Upload sd_token_similarity_calculator.ipynb
Browse files- sd_token_similarity_calculator.ipynb +20 -398
sd_token_similarity_calculator.ipynb
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@@ -83,28 +83,10 @@
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],
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"metadata": {
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"id": "Ch9puvwKH1s3",
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"collapsed": true
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "982a9210-a3fd-4d90-bef7-5aa6f5864797"
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"outputs": [
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Cloning into 'sd_tokens'...\n",
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"remote: Enumerating objects: 10, done.\u001b[K\n",
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"remote: Counting objects: 100% (7/7), done.\u001b[K\n",
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"remote: Compressing objects: 100% (7/7), done.\u001b[K\n",
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"remote: Total 10 (delta 1), reused 0 (delta 0), pack-reused 3 (from 1)\u001b[K\n",
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"Unpacking objects: 100% (10/10), 306.93 KiB | 4.72 MiB/s, done.\n",
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"/content/sd_tokens\n"
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]
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"cell_type": "code",
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"outputId": "86f2f01e-6a04-4292-cee7-70fd8398e07f"
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"output_type": "stream",
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"metadata": {
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"id": "YqdiF8DIz9Wu"
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"outputs": []
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],
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"metadata": {
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"id": "oXbNSRSKPgRr",
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"collapsed": true
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"colab": {
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"base_uri": "https://localhost:8080/"
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"outputId": "76f8ec94-d29c-46d9-893b-49875f3a1949"
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"name": "stdout",
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"text": [
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"Tokenized prompt 'mix_with' tensor C is a random valued tensor with no ID\n",
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"No operation\n"
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]
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"metadata": {
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"id": "juxsvco9B0iV",
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"collapsed": true
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "dc893bbf-e9cb-425c-95b8-ffafd3ab2fbc"
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Calculated all cosine-similarities between the token banana</w> with Id_A = 8922 with the the rest of the 49407 tokens as a 1x49407 tensor\n"
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]
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"cell_type": "markdown",
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],
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"metadata": {
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"id": "YIEmLAzbHeuo",
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"collapsed": true
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "4a2fa70f-16ff-4bba-fb01-d39ad697d4ff"
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"execution_count":
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"outputs": [
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"banana</w>\n",
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"similiarity = 100.0 %\n",
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"--------\n",
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"bananas</w>\n",
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"similiarity = 38.93 %\n",
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"--------\n",
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"banan\n",
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"similiarity = 30.8 %\n",
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"--------\n",
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"ðŁįĮ</w>\n",
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"similiarity = 27.12 %\n",
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"--------\n",
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"pineapple</w>\n",
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"similiarity = 19.7 %\n",
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"--------\n",
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"chicken</w>\n",
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"similiarity = 19.24 %\n",
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"--------\n",
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"potassium</w>\n",
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"similiarity = 19.21 %\n",
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"--------\n",
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"sausage</w>\n",
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"similiarity = 19.07 %\n",
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"--------\n",
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"lemon</w>\n",
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"similiarity = 18.82 %\n",
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"--------\n",
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"orange</w>\n",
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"similiarity = 18.42 %\n",
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"--------\n",
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"peanut</w>\n",
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"similiarity = 17.84 %\n",
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"--------\n",
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"parachute</w>\n",
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"similiarity = 17.19 %\n",
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"--------\n",
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"duck\n",
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"similiarity = 16.8 %\n",
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"--------\n",
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"yellow</w>\n",
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"similiarity = 16.21 %\n",
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"--------\n",
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"grape</w>\n",
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"similiarity = 16.19 %\n",
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"--------\n",
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"kangaroo</w>\n",
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"similiarity = 16.13 %\n",
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"--------\n",
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"apple</w>\n",
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"similiarity = 16.13 %\n",
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"--------\n",
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"tangerine</w>\n",
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"similiarity = 16.08 %\n",
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"--------\n",
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"giraffe</w>\n",
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"similiarity = 16.04 %\n",
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"--------\n",
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"mango</w>\n",
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"similiarity = 16.03 %\n",
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"--------\n",
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"rubber</w>\n",
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"similiarity = 15.95 %\n",
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"--------\n",
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"bamboo</w>\n",
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"similiarity = 15.88 %\n",
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"--------\n",
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"umbrella</w>\n",
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"similiarity = 15.82 %\n",
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"--------\n",
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"nutella</w>\n",
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"similiarity = 15.69 %\n",
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"--------\n",
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"ferrari</w>\n",
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"similiarity = 15.69 %\n",
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"--------\n",
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"oranges</w>\n",
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"similiarity = 15.65 %\n",
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"--------\n",
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"peanuts</w>\n",
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"similiarity = 15.62 %\n",
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"--------\n",
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"ali</w>\n",
