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Browse files- meta_llama_llama_2_7b_chat_hf/h32/gsm8k/test.jsonl +0 -0
- meta_llama_llama_2_7b_chat_hf/h32/gsm8k/test.pt +1 -1
- meta_llama_llama_2_7b_chat_hf/h32/gsm8k/train.jsonl +0 -0
- meta_llama_llama_2_7b_chat_hf/h32/gsm8k/train.pt +1 -1
- meta_llama_llama_2_7b_chat_hf/h32/newline/test.jsonl +32 -32
- meta_llama_llama_2_7b_chat_hf/h32/newline/test.pt +1 -1
- meta_llama_llama_2_7b_chat_hf/h32/newline/train.jsonl +0 -0
- meta_llama_llama_2_7b_chat_hf/h32/newline/train.pt +1 -1
- meta_llama_llama_2_7b_chat_hf/h32/poem/test.jsonl +32 -32
- meta_llama_llama_2_7b_chat_hf/h32/poem/test.pt +1 -1
- meta_llama_llama_2_7b_chat_hf/h32/poem/train.jsonl +0 -0
- meta_llama_llama_2_7b_chat_hf/h32/poem/train.pt +1 -1
- meta_llama_llama_2_7b_chat_hf/h32/sharegpt/test.jsonl +32 -32
- meta_llama_llama_2_7b_chat_hf/h32/sharegpt/test.pt +1 -1
- meta_llama_llama_2_7b_chat_hf/h32/sharegpt/train.jsonl +0 -0
- meta_llama_llama_2_7b_chat_hf/h32/sharegpt/train.pt +1 -1
- meta_llama_llama_2_7b_chat_hf/h32/space/test.jsonl +32 -32
- meta_llama_llama_2_7b_chat_hf/h32/space/test.pt +1 -1
- meta_llama_llama_2_7b_chat_hf/h32/space/train.jsonl +0 -0
- meta_llama_llama_2_7b_chat_hf/h32/space/train.pt +1 -1
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{"id": 1, "x": [1, 29871, 13], "x_decoded": "\n", "y": [13, 2277, 29937, 5293, 263, 29871, 29941, 5499, 6263, 3489, 13, 13, 3644, 366, 864, 304, 671, 263, 29871, 29941, 5499, 6263, 3489, 29892, 366, 508, 2601, 372, 773, 12480, 491, 2734], "y_decoded": "\n### Using a 3rd party library\n\nIf you want to use a 3rd party library, you can install it using npm by running", "py|x": 1.5728183458321027e-13}
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{"id": 3, "x": [1, 29871, 13], "x_decoded": "\n", "y": [9166, 9166, 9166, 9166, 2751, 13, 13, 4013, 338, 263, 2560, 10754, 373, 920, 304, 1653, 263, 9150, 476, 860, 303, 4254, 11531, 29889, 13, 13, 29896, 29889, 22402, 3575, 2921, 1338], "y_decoded": "====================================================================\n\nThis is a simple guide on how to create a successful Kickstarter campaign.\n\n1. Define Your Goals", "py|x": 2.3159972203923296e-11}
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{"id": 19, "x": [1, 29871, 13], "x_decoded": "\n", "y": [13, 5215, 9537, 515, 525, 8423, 2670, 13, 5215, 426, 671, 2792, 500, 515, 525, 8423, 2670, 13, 5215, 426, 671, 20570, 500, 515, 525, 8423, 29899, 15140, 29899, 3129, 2670, 13], "y_decoded": "\nimport React from 'react';\nimport { useState } from 'react';\nimport { useHistory } from 'react-router-dom';\n", "py|x": 2.505774136807304e-05}
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{"id": 20, "x": [1, 29871, 13], "x_decoded": "\n", "y": [13, 5215, 9537, 515, 525, 8423, 2670, 13, 5215, 4853, 2363, 515, 525, 1165, 2363, 2670, 13, 5215, 426, 6645, 500, 515, 525, 8423, 29899, 15140, 29899, 3129, 2670, 13, 13, 1990], "y_decoded": "\nimport React from 'react';\nimport axios from 'axios';\nimport { Link } from 'react-router-dom';\n\nclass", "py|x": 2.5712561182444915e-05}
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{"id": 23, "x": [1, 29871, 13], "x_decoded": "\n", "y": [13, 29937, 2856, 529, 23811, 29958, 13, 29937, 2856, 529, 8111, 29958, 13, 13, 4746, 7397, 3659, 29936, 13, 13, 524, 1667, 580, 426, 13, 1678, 938, 302, 29936, 13, 1678, 4670], "y_decoded": "\n#include <iostream>\n#include <vector>\n\nusing namespace std;\n\nint main() {\n int n;\n cin", "py|x": 0.0008694190182723105}
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{"id": 24, "x": [1, 29871, 13], "x_decoded": "\n", "y": [13, 1990, 24380, 426, 13, 3597, 29901, 13, 1678, 938, 1284, 7976, 12539, 29990, 29898, 8111, 29966, 8111, 29966, 524, 6778, 29987, 4636, 29897, 426, 13, 4706, 938, 286, 353, 4636, 29889], "y_decoded": "\nclass Solution {\npublic:\n int findMaximumX(vector<vector<int>>& matrix) {\n int m = matrix.", "py|x": 0.00014407913840841502}
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{"id": 25, "x": [1, 29871, 13], "x_decoded": "\n", "y": [13, 13, 5215, 10606, 13, 13, 1990, 8448, 23472, 29901, 3865, 23472, 426, 13, 1678, 849, 2023, 13, 1678, 849, 2023, 13, 29913, 13, 13, 1990, 8448, 23472, 2956, 29901, 3865, 2061], "y_decoded": "\n\nimport Foundation\n\nclass GameScene: NSScene {\n // ...\n // ...\n}\n\nclass GameSceneController: NSObject", "py|x": 4.941876443655124e-13}
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{"id": 26, "x": [1, 29871, 13], "x_decoded": "\n", "y": [13, 1753, 1284, 29918, 497, 29918, 262, 29918, 1761, 29898, 26180, 280, 29892, 14842, 1429, 1125, 13, 1678, 363, 1543, 297, 14842, 1429, 29901, 13, 4706, 565, 1543, 1275, 817, 280, 29901], "y_decoded": "\ndef find_all_in_list(needle, haystack):\n for element in haystack:\n if element == needle:", "py|x": 1.626438705937261e-10}
