Update README.md

README.md

@@ -22,8 +22,58 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 180239660645.0
+    num_bytes: 180239660645
     num_examples: 100000
   download_size: 172620977911
-  dataset_size: 180239660645.0
+  dataset_size: 180239660645
+task_categories:
+- text-to-audio
+tags:
+- DPO
+- text-to-audio
 ---
+
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+This dataset consists of 100k audio preference pairs generated by TangoFlux during the CRPO stage. Specifically, TangoFlux performed five iterations of CRPO. In each iteration, 20k prompts were sampled from a prompt bank. For each prompt, audio samples with the highest and lowest CLAP scores were selected to form the "chosen" and "rejected" pairs, respectively. This process resulted in a total of 100k preference pairs.
+
+
+Since every iteration contains 20k prompts sampled from audiocaps prompts, some prompts are the same across iterations.
+
+### Dataset Sources 
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Repository:** https://github.com/declare-lab/TangoFlux
+- **Paper :** https://arxiv.org/abs/2412.21037
+- **Demo :** https://huggingface.co/spaces/declare-lab/TangoFlux
+
+## Uses
+
+<!-- Address questions around how the dataset is intended to be used. -->
+
+You can directly download the dataset and use them for preference optimization in text-to-audio.
+
+
+
+
+## Citation 
+
+If you find our dataset useful, please cite us! Thanks!
+
+**BibTeX:**
+
+```
+@misc{hung2024tangofluxsuperfastfaithful,
+      title={TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization}, 
+      author={Chia-Yu Hung and Navonil Majumder and Zhifeng Kong and Ambuj Mehrish and Rafael Valle and Bryan Catanzaro and Soujanya Poria},
+      year={2024},
+      eprint={2412.21037},
+      archivePrefix={arXiv},
+      primaryClass={cs.SD},
+      url={https://arxiv.org/abs/2412.21037}, 
+}
+```