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"similiarity = 15.49 %\n",
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"--------\n",
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"cucumber</w>\n",
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"similiarity = 15.32 %\n",
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"--------\n",
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"potato</w>\n",
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"similiarity = 15.22 %\n",
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"--------\n",
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"monkey</w>\n",
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"similiarity = 15.2 %\n",
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"--------\n",
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"croissant</w>\n",
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"similiarity = 15.18 %\n",
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"--------\n",
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"papaya</w>\n",
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"similiarity = 15.17 %\n",
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"--------\n",
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"christmas</w>\n",
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"similiarity = 15.12 %\n",
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"--------\n",
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"sandwich</w>\n",
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"similiarity = 15.0 %\n",
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"--------\n",
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"rainbow</w>\n",
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"similiarity = 14.98 %\n",
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| 447 |
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"--------\n",
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"tomato</w>\n",
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| 449 |
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"similiarity = 14.96 %\n",
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| 450 |
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"--------\n",
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"martini</w>\n",
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| 452 |
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"similiarity = 14.93 %\n",
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| 453 |
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"--------\n",
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| 454 |
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"cabaret</w>\n",
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| 455 |
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"similiarity = 14.83 %\n",
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| 456 |
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"--------\n",
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| 457 |
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"ginger</w>\n",
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"similiarity = 14.82 %\n",
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"--------\n",
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| 460 |
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"animal</w>\n",
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| 461 |
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"similiarity = 14.76 %\n",
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| 462 |
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"--------\n",
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| 463 |
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"vanilla</w>\n",
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| 464 |
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"similiarity = 14.73 %\n",
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| 465 |
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"--------\n",
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"mustache</w>\n",
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| 467 |
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"similiarity = 14.64 %\n",
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| 468 |
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"--------\n",
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| 469 |
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"lime</w>\n",
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| 470 |
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"similiarity = 14.62 %\n",
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| 471 |
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"--------\n",
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| 472 |
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"sickle</w>\n",
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| 473 |
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"similiarity = 14.6 %\n",
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| 474 |
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"--------\n",
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| 475 |
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"vista</w>\n",
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| 476 |
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"similiarity = 14.53 %\n",
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| 477 |
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"--------\n",
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| 478 |
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"coconut</w>\n",
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| 479 |
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"similiarity = 14.52 %\n",
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| 480 |
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"--------\n",
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| 481 |
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"kara</w>\n",
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| 482 |
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"similiarity = 14.46 %\n",
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| 483 |
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"--------\n",
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| 484 |
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"alligator</w>\n",
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| 485 |
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"similiarity = 14.39 %\n",
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| 486 |
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"--------\n",
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| 487 |
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"blueberry</w>\n",
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| 488 |
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"similiarity = 14.34 %\n",
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| 489 |
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"--------\n",
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| 490 |
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"squirrel</w>\n",
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| 491 |
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"similiarity = 14.29 %\n",
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| 492 |
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"--------\n",
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| 493 |
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"atore</w>\n",
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| 494 |
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"similiarity = 14.19 %\n",
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| 495 |
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"--------\n",
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| 496 |
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"watermelon</w>\n",
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| 497 |
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"similiarity = 14.13 %\n",
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| 498 |
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"--------\n",
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"nana</w>\n",
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| 500 |
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"similiarity = 14.09 %\n",
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| 501 |
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"--------\n",
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| 502 |
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"latex</w>\n",
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| 503 |
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"similiarity = 14.08 %\n",
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| 504 |
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"--------\n",
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"agricultural</w>\n",
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| 506 |
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"similiarity = 14.02 %\n",
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| 507 |
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"--------\n",
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| 508 |
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"zucchini</w>\n",
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| 509 |
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"similiarity = 14.0 %\n",