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{"id": 27, "x": [1, 29871, 13], "x_decoded": "\n", "y": [1678, 849, 29871, 3462, 278, 1494, 1196, 310, 775, 1156, 278, 1196, 393, 2847, 7093, 278, 421, 11802, 29952, 1203, 13, 1678, 3748, 29889, 1202, 29898, 1482, 4250, 303, 6436, 29898, 11802], "y_decoded": " // Add the following line of code after the line that initializes the `game` object\n game.add(new Obstacle(game", "py|x": 3.654423148484254e-18}
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meta_llama_llama_2_7b_chat_hf/h32/newline/train.pt
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CHANGED
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{"id": 0, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [
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{"id": 30, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [
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{"id": 31, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [
|
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|
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{"id": 0, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 1576, 6635, 3708, 1127, 2793, 23244, 373, 590, 23012, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\nThe cat purred contentedly on my lap.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
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{"id": 1, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 29902, 626, 541, 263, 9850, 261, 29892, 13, 29911, 1092, 820, 445, 13426, 322, 281, 898, 29878, 681, 2982, 29889, 13, 29956, 392, 3241, 29892, 5714, 322, 3889, 29889, 2, 0], "y_decoded": "\nI am but a traveler,\nThrough this vast and wondrous land.\nWandering, lost and free.</s><unk>", "py|x": 3.1378429622830234e-19}
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{"id": 2, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 6113, 263, 3273, 29871, 29896, 29900, 29899, 1742, 26576, 393, 4332, 1973, 278, 3686, 663, 310, 263, 3256, 297, 931, 29889, 13, 10605, 338, 263, 3273, 29871, 29896, 29900, 29899, 1742], "y_decoded": "\nWrite a short 10-word poem that captures the essence of a moment in time.\nHere is a short 10-word", "py|x": 3.5883585951523855e-06}
|
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{"id": 3, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 1576, 6635, 282, 1038, 29879, 2793, 23244, 373, 590, 23012, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nThe cat purrs contentedly on my lap.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
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{"id": 4, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 1576, 6635, 3708, 1127, 2793, 23244, 373, 590, 23012, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nThe cat purred contentedly on my lap.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 6 |
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{"id": 5, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 10605, 338, 263, 3273, 29871, 29896, 29900, 29899, 1742, 26576, 306, 2996, 701, 411, 29901, 13, 13, 29903, 348, 842, 29915, 29879, 21334, 29891, 298, 434, 285, 3076, 304, 4646], "y_decoded": "\n\nHere is a short 10-word poem I came up with:\n\nSunset's fiery hue fades to night", "py|x": 1.7908564586832654e-07}
|
| 7 |
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{"id": 6, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 29931, 520, 297, 2714, 29892, 306, 281, 3825, 3889, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nLost in thought, I wander free.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 8 |
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{"id": 7, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 1576, 6575, 6166, 14205, 297, 278, 14744, 29889, 13, 13, 5618, 338, 278, 11564, 310, 376, 28544, 368, 8652, 13, 13, 5618, 338, 278, 11564, 310, 376, 7912, 8652, 13], "y_decoded": "\n\nThe sun sets slowly in the sky.\n\nWhat is the opposite of \"slowly\"?\n\nWhat is the opposite of \"sky\"?\n", "py|x": 2.6844624301247677e-09}
|
| 9 |
+
{"id": 8, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 1576, 6635, 3708, 1127, 2793, 23244, 373, 590, 23012, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\nThe cat purred contentedly on my lap.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 10 |
+
{"id": 9, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 29909, 9914, 289, 929, 911, 10767, 29893, 1549, 278, 10697, 29892, 13, 855, 381, 5393, 278, 11308, 322, 577, 6046, 278, 10752, 29889, 2, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\nA gentle breeze blew through the trees,\nStirring the leaves and soothing the soul.</s><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 11 |
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{"id": 10, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 29903, 348, 6166, 14205, 297, 14744, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nSun sets slowly in sky.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 12 |
+
