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Update README.md

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@@ -19,20 +19,9 @@ configs:
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  path: poi_info.csv
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  - split: poi_info_groupby_gid
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  path: poi_info_groupby_gid.csv
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- dataset_info:
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- features:
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- - name: "user_id\ttimestamp\taction_type\tpoi_id\tgeographic_id\tadministrative_region_id\t\
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- weather\ttravel_mode\tvia_poi_id"
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- dtype: string
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- splits:
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- - name: interaction
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- num_bytes: 2126134566
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- num_examples: 41221617
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- download_size: 1535432558
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- dataset_size: 2126134566
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  ---
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- **We are currently in the process of optimizing the data organization and continuously uploading a large-scale dataset. The data currently available is for reference purposes only. The README will be updated once the full dataset has been uploaded. Please stay tuned for updates.**
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  # IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation
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@@ -45,7 +34,7 @@ IntTravel is the first large-scale public dataset for integrated travel recommen
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  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".
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  ### Information of POIs
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- The dataset contains **7,291,872** POIs distributed across several major cities in China.
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  | Field | Description |
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  |:---|:---|
@@ -57,7 +46,7 @@ The dataset contains **7,291,872** POIs distributed across several major cities
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  | Coordinates | The spatial coordinates of the POI on a 2D plane. |
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  ### User Profiles
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- The dataset contains **162,815,861** users.
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  | Field | Description |
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  |:---|:---|
@@ -65,7 +54,7 @@ The dataset contains **162,815,861** users.
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  | Profile Feature 1-6 | Six profile features describing the user. |
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  ### User Interactions
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- The dataset includes **4,129,827,011** user interaction events.
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  | Field | Description |
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  |:---|:---|
 
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  path: poi_info.csv
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  - split: poi_info_groupby_gid
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  path: poi_info_groupby_gid.csv
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ **All data has been uploaded. Please note that the current POI dataset does not include coordinate information. We will be updating it as soon as possible, so please stay tuned. If you do not need the coordinate information for the POIs, please disregard this message.**
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  # IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation
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  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".
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  ### Information of POIs
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+ The dataset contains **7,291,872** POIs distributed across several major cities in China. The POI data is stored in the `poi_info.csv` file. The `poi_info_groupby_gid.csv` file is produced based on `poi_info.csv` for the convenience of geographic negative sampling.
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  | Field | Description |
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  |:---|:---|
 
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  | Coordinates | The spatial coordinates of the POI on a 2D plane. |
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  ### User Profiles
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+ The dataset contains **162,815,861** users. The user data is stored in the `user_info.csv` file.
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  | Field | Description |
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  |:---|:---|
 
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  | Profile Feature 1-6 | Six profile features describing the user. |
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  ### User Interactions
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+ The dataset includes **4,129,827,011** user interaction events. Due to the large volume of data, the user interaction data has been split into 100 files, ranging from `interaction_1.csv` to `interaction_100.csv`, with each file containing approximately 40 million records.
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  | Field | Description |
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  |:---|:---|