Download spam dataset into the ./datasets/ folder
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f9d581b646
commit
060420e1ac
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@ -3510,10 +3510,19 @@
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"execution_count": 126,
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"execution_count": 126,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Downloading data from https://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz\n",
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"84131840/84125825 [==============================] - 27s 0us/step\n",
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"84140032/84125825 [==============================] - 27s 0us/step\n"
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]
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},
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{
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{
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"data": {
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"data": {
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"text/plain": [
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"text/plain": [
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"PosixPath('/Users/ageron/.keras/datasets/aclImdb')"
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"PosixPath('datasets/aclImdb')"
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]
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]
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},
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},
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"execution_count": 126,
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"execution_count": 126,
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@ -3526,7 +3535,8 @@
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"\n",
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"\n",
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"root = \"https://ai.stanford.edu/~amaas/data/sentiment/\"\n",
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"root = \"https://ai.stanford.edu/~amaas/data/sentiment/\"\n",
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"filename = \"aclImdb_v1.tar.gz\"\n",
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"filename = \"aclImdb_v1.tar.gz\"\n",
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"filepath = tf.keras.utils.get_file(filename, root + filename, extract=True)\n",
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"filepath = tf.keras.utils.get_file(filename, root + filename, extract=True,\n",
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" cache_dir=\".\")\n",
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"path = Path(filepath).with_name(\"aclImdb\")\n",
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"path = Path(filepath).with_name(\"aclImdb\")\n",
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"path"
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"path"
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]
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]
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@ -3570,7 +3580,7 @@
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"name": "stdout",
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"name": "stdout",
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"output_type": "stream",
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"output_type": "stream",
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"text": [
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"text": [
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"/Users/ageron/.keras/datasets/aclImdb/\n",
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"datasets/aclImdb/\n",
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" test/\n",
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" test/\n",
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" neg/\n",
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" neg/\n",
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" 0_2.txt\n",
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" 0_2.txt\n",
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