{"id": 11, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 29909, 9914, 289, 929, 911, 380, 12935, 278, 10697, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nA gentle breeze stirs the trees.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 13 |
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{"id": 12, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 1576, 6635, 3708, 1127, 2793, 23244, 373, 590, 23012, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nThe cat purred contentedly on my lap.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 14 |
+
{"id": 13, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 6113, 263, 3273, 29871, 29896, 29900, 29899, 1742, 26576, 393, 4332, 1973, 278, 3686, 663, 310, 263, 3153, 2058, 470, 3256, 297, 931, 29889, 13, 13, 2831, 1342, 29892, 376, 29903], "y_decoded": "\nWrite a short 10-word poem that captures the essence of a particular place or moment in time.\n\nFor example, \"S", "py|x": 1.8589625838671964e-08}
|
| 15 |
+
{"id": 14, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 6113, 263, 3273, 29871, 29896, 29900, 1734, 26576, 1048, 263, 6575, 842, 29889, 13, 1576, 14744, 338, 23139, 2654, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\nWrite a short 10 word poem about a sunset.\nThe sky is painted red.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 16 |
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{"id": 15, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [2266, 526, 3006, 3838, 304, 6755, 515, 29901, 13, 13, 29896, 29889, 8991, 842, 13, 29906, 29889, 17594, 13, 29941, 29889, 21091, 13, 29946, 29889, 399, 5989, 13, 29945, 29889, 8564, 13], "y_decoded": "Here are ten words to choose from:\n\n1. Sunset\n2. Beach\n3. Ocean\n4. Waves\n5. Sand\n", "py|x": 2.9735060707025696e-06}
|
| 17 |
+
{"id": 16, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [2266, 526, 278, 6865, 29901, 13, 29896, 29889, 450, 26576, 1818, 367, 3721, 29871, 29896, 29900, 3838, 1472, 29889, 13, 29906, 29889, 739, 1818, 367, 3971, 297, 278, 2198, 260, 1947, 29889], "y_decoded": "Here are the rules:\n1. The poem must be exactly 10 words long.\n2. It must be written in the present tense.", "py|x": 4.403604179969989e-05}
|
| 18 |
+
{"id": 17, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 29909, 2319, 11199, 639, 26902, 373, 263, 3252, 335, 29892, 13, 29903, 574, 263, 9232, 1486, 577, 8296, 322, 11785, 29889, 13, 29902, 1372, 4823, 10423, 278, 7250, 4799, 29892], "y_decoded": "\n\nA small bird perched on a twig,\nSang a melody so pure and bright.\nIts song filled the morning air,", "py|x": 1.918581959969856e-09}
|
| 19 |
+
{"id": 18, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 10605, 338, 263, 3273, 29871, 29896, 29900, 1734, 26576, 306, 2996, 701, 411, 29901, 13, 13, 29903, 348, 6166, 14205, 297, 14744, 2, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nHere is a short 10 word poem I came up with:\n\nSun sets slowly in sky</s><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 20 |
+
{"id": 19, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 29902, 5360, 304, 17948, 297, 278, 17251, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\nI love to dance in the rain.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 21 |
+
{"id": 20, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 29908, 1576, 6635, 3708, 1127, 2793, 23244, 373, 590, 23012, 29908, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\n\"The cat purred contentedly on my lap\"</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 22 |
+
{"id": 21, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 1576, 6635, 3708, 1127, 297, 590, 23012, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nThe cat purred in my lap.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 23 |
+
{"id": 22, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 1576, 6635, 3708, 1127, 2793, 23244, 373, 590, 23012, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nThe cat purred contentedly on my lap.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 24 |
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{"id": 23, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 1576, 6575, 6166, 14205, 297, 278, 14744, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nThe sun sets slowly in the sky.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
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| 25 |
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{"id": 24, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 10605, 338, 263, 3273, 29871, 29896, 29900, 1734, 26576, 306, 2996, 701, 411, 29901, 13, 13, 29903, 348, 6166, 14205, 297, 14744, 13, 29954, 1025, 264, 298, 1041, 17948, 491], "y_decoded": "\n\nHere is a short 10 word poem I came up with:\n\nSun sets slowly in sky\nGolden hues dance by", "py|x": 2.2446301954914816e-06}
|
| 26 |
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{"id": 25, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 3226, 5989, 21580, 280, 297, 278, 289, 929, 911, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nLeaves rustle in the breeze.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
