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@@ -78,7 +78,7 @@ Please check out [README under scripts/m4t/finetune](scripts/m4t/finetune/README
 
 Apart from Seamless-M4T large (2.3B) and medium (1.2B) models, we are also releasing a small model (281M) targeted for on-device inference. To learn more about the usage and model details check out [README here](https://github.com/facebookresearch/seamless_communication/blob/main/docs/m4t/on_device_README.md)
 
 Apart from Seamless-M4T large (2.3B) and medium (1.2B) models, we are also releasing a small model (281M) targeted for on-device inference. To learn more about the usage and model details check out [README here](https://github.com/facebookresearch/seamless_communication/blob/main/docs/m4t/on_device_README.md)
 
 
 
 ## Data
 
 ## Data
 
-We open-source metadata for reconstructing the dataset we used for training our models. You can find the data and how to rebuild the dataset [here](data/seamless_communication/README.md).
 
+We open-source metadata for reconstructing the dataset we used for training our models. You can find the data and how to rebuild the dataset [here](https://github.com/facebookresearch/seamless_communication/blob/main/docs/m4t/data_README.md).
 
 
 
 # Citation
 
 # Citation
 
 If you use SeamlessM4T in your work or any models/datasets/artifacts published in SeamlessM4T, please cite :
 
 If you use SeamlessM4T in your work or any models/datasets/artifacts published in SeamlessM4T, please cite :