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| 510 |
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"--------\n",
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| 511 |
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"saxophone</w>\n",
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| 512 |
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"similiarity = 13.93 %\n",
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| 513 |
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"--------\n",
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| 514 |
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"mozzarella</w>\n",
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| 515 |
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"similiarity = 13.91 %\n",
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| 516 |
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"--------\n",
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| 517 |
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"eggplant</w>\n",
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| 518 |
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"similiarity = 13.9 %\n",
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| 519 |
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"--------\n",
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"pickle</w>\n",
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| 521 |
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"similiarity = 13.89 %\n",
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| 522 |
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"--------\n",
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| 523 |
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"tortilla</w>\n",
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| 524 |
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"similiarity = 13.88 %\n",
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| 525 |
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"--------\n",
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| 526 |
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"maniac</w>\n",
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| 527 |
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"similiarity = 13.84 %\n",
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| 528 |
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"--------\n",
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| 529 |
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"milk</w>\n",
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| 530 |
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"similiarity = 13.83 %\n",
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| 531 |
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"--------\n",
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| 532 |
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"cellphone</w>\n",
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| 533 |
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"similiarity = 13.78 %\n",
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| 534 |
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"--------\n",
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| 535 |
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"duck</w>\n",
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| 536 |
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"similiarity = 13.73 %\n",
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| 537 |
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"--------\n",
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| 538 |
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"umbrel\n",
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| 539 |
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"similiarity = 13.71 %\n",
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| 540 |
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"--------\n",
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| 541 |
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"fanny</w>\n",
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| 542 |
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"similiarity = 13.69 %\n",
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| 543 |
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"--------\n",
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| 544 |
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"twister</w>\n",
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| 545 |
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"similiarity = 13.67 %\n",
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| 546 |
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"--------\n",
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| 547 |
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"moustache</w>\n",
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| 548 |
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"similiarity = 13.66 %\n",
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| 549 |
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"--------\n",
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| 550 |
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"manafort</w>\n",
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| 551 |
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"similiarity = 13.66 %\n",
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| 552 |
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"--------\n",
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| 553 |
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"grapefruit</w>\n",
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| 554 |
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"similiarity = 13.6 %\n",
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| 555 |
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"--------\n",
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| 556 |
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"broom</w>\n",
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| 557 |
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"similiarity = 13.59 %\n",
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| 558 |
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"--------\n",
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| 559 |
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"scorpion</w>\n",
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| 560 |
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"similiarity = 13.59 %\n",
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| 561 |
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"--------\n",
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| 562 |
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"fruit\n",
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| 563 |
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"similiarity = 13.57 %\n",
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| 564 |
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"--------\n",
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| 565 |
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"agan\n",
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| 566 |
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"similiarity = 13.53 %\n",
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| 567 |
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"--------\n",
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| 568 |
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"sunflower</w>\n",
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| 569 |
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"similiarity = 13.49 %\n",
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| 570 |
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"--------\n",
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| 571 |
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"banc\n",
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| 572 |
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"similiarity = 13.46 %\n",
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| 573 |
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"--------\n",
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| 574 |
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"literature</w>\n",
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| 575 |
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"similiarity = 13.45 %\n",
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| 576 |
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"--------\n",
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| 577 |
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"pelican</w>\n",
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| 578 |
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"similiarity = 13.43 %\n",
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| 579 |
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"--------\n",
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| 580 |
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"breakfast</w>\n",
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| 581 |
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"similiarity = 13.42 %\n",
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| 582 |
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"--------\n",
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| 583 |
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"pear</w>\n",
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| 584 |