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| 27 |
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{"id": 26, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 1576, 6635, 3708, 1127, 297, 590, 23012, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\nThe cat purred in my lap.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 28 |
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{"id": 27, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 29909, 11199, 269, 886, 14225, 9232, 1486, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\nA bird sings sweet melody.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 29 |
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{"id": 28, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 6113, 263, 3273, 29871, 29896, 29900, 29899, 1742, 26576, 393, 16612, 263, 3153, 2058, 470, 9088, 29889, 13, 10605, 338, 263, 3273, 29871, 29896, 29900, 29899, 1742, 26576, 393, 16612, 263], "y_decoded": "\nWrite a short 10-word poem that describes a particular place or scene.\nHere is a short 10-word poem that describes a", "py|x": 2.6010368969764386e-08}
|
| 30 |
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{"id": 29, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 29902, 626, 263, 2319, 11199, 29892, 13, 3047, 1238, 19467, 11785, 322, 14288, 29889, 13, 29902, 1809, 590, 4823, 29892, 13, 797, 278, 7250, 3578, 29892, 13, 2855, 577, 279, 701], "y_decoded": "\nI am a small bird,\nWith feathers bright and bold.\nI sing my song,\nIn the morning light,\nAnd soar up", "py|x": 2.369374141331093e-10}
|
| 31 |
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{"id": 30, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 13, 1576, 6575, 6166, 14205, 297, 278, 14744, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\nThe sun sets slowly in the sky.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 32 |
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{"id": 31, "x": [1, 14350, 263, 3273, 29871, 29896, 29900, 1734, 26576, 29889], "x_decoded": "Write a short 10 word poem.", "y": [13, 1576, 6575, 6166, 14205, 297, 278, 14744, 29889, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\nThe sun sets slowly in the sky.</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
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|
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{"id": 0, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 29909, 11962, 10768, 338, 1532, 29899, 28192, 287, 746, 372, 28103, 278, 1494, 16614, 29901, 13, 29896, 29889, 15089, 16603, 537, 29901, 450, 20330, 2629, 263, 10768, 526, 2788, 297, 4958], "y_decoded": "\nA customer segment is well-segmented when it meets the following criteria:\n1. Homogeneity: The customers within a segment are similar in terms", "py|x": 2.60246561083477e-05}
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{"id": 1, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 11284, 29899, 28192, 287, 11962, 24611, 505, 278, 1494, 21862, 29901, 13, 29896, 29889, 5057, 368, 3632, 23724, 29901, 8701, 414, 2629, 278, 1021, 10768, 505, 2788, 4225, 29892, 5821, 2063], "y_decoded": "\nWell-segmented customer segments have the following characteristics:\n1. Highly homogeneous: Customers within the same segment have similar needs, preferences", "py|x": 2.463449710887744e-08}
|
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{"id": 2, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 29909, 11962, 10768, 338, 5545, 1532, 29899, 28192, 287, 746, 372, 28103, 278, 1494, 16614, 29901, 13, 13, 29896, 29889, 17732, 322, 8359, 24371, 29901, 450, 10768, 24371, 526, 2821, 322], "y_decoded": "\nA customer segment is considered well-segmented when it meets the following criteria:\n\n1. Clear and distinct boundaries: The segment boundaries are clear and", "py|x": 9.74626345850993e-06}
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| 4 |
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{"id": 3, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 6747, 287, 373, 4779, 29871, 29906, 29906, 29892, 29871, 29906, 29900, 29896, 29929, 491, 2819, 457, 8564, 10611, 12, 262, 21886, 6667, 358, 362, 322, 4055, 3192, 21886, 6667, 358, 362], "y_decoded": "\nPosted on March 22, 2019 by Christine Sandoval\tin Customer Segmentation and tagged Customer Segmentation", "py|x": 3.425929262501626e-10}
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| 5 |
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{"id": 4, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 6747, 287, 373, 5468, 29871, 29896, 29955, 29892, 29871, 29906, 29900, 29896, 29947, 491, 5765, 379, 547, 1050, 13, 10605, 526, 29871, 29941, 1820, 4221, 4097, 393, 263, 11962, 10768, 338], "y_decoded": "\nPosted on July 17, 2018 by Michael Hackmer\nHere are 3 key indicators that a customer segment is", "py|x": 8.650372085305946e-11}
