Update seq2seq.ipynb
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@ -2,7 +2,7 @@
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"cells": [
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"cells": [
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 20,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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@ -23,7 +23,11 @@
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"from torch.utils.data import TensorDataset, DataLoader, RandomSampler\n",
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"from torch.utils.data import TensorDataset, DataLoader, RandomSampler\n",
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"\n",
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"\n",
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"import matplotlib.pyplot as plt\n",
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"import matplotlib.pyplot as plt\n",
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"import matplotlib.ticker as ticker"
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"import matplotlib.ticker as ticker\n",
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"\n",
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"import pandas as pd\n",
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"from nltk.translate.bleu_score import corpus_bleu, SmoothingFunction\n",
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"import nltk"
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]
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]
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},
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},
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{
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{
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@ -579,9 +583,6 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"import pandas as pd\n",
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"from nltk.translate.bleu_score import corpus_bleu, SmoothingFunction\n",
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"import nltk\n",
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"nltk.download('punkt')\n",
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"nltk.download('punkt')\n",
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"\n",
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"\n",
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"def filter_data(data, max_length, prefixes):\n",
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"def filter_data(data, max_length, prefixes):\n",
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