dataset schema, including POI fields, user profiles, and interaction events.

README.md

@@ -0,0 +1,67 @@
+---
+task_categories:
+- other
+tags:
+- recommendation-system
+- poi-recommendation
+- mobility
+- travel
+size_categories:
+- 1B<n<10B
+---
+
+# IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation
+
+[Paper](https://huggingface.co/papers/2602.11664) | [GitHub](https://github.com/AMAP-ML/IntTravel)
+
+IntTravel is the first large-scale public dataset for integrated travel recommendation, including **4.1 billion interactions from 163 million users with 7.3 million POIs**. Built upon this dataset, the authors introduce an end-to-end, decoder-only generative framework for multi-task recommendation. It incorporates information preservation, selection, and factorization to balance task collaboration with specialized differentiation.
+
+## Dataset Structure
+
+The IntTravel dataset provides a comprehensive view of user journeys, including "when to depart", "how to travel", "where to go", and "what needs arise via the route".
+
+### Information of POIs
+The dataset contains **7,291,872** POIs distributed across several major cities in China.
+
+| Field | Description |
+|:---|:---|
+| POI ID | A unique identifier for each Point of Interest. |
+| Normalized score | A 0-1 score reflecting the overall popularity of the POI. |
+| Geographic ID | Identifier for the POI's geographic block. Same GIDs indicate geographical proximity. |
+| Category ID | A numerical identifier for the Point of Interest's category. |
+| Administrative Region ID | The identifier for the administrative region of the POI. |
+| Coordinates | The spatial coordinates of the POI on a 2D plane. |
+
+### User Profiles
+The dataset contains **162,815,861** users.
+
+| Field | Description |
+|:---|:---|
+| User ID | A unique identifier assigned to each user. |
+| Profile Feature 1-6 | Six profile features describing the user. |
+
+### User Interactions
+The dataset includes **4,129,827,011** user interaction events.
+
+| Field | Description |
+|:---|:---|
+| User ID | A unique identifier for the user who performed the interaction. |
+| Timestamp | The time of the user interaction, recorded in milliseconds. |
+| Action Type | A numerical ID representing the type of user behavior (e.g., click). |
+| POI ID | The identifier of the Point of Interest involved in the interaction. |
+| Geographic ID | The geographic block ID where the user was during the interaction. |
+| Administrative Region ID | The administrative region ID where the user was during the interaction. |
+| Weather | A numerical ID representing the weather condition during the interaction. |
+| Travel Mode | A numerical ID for the user's chosen travel mode. |
+| Via POI ID | The identifier for a way-point POI added by the user. |
+
+## Citation
+If you use this dataset in your research, please cite the following paper:
+```bibtex
+@article{yan2025inttravel,
+  title={IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation},
+  author={Huimin Yan and Longfei Xu and Junjie Sun and Zheng Liu and Wei Luo and Kaikui Liu and Xiangxiang Chu},
+  journal={arXiv preprint arXiv:2602.11664},
+  year={2025}
+}
+```