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| 6 |
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{"id": 5, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 29909, 1532, 29899, 28192, 287, 11962, 10768, 338, 697, 393, 338, 6593, 1319, 29892, 7540, 21115, 29892, 322, 3158, 519, 29889, 2266, 526, 2211, 18906, 393, 263, 11962, 10768, 338, 1532], "y_decoded": "\nA well-segmented customer segment is one that is meaningful, measurable, and actionable. Here are three signs that a customer segment is well", "py|x": 6.0886006394866854e-05}
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| 7 |
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{"id": 6, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 1576, 2211, 1556, 4100, 13879, 297, 3683, 2827, 3692, 263, 11962, 10768, 338, 1532, 29899, 28192, 287, 526, 29901, 13, 29896, 29889, 15089, 16603, 537, 29901, 450, 10768, 881, 367, 3632], "y_decoded": "\nThe three most important factors in determining whether a customer segment is well-segmented are:\n1. Homogeneity: The segment should be hom", "py|x": 2.4098486761658933e-08}
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| 8 |
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{"id": 7, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 6747, 287, 373, 3111, 29871, 29906, 29955, 29892, 29871, 29906, 29900, 29906, 29900, 491, 12546, 713, 21099, 29874, 448, 3630, 29899, 29928, 374, 854, 4485, 15133, 13, 15122, 10768, 362, 338], "y_decoded": "\nPosted on August 27, 2020 by Cristian Preda - Data-Driven Marketing\nCustomer segmentation is", "py|x": 2.057040510150543e-10}
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| 9 |
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{"id": 8, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 6747, 287, 373, 5306, 29871, 29896, 29900, 29892, 29871, 29906, 29900, 29896, 29929, 491, 11566, 3068, 891, 29871, 29896, 3440, 13, 1762, 8161, 565, 263, 11962, 10768, 338, 1532, 29899, 28192], "y_decoded": "\nPosted on June 10, 2019 by Duncan | 1 comment\nTo determine if a customer segment is well-segment", "py|x": 2.7305530059251737e-10}
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| 10 |
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{"id": 9, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 8809, 1979, 366, 526, 7512, 292, 11962, 10768, 362, 363, 278, 937, 931, 470, 2143, 2827, 385, 5923, 10768, 362, 13705, 29892, 372, 338, 18853, 304, 24809, 278, 2779, 20193, 310], "y_decoded": "\nWhether you are conducting customer segmentation for the first time or refining an existing segmentation strategy, it is essential to assess the effectiveness of", "py|x": 1.3897894746150996e-07}
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{"id": 11, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 10401, 263, 11962, 10768, 338, 1532, 29899, 28192, 287, 29892, 372, 2794, 393, 278, 10768, 362, 756, 1063, 2309, 297, 263, 982, 393, 7913, 2486, 9432, 29879, 278, 5412, 21862, 322], "y_decoded": "\nWhen a customer segment is well-segmented, it means that the segmentation has been done in a way that accurately reflects the unique characteristics and", "py|x": 7.308612839551643e-05}
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{"id": 12, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 17669, 358, 292, 596, 11962, 2967, 508, 1371, 366, 12464, 272, 596, 9999, 292, 322, 16538, 16650, 583, 304, 2702, 6471, 29892, 10231, 596, 521, 2925, 310, 2551, 29889, 2398, 29892], "y_decoded": "\nSegmenting your customer base can help you tailor your marketing and sales strategies to specific groups, increasing your chances of success. However,", "py|x": 8.916610028109062e-08}
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| 14 |
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{"id": 13, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 29909, 1532, 29899, 28192, 287, 11962, 10768, 338, 697, 393, 338, 3632, 23724, 2629, 322, 25745, 23724, 1546, 6471, 29889, 2266, 526, 2211, 4221, 4097, 393, 263, 11962, 10768, 338, 1532], "y_decoded": "\nA well-segmented customer segment is one that is homogeneous within and heterogeneous between groups. Here are three indicators that a customer segment is well", "py|x": 4.214991349726915e-06}
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| 15 |
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{"id": 14, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 3492, 30010, 345, 10398, 6199, 1671, 292, 975, 11962, 848, 29892, 1811, 304, 12439, 278, 4922, 11962, 10768, 29889, 1205, 920, 437, 366, 1073, 565, 596, 10768, 362, 338, 373, 1298], "y_decoded": "\nYou\u2019ve spent hours pouring over customer data, trying to identify the perfect customer segment. But how do you know if your segmentation is on point", "py|x": 1.3976125501358183e-07}
