[chore] Update the code repository link in README (#14)

## Description
Modify the code repository link in _README.md_

---------

Signed-off-by: dpj135 <958208521@qq.com>

Author: dpj135

README.md

@@ -31,9 +31,9 @@ TransferQueue offers **fine-grained, sample-level** data management and **load-b
 <h2 id="updates">🔄 Updates</h2>
 
  - **Dec 30, 2025**:  **TransferQueue x verl** integration is tested with the DAPO algorithm at scale **(64 nodes, 1024 cards)**. It significantly optimizes host memory utilization and accelerates data transfers. Stay tuned for more details!
- - **Dec 20, 2025**: 🔥 The official [tutorial](https://github.com/TransferQueue/TransferQueue/tree/main/tutorial) is released! Feel free to check it out.
+ - **Dec 20, 2025**: 🔥 The official [tutorial](https://github.com/Ascend/TransferQueue/tree/main/tutorial) is released! Feel free to check it out.
  - **Nov 10, 2025**: We disentangle the data retrieval logic from TransferQueueController [PR#101](https://github.com/TransferQueue/TransferQueue/pull/101). Now you can implement your own `Sampler` to control how to consume the data.
- - **Nov 5, 2025**: We provide a `KVStorageManager` that simplifies the integration with KV-based storage backends [PR#96](https://github.com/TransferQueue/TransferQueue/pull/96). The first available KV-based backend is [Yuanrong](https://gitee.com/openeuler/yuanrong-datasystem).
+ - **Nov 5, 2025**: We provide a `KVStorageManager` that simplifies the integration with KV-based storage backends [PR#96](https://github.com/TransferQueue/TransferQueue/pull/96). The first available KV-based backend is [Yuanrong](https://gitcode.com/openeuler/yuanrong-datasystem).
  - **Nov 4, 2025**: Data partition capability is available in [PR#98](https://github.com/TransferQueue/TransferQueue/pull/98). Now you can define logical data partitions to manage your train/val/test datasets.
  - **Oct 25, 2025**: We make storage backends pluggable in [PR#66](https://github.com/TransferQueue/TransferQueue/pull/66). You can try to integrate your own storage backend with TransferQueue now!
  - **Oct 21, 2025**: Official integration into verl is ready [verl/pulls/3649](https://github.com/volcengine/verl/pull/3649). Following PRs will optimize the single controller architecture by fully decoupling data & control flows.
@@ -114,7 +114,7 @@ Core interfaces:
 - `(async_)put(data: TensorDict, metadata: Optional[BatchMeta], partition_id: Optional[str])`
 - `(async_)clear_partition(partition_id: str)` and `(async_)clear_samples(metadata: BatchMeta)`
 
-<span style="color: #FF0000;">**Refer to our [tutorial](https://github.com/TransferQueue/TransferQueue/tree/main/tutorial) for detailed examples.**</span>
+<span style="color: #FF0000;">**Refer to our [tutorial](https://github.com/Ascend/TransferQueue/tree/main/tutorial) for detailed examples.**</span>
 
 ### Collocated Example
 
@@ -131,7 +131,7 @@ Leveraging TransferQueue, we separate experience data transfer from metadata dis
 
 ![verl_dataflow_TransferQueue](https://github.com/TransferQueue/community_doc/blob/main/docs/verl_workflow_with_tq.jpeg?raw=true)
 
-You may refer to the [recipe](https://github.com/TransferQueue/TransferQueue/tree/dev/recipe/simple_use_case), where we mimic the verl usage in both async & sync scenarios. Official integration to verl is also available now at [verl/pulls/3649](https://github.com/volcengine/verl/pull/3649) (with subsequent PRs to further optimize the integration).
+You may refer to the [recipe](https://github.com/Ascend/TransferQueue/tree/dev/recipe/simple_use_case), where we mimic the verl usage in both async & sync scenarios. Official integration to verl is also available now at [verl/pulls/3649](https://github.com/volcengine/verl/pull/3649) (with subsequent PRs to further optimize the integration).
 
 ### Disaggregated Example
 
@@ -153,7 +153,7 @@ pip install TransferQueue
 Follow these steps to build and install:
 1. Clone the source code from the GitHub repository
    ```bash
-   git clone https://github.com/TransferQueue/TransferQueue/
+   git clone https://github.com/Ascend/TransferQueue/
    cd TransferQueue
    ```
 
@@ -239,7 +239,7 @@ batch_meta = client.get_meta(
 )
 ```
 
-<span style="color: #FF0000;">**Refer to [tutorial/04_custom_sampler.py](https://github.com/TransferQueue/TransferQueue/blob/main/tutorial/04_custom_sampler.py) for more details.**</span>
+<span style="color: #FF0000;">**Refer to [tutorial/04_custom_sampler.py](https://github.com/Ascend/TransferQueue/blob/main/tutorial/04_custom_sampler.py) for more details.**</span>
 
 
 ### How to integrate a new storage backend