edit README

Author: chizkidd

README.md

@@ -88,8 +88,8 @@ A collection of various deep learning architectures, models, & their impleme
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 | Character-level RNN (GRU) | [Tiny Shakespeare](https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt) | - | [![PyTorch](https://img.shields.io/badge/Py-Torch-red)](pytorch/rnn/rnn-char-gru-tinyshakespeare.ipynb) |
 | Character-level RNN (GRU) | [Wikitext](https://huggingface.co/datasets/Salesforce/wikitext) | - | [![PyTorch](https://img.shields.io/badge/Py-Torch-red)](pytorch/rnn/rnn-char-gru-wikitext.ipynb) |
-| RNN Encoder-Decoder ([Seq2Seq](https://arxiv.org/pdf/1409.3215)) | [Multi30k (en-de)](https://huggingface.co/datasets/bentrevett/multi30k) | Implementation of [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation](https://arxiv.org/pdf/1406.1078) (2014) | [![PyTorch](https://img.shields.io/badge/Py-Torch-red)](pytorch/rnn/seq2seq.ipynb) |
-| Encoder-Decoder with [Bahdanau Attention](https://arxiv.org/pdf/1409.0473) | [Multi30k (en-de)](https://huggingface.co/datasets/bentrevett/multi30k) | Implementation of [Neural Machine Translation by Jointly Learning to Align and Translate](https://arxiv.org/pdf/1409.0473) (2016) | [![PyTorch](https://img.shields.io/badge/Py-Torch-red)](pytorch/rnn/seq2seq-attn.ipynb) |
+| RNN Encoder-Decoder ([Seq2Seq](https://arxiv.org/pdf/1409.3215)) | [Multi30k](https://huggingface.co/datasets/bentrevett/multi30k) | Implementation of [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation](https://arxiv.org/pdf/1406.1078) (2014) | [![PyTorch](https://img.shields.io/badge/Py-Torch-red)](pytorch/rnn/seq2seq.ipynb) |
+| Encoder-Decoder with [Bahdanau Attention](https://arxiv.org/pdf/1409.0473) | [Multi30k](https://huggingface.co/datasets/bentrevett/multi30k) | Implementation of [Neural Machine Translation by Jointly Learning to Align and Translate](https://arxiv.org/pdf/1409.0473) (2016) | [![PyTorch](https://img.shields.io/badge/Py-Torch-red)](pytorch/rnn/seq2seq-attn.ipynb) |
 
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