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{"id": 15, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 15122, 10768, 362, 338, 263, 7618, 1455, 9565, 310, 738, 5381, 13705, 29889, 739, 6911, 14582, 12464, 272, 1009, 9999, 292, 14231, 29892, 3234, 5849, 29892, 322, 11962, 2669, 304, 2702], "y_decoded": "\nCustomer segmentation is a crucial aspect of any business strategy. It helps companies tailor their marketing efforts, product development, and customer service to specific", "py|x": 1.8195888742411626e-06}
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{"id": 16, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 1576, 1494, 526, 2211, 1820, 4221, 4097, 393, 263, 11962, 10768, 362, 338, 1532, 29899, 28192, 287, 29901, 13, 13, 29896, 29889, 2138, 391, 3819, 29901, 319, 1532, 29899, 28192, 287], "y_decoded": "\nThe following are three key indicators that a customer segmentation is well-segmented:\n\n1. Consistency: A well-segmented", "py|x": 1.6272474567813333e-07}
|
| 18 |
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{"id": 17, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 5328, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 2266, 526, 2211, 1820, 4221, 4097, 29901, 13, 29896, 29889, 3579, 1123, 2608, 749, 1068, 29901, 319, 1532, 29899], "y_decoded": "\nHow to tell if a customer segment is well segmented? Here are three key indicators:\n1. **Relevance**: A well-", "py|x": 8.01155183580704e-05}
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| 19 |
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{"id": 18, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 3112, 508, 367, 18066, 292, 304, 8161, 565, 263, 11962, 10768, 338, 1532, 29899, 28192, 287, 29892, 541, 1244, 526, 2211, 1820, 4221, 4097, 304, 1371, 366, 1207, 393, 24809, 358], "y_decoded": "\nIt can be challenging to determine if a customer segment is well-segmented, but here are three key indicators to help you make that assessment", "py|x": 4.8735004384070635e-05}
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| 20 |
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{"id": 19, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 6747, 287, 373, 4779, 29871, 29906, 29955, 29892, 29871, 29906, 29900, 29896, 29947, 491, 4699, 341, 29889, 13693, 13, 3112, 508, 367, 18066, 292, 304, 8161, 565, 263, 11962, 10768, 338], "y_decoded": "\nPosted on March 27, 2018 by David M. Ross\nIt can be challenging to determine if a customer segment is", "py|x": 2.7302610172696973e-10}
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| 21 |
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{"id": 20, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 5328, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 13, 29896, 29889, 450, 10768, 362, 338, 2729, 373, 6593, 1319, 322, 8018, 13879, 29901, 319, 1532, 29899, 28192], "y_decoded": "\nHow to tell if a customer segment is well segmented?\n1. The segmentation is based on meaningful and relevant factors: A well-segment", "py|x": 4.090122729394352e-06}
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| 22 |
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{"id": 21, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 6747, 287, 373, 3839, 29871, 29896, 29941, 29892, 29871, 29906, 29900, 29896, 29929, 491, 5765, 1102, 3768, 261, 13, 2887, 263, 2791, 1308, 29892, 366, 1122, 367, 9873, 920, 304, 2649], "y_decoded": "\nPosted on September 13, 2019 by Michael Schiemer\nAs a marketer, you may be wondering how to tell", "py|x": 3.149560820481234e-11}
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{"id": 22, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 15122, 10768, 362, 338, 263, 7618, 1455, 9565, 310, 738, 5381, 13705, 29889, 739, 6911, 14582, 2274, 1009, 20330, 2253, 29892, 12464, 272, 1009, 9999, 292, 14231, 29892, 322, 18973, 7899], "y_decoded": "\nCustomer segmentation is a crucial aspect of any business strategy. It helps companies understand their customers better, tailor their marketing efforts, and ultimately drive", "py|x": 2.396288209638442e-06}
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{"id": 23, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 29909, 11962, 10768, 338, 1532, 29899, 28192, 287, 746, 372, 338, 29901, 13, 29896, 29889, 360, 8349, 7268, 630, 29901, 450, 10768, 338, 1754, 701, 310, 20330, 1058, 6232, 2788, 21862], "y_decoded": "\nA customer segment is well-segmented when it is:\n1. Differentiated: The segment is made up of customers who share similar characteristics", "py|x": 2.581794547040772e-07}
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{"id": 25, "x": [1, 1128, 304, 2649, 565, 263, 11962, 10768, 338, 1532, 10768, 287, 29973, 512, 29871, 29941, 24334, 3291, 29889], "x_decoded": "How to tell if a customer segment is well segmented? In 3 bullet points.", "y": [13, 3492, 1122, 367, 9873, 565, 596, 11962, 10768, 362, 338, 1532, 29899, 28192, 287, 29892, 541, 920, 508, 366, 2649, 29973, 2266, 526, 2211, 1820, 4221, 4097, 304, 1371, 366, 24809], "y_decoded": "\nYou may be wondering if your customer segmentation is well-segmented, but how can you tell? Here are three key indicators to help you assess", "py|x": 1.569074115082003e-08}
