Update README.md

README.md

@@ -29,7 +29,7 @@ The 11 languages covered by IndicBERT are: Assamese, Bengali, Gujarati, Hindi, K
 The link to our GitHub repository containing all our code can be found [here](https://github.com/AI4Bharat/indicner). The link to our paper can be found here.
 
 ## Training Corpus
-Our model was trained on a [dataset](https://huggingface.co/datasets/ai4bharat/IndicNER) which we mined from the existing [Samanantar Corpus](https://huggingface.co/datasets/ai4bharat/samanantar). We used a bert-base-multilingual-uncased model as the starting point and then fine-tuned it to the NER dataset mentioned previously.
+Our model was trained on a [dataset](https://huggingface.co/datasets/ai4bharat/naamapadam) which we mined from the existing [Samanantar Corpus](https://huggingface.co/datasets/ai4bharat/samanantar). We used a bert-base-multilingual-uncased model as the starting point and then fine-tuned it to the NER dataset mentioned previously.
 
 ## Evaluation Results
 Benchmarking on our testset.