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"similiarity = 13.42 %\n",
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| 585 |
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"--------\n",
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| 586 |
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"orange\n",
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| 587 |
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"similiarity = 13.4 %\n",
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| 588 |
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"--------\n",
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| 589 |
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"monet</w>\n",
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| 590 |
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"similiarity = 13.4 %\n",
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| 591 |
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"--------\n",
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| 592 |
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"snake</w>\n",
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| 593 |
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"similiarity = 13.32 %\n",
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| 594 |
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"--------\n",
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| 595 |
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"vampire</w>\n",
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| 596 |
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"similiarity = 13.32 %\n",
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| 597 |
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"--------\n",
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| 598 |
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"cinnamon</w>\n",
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| 599 |
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"similiarity = 13.3 %\n",
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| 600 |
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"--------\n",
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| 601 |
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"strawberries</w>\n",
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| 602 |
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"similiarity = 13.29 %\n",
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| 603 |
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"--------\n",
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| 604 |
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"butternut</w>\n",
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| 605 |
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"similiarity = 13.22 %\n",
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| 606 |
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"--------\n",
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| 607 |
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"sausages</w>\n",
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| 608 |
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"similiarity = 13.22 %\n",
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| 609 |
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"--------\n",
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| 610 |
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"iphone</w>\n",
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| 611 |
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"similiarity = 13.21 %\n",
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| 612 |
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"--------\n",
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| 613 |
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"egg\n",
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| 614 |
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"similiarity = 13.2 %\n",
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| 615 |
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"--------\n",
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| 616 |
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"capu\n",
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| 617 |
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"similiarity = 13.2 %\n",
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| 618 |
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"--------\n",
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| 619 |
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"mannequin</w>\n",
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| 620 |
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"similiarity = 13.19 %\n",
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| 621 |
-
"--------\n",
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| 622 |
-
"cucumbers</w>\n",
|
| 623 |
-
"similiarity = 13.16 %\n",
|
| 624 |
-
"--------\n",
|
| 625 |
-
"champagne</w>\n",
|
| 626 |
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"similiarity = 13.15 %\n",
|
| 627 |
-
"--------\n",
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| 628 |
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"triangle</w>\n",
|
| 629 |
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"similiarity = 13.14 %\n",
|
| 630 |
-
"--------\n",
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| 631 |
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"apples</w>\n",
|
| 632 |
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"similiarity = 13.09 %\n",
|
| 633 |
-
"--------\n",
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| 634 |
-
"dynamite</w>\n",
|
| 635 |
-
"similiarity = 13.08 %\n",
|
| 636 |
-
"--------\n",
|
| 637 |
-
"chocolate</w>\n",
|
| 638 |
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"similiarity = 13.08 %\n",
|
| 639 |
-
"--------\n"
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| 640 |
-
]
|
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-
}
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},
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"cell_type": "code",
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@@ -657,22 +303,10 @@
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],
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"metadata": {
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"id": "MwmOdC9cNZty",
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"collapsed": true
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "0dd984d0-e253-4981-d72f-40aa83d57d8b"
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"execution_count":
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"outputs": [
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"name": "stdout",
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"text": [
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"The similarity between tokens A and B is 3.671 %\n"
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"cell_type": "code",
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],
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"metadata": {
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"id": "QQOjh5BvnG8M",
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"colab": {
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"base_uri": "https://localhost:8080/"
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"outputId": "8bd6eb94-c5a7-47e6-913b-346941b144a6"
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"execution_count":
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"output_type": "stream",
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"name": "stdout",
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"text": [
|
| 724 |
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"The similarity between the text_encoding for A:\"one ripe banana\" and B: \"a long yellow fruit\" is 83.696 %\n"
|
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]
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}
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},
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"cell_type": "markdown",
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],
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"metadata": {
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"id": "Ch9puvwKH1s3",
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"outputId": "86f2f01e-6a04-4292-cee7-70fd8398e07f"
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"metadata": {
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"id": "YqdiF8DIz9Wu"
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"metadata": {
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},
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{
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"cell_type": "code",
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],
|
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"metadata": {
|
| 305 |
"id": "MwmOdC9cNZty",
|
| 306 |
+
"collapsed": true
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},
|
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+
"execution_count": null,
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"outputs": []
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{
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"cell_type": "code",
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],
|
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"metadata": {
|
| 345 |
"id": "QQOjh5BvnG8M",
|
| 346 |
+
"collapsed": true
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},
|
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
|