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{"id": 6, "x": [1, 259], "x_decoded": " ", "y": [13, 13, 29871, 849, 6204, 263, 716, 740, 393, 4893, 385, 1203, 322, 3639, 278, 995, 310, 263, 2875, 13, 29871, 740, 679, 20420, 29898, 5415, 29892, 3107, 29897, 426, 13, 1678], "y_decoded": "\n\n // Create a new function that takes an object and returns the value of a property\n function getProp(obj, prop) {\n ", "py|x": 4.288757781393702e-15}
|
| 8 |
+
{"id": 7, "x": [1, 259], "x_decoded": " ", "y": [13, 259, 13, 29871, 849, 6204, 263, 716, 2777, 310, 278, 421, 3421, 3195, 29952, 770, 13, 29871, 722, 590, 3195, 353, 716, 1619, 3195, 890, 13, 259, 13, 29871, 849, 3789], "y_decoded": "\n \n // Create a new instance of the `MyModel` class\n var myModel = new MyModel();\n \n // Set", "py|x": 2.559455092310259e-09}
|
| 9 |
+
{"id": 8, "x": [1, 259], "x_decoded": " ", "y": [13, 28956, 13, 5215, 11701, 408, 10518, 13, 5215, 12655, 408, 7442, 13, 3166, 2071, 19668, 29889, 1457, 19170, 1053, 10117, 29636, 261, 13, 3166, 2071, 19668, 29889, 10660, 29918, 4299, 1053], "y_decoded": "\n```\nimport pandas as pd\nimport numpy as np\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.linear_model import", "py|x": 1.2519190022430848e-05}
|
| 10 |
+
{"id": 9, "x": [1, 259], "x_decoded": " ", "y": [13, 13, 5215, 9537, 515, 525, 8423, 2670, 13, 5215, 426, 671, 2792, 500, 515, 525, 8423, 2670, 13, 5215, 426, 671, 20570, 500, 515, 525, 8423, 29899, 15140, 29899, 3129, 2670], "y_decoded": "\n\nimport React from 'react';\nimport { useState } from 'react';\nimport { useHistory } from 'react-router-dom';", "py|x": 3.122388307019719e-06}
|
| 11 |
+
{"id": 10, "x": [1, 259], "x_decoded": " ", "y": [13, 29871, 13, 13, 13, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n \n\n\n</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 12 |
+
{"id": 11, "x": [1, 259], "x_decoded": " ", "y": [13, 29871, 529, 4563, 770, 543, 1054, 29899, 3487, 29899, 29946, 784, 29899, 3844, 29899, 29953, 784, 29899, 29896, 29906, 1013, 13, 1678, 529, 4563, 770, 543, 7543, 5881, 29899, 16202, 1013], "y_decoded": "\n <div class=\"col-md-4 col-sm-6 col-12\">\n <div class=\"card card-stats\">", "py|x": 1.0567215547041542e-08}
|
| 13 |
+
{"id": 12, "x": [1, 259], "x_decoded": " ", "y": [13, 29871, 849, 910, 338, 263, 2560, 1342, 310, 263, 2106, 4933, 393, 10703, 263, 6996, 13, 29871, 849, 1899, 1196, 5067, 363, 263, 304, 29891, 6601, 29889, 450, 2106, 4933, 13], "y_decoded": "\n // This is a simple example of a state machine that implements a basic\n // command line interface for a toy computer. The state machine\n", "py|x": 1.033350380090503e-14}
|
| 14 |
+
{"id": 13, "x": [1, 259], "x_decoded": " ", "y": [13, 29871, 1780, 1667, 580, 426, 13, 1678, 849, 8741, 310, 773, 278, 376, 2158, 29908, 740, 304, 1596, 263, 2643, 304, 278, 2991, 13, 1678, 1596, 703, 10994, 29892, 2787, 24862], "y_decoded": "\n void main() {\n // Example of using the \"print\" function to print a message to the console\n print(\"Hello, World!\");", "py|x": 1.5334119390919554e-11}
|
| 15 |
+
{"id": 14, "x": [1, 259], "x_decoded": " ", "y": [13, 29871, 334, 450, 421, 726, 29952, 2875, 338, 263, 1347, 393, 3743, 278, 1426, 304, 367, 8833, 297, 278, 1426, 1881, 1746, 29889, 13, 29871, 334, 450, 421, 1767, 29952, 2875], "y_decoded": "\n * The `text` property is a string that contains the text to be displayed in the text input field.\n * The `value` property", "py|x": 7.199361332782539e-12}
|
| 16 |
+
{"id": 15, "x": [1, 259], "x_decoded": " ", "y": [13, 28956, 13, 5215, 11701, 408, 10518, 13, 5215, 12655, 408, 7442, 13, 13, 29937, 1653, 263, 4559, 8783, 13, 1272, 353, 11117, 1170, 2396, 6024, 29909, 5897, 742, 525, 29362, 742], "y_decoded": "\n```\nimport pandas as pd\nimport numpy as np\n\n# create a sample dataset\ndata = {'Name': ['Alice', 'Bob',", "py|x": 1.5444013115484267e-05}
|
| 17 |
+
{"id": 16, "x": [1, 259], "x_decoded": " ", "y": [13, 28956, 13, 5215, 12655, 408, 7442, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 13, 29937, 3251, 403, 777, 4036, 848, 13, 29916, 353, 7442, 29889, 1915, 3493, 29898, 29900], "y_decoded": "\n```\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# Generate some random data\nx = np.linspace(0", "py|x": 9.748437878442928e-05}
|
| 18 |
+
{"id": 17, "x": [1, 259], "x_decoded": " ", "y": [13, 1678, 849, 2023, 13, 29913, 13, 28956, 13, 13, 3492, 508, 884, 671, 278, 421, 9136, 29952, 13553, 304, 2737, 304, 278, 3847, 770, 310, 263, 1158, 29892, 763, 445, 29901], "y_decoded": "\n // ...\n}\n```\n\nYou can also use the `super` keyword to refer to the parent class of a method, like this:", "py|x": 3.386447548704881e-14}
|
| 19 |
+
{"id": 18, "x": [1, 259], "x_decoded": " ", "y": [13, 13, 13, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\n\n</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 20 |
+
