Update dataset card with paper and code links

README.md

@@ -1,64 +1,64 @@
 ---
+language:
+- en
 license: apache-2.0
+size_categories:
+- 10M<n<100M
 task_categories:
-  - audio-classification
-  - audio-to-audio
-language:
-  - en
-tags:
-  - audio
-  - sound-separation
-  - universal-sound-separation
-  - audio-mixing
-  - audioset
+- audio-to-audio
 pretty_name: Hive Dataset
-size_categories:
-  - 10M<n<100M
+arxiv: 2601.22599
+tags:
+- audio
+- sound-separation
+- universal-sound-separation
+- audio-mixing
+- audioset
 dataset_info:
   features:
-    - name: mix_id
+  - name: mix_id
+    dtype: string
+  - name: split
+    dtype: string
+  - name: sample_rate
+    dtype: int32
+  - name: target_duration
+    dtype: float64
+  - name: num_sources
+    dtype: int32
+  - name: sources
+    sequence:
+    - name: source_id
       dtype: string
-    - name: split
+    - name: path
       dtype: string
-    - name: sample_rate
-      dtype: int32
-    - name: target_duration
+    - name: label
+      dtype: string
+    - name: crop_start_second
+      dtype: float64
+    - name: crop_end_second
+      dtype: float64
+    - name: chunk_start_second
       dtype: float64
-    - name: num_sources
-      dtype: int32
-    - name: sources
-      sequence:
-        - name: source_id
-          dtype: string
-        - name: path
-          dtype: string
-        - name: label
-          dtype: string
-        - name: crop_start_second
-          dtype: float64
-        - name: crop_end_second
-          dtype: float64
-        - name: chunk_start_second
-          dtype: float64
-        - name: chunk_end_second
-          dtype: float64
-        - name: rms_gain
-          dtype: float64
-        - name: snr_db
-          dtype: float64
-        - name: applied_weight
-          dtype: float64
-    - name: global_normalization_factor
+    - name: chunk_end_second
       dtype: float64
-    - name: final_max_amplitude
+    - name: rms_gain
       dtype: float64
+    - name: snr_db
+      dtype: float64
+    - name: applied_weight
+      dtype: float64
+  - name: global_normalization_factor
+    dtype: float64
+  - name: final_max_amplitude
+    dtype: float64
   splits:
-    - name: train
-      num_examples: 5000000
-    - name: validation
-      num_examples: 500000
-    - name: test
-      num_examples: 100000
+  - name: train
+    num_examples: 5000000
+  - name: validation
+    num_examples: 500000
+  - name: test
+    num_examples: 100000
 ---
 
 <h1 align="center">A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation</h1>
@@ -70,7 +70,7 @@ dataset_info:
     <strong>Tsinghua University, Shanda AI, Johns Hopkins University</strong><br>
     <strong><sup>*</sup>Equal contribution</strong><br>
     <strong>Completed during Kai Li's internship at Shanda AI.</strong><br>
-  <a href="#">📜 Arxiv 2026</a> | <a href="https://shandaai.github.io/Hive/">🎶 Demo</a>
+  <a href="https://arxiv.org/abs/2601.22599">📜 Arxiv 2026</a> | <a href="https://github.com/ShandaAI/Hive">💻 Code</a> | <a href="https://shandaai.github.io/Hive/">🎶 Demo</a>
 </p>
 
 ## Usage
@@ -295,6 +295,12 @@ Hive integrates **12 public datasets** to construct a long-tailed acoustic space
 If you use this dataset, please cite:
 
 ```bibtex
+@article{li2026hive,
+  title={A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation},
+  author={Li, Kai and Cheng, Jintao and Zeng, Chang and Yan, Zijun and Wang, Helin and Su, Zixiong and Zheng, Bo and Hu, Xiaolin},
+  journal={arXiv preprint arXiv:2601.22599},
+  year={2026}
+}
 ```
 
 ---
@@ -321,4 +327,4 @@ We extend our gratitude to the researchers and organizations who curated the fou
 
 ## 📬 Contact
 
-For questions or issues, please open an issue on the [GitHub repository](https://github.com/ShandaAI/Hive) or contact the authors.
+For questions or issues, please open an issue on the [GitHub repository](https://github.com/ShandaAI/Hive) or contact the authors.