{"id": 19, "x": [1, 259], "x_decoded": " ", "y": [13, 13, 13, 13, 13, 13, 13, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\n\n\n\n\n\n</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 21 |
+
{"id": 20, "x": [1, 259], "x_decoded": " ", "y": [13, 13, 28956, 13, 5215, 9537, 515, 525, 8423, 2670, 13, 5215, 426, 4533, 29892, 3992, 500, 515, 525, 8423, 29899, 11487, 2670, 13, 13, 3075, 11949, 353, 426, 13, 29871, 5639], "y_decoded": "\n\n```\nimport React from 'react';\nimport { View, Text } from 'react-native';\n\nconst styles = {\n container", "py|x": 2.8979829380659794e-07}
|
| 22 |
+
{"id": 21, "x": [1, 259], "x_decoded": " ", "y": [13, 28956, 13, 5215, 11701, 408, 10518, 13, 5215, 12655, 408, 7442, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 13, 29937, 16012, 278, 848, 13, 2176, 353, 10518, 29889, 949], "y_decoded": "\n```\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# Load the data\ndf = pd.read", "py|x": 3.760130130103789e-05}
|
| 23 |
+
{"id": 22, "x": [1, 259], "x_decoded": " ", "y": [13, 29871, 849, 22402, 278, 1881, 322, 1962, 4072, 13, 29871, 1235, 1881, 10562, 29901, 10567, 1542, 2636, 353, 518, 13, 1678, 426, 1024, 29901, 525, 6786, 742, 1134, 29901, 525, 726], "y_decoded": "\n // Define the input and output types\n let inputTypes: InputType[] = [\n { name: 'username', type: 'text", "py|x": 1.1583792085267941e-11}
|
| 24 |
+
{"id": 23, "x": [1, 259], "x_decoded": " ", "y": [13, 13, 1753, 4770, 2344, 12035, 1311, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 1678, 2428, 2141, 1649, 2344, 1649, 10456, 5085, 29892, 3579, 19290, 29897, 13, 1678, 1583, 29889, 1272], "y_decoded": "\n\ndef __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self.data", "py|x": 4.745015758089721e-08}
|
| 25 |
+
{"id": 24, "x": [1, 259], "x_decoded": " ", "y": [13, 29871, 722, 590, 14732, 353, 716, 5386, 29889, 20119, 2133, 29889, 3542, 14732, 29898, 3225, 29889, 7119, 877, 15425, 29918, 4563, 14749, 13, 29871, 590, 14732, 29889, 4012, 29898, 1272, 29892], "y_decoded": "\n var myChart = new google.visualization.LineChart(document.getElementById('chart_div'));\n myChart.draw(data,", "py|x": 6.283065090428863e-08}
|
| 26 |
+
{"id": 25, "x": [1, 259], "x_decoded": " ", "y": [13, 259, 13, 29871, 396, 22402, 263, 740, 304, 8147, 278, 1353, 310, 3064, 263, 3058, 1734, 5692, 297, 263, 1347, 13, 29871, 740, 2302, 29918, 1742, 29898, 710, 29892, 1734, 29897], "y_decoded": "\n \n # Define a function to calculate the number of times a certain word appears in a string\n function count_word(str, word)", "py|x": 1.6690631082089125e-13}
|
| 27 |
+
{"id": 26, "x": [1, 259], "x_decoded": " ", "y": [13, 13, 13, 13, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "y_decoded": "\n\n\n\n</s><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk><unk>", "py|x": 0.0}
|
| 28 |
+
{"id": 27, "x": [1, 259], "x_decoded": " ", "y": [13, 28956, 13, 5215, 9537, 515, 525, 8423, 2670, 13, 5215, 426, 27088, 23971, 29892, 12034, 29892, 28176, 29892, 6645, 500, 515, 525, 8423, 29899, 15140, 29899, 3129, 2670, 13, 13, 2220], "y_decoded": "\n```\nimport React from 'react';\nimport { BrowserRouter, Route, Switch, Link } from 'react-router-dom';\n\nfunction", "py|x": 9.394626977154985e-05}
|
| 29 |
+
{"id": 28, "x": [1, 259], "x_decoded": " ", "y": [13, 13, 29937, 2856, 529, 23811, 29958, 13, 29937, 2856, 529, 8111, 29958, 13, 13, 4746, 7397, 3659, 29936, 13, 13, 524, 1667, 580, 426, 13, 1678, 938, 302, 29936, 13, 1678], "y_decoded": "\n\n#include <iostream>\n#include <vector>\n\nusing namespace std;\n\nint main() {\n int n;\n ", "py|x": 4.9241305532632396e-05}
|
| 30 |
+
{"id": 29, "x": [1, 259], "x_decoded": " ", "y": [13, 13, 1753, 1243, 29918, 15807, 403, 29918, 9175, 29898, 1311, 1125, 13, 1678, 396, 4321, 278, 8147, 29918, 9175, 740, 411, 263, 2854, 3234, 13, 1678, 3234, 353, 10969, 29898, 978], "y_decoded": "\n\ndef test_calculate_price(self):\n # Test the calculate_price function with a valid product\n product = Product(name", "py|x": 9.291207126588263e-13}
|
| 31 |
+
{"id": 30, "x": [1, 259], "x_decoded": " ", "y": [13, 5215, 12655, 408, 7442, 13, 5215, 22889, 29889, 2272, 5317, 408, 14770, 13, 3166, 4560, 2272, 29889, 1639, 3733, 403, 1053, 1207, 29918, 1639, 29886, 29918, 23579, 457, 13, 13, 1753], "y_decoded": "\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom scipy.interpolate import make_interp_spline\n\ndef", "py|x": 1.4215088413038757e-06}
|
| 32 |
+
{"id": 31, "x": [1, 259], "x_decoded": " ", "y": [13, 29871, 910, 338, 263, 4559, 310, 263, 2560, 1856, 2280, 4240, 773, 2379, 1278, 322, 2379, 1278, 29899, 4176, 2499, 305, 6764, 29889, 739, 6511, 4160, 304, 1653, 29892, 1303, 29892], "y_decoded": "\n This is a sample of a simple web application built using Flask and Flask-SQLAlchemy. It allows users to create, read,", "py|x": 2.343591813669388e-11}
|
meta_llama_llama_2_7b_chat_hf/h32/space/test.pt
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meta_llama_llama_2_7b_chat_hf/h32/space/train.pt
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