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Datasets:
JST-SUPERB
/
Gaussian_encodec_24k_6bps

Modalities:
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Formats:
parquet
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1K - 10K
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speech_input
stringlengths
0
425
noisy_10dB_transcription_whisper-small.en
stringlengths
3
2.21k
noisy_5dB_transcription_whisper-small.en
stringlengths
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926
noisy_0dB_transcription_whisper-small.en
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1.58k
noisy_-5dB_transcription_whisper-small.en
stringlengths
1
2.23k
noisy_-10dB_transcription_whisper-small.en
stringlengths
1
2.67k
noisy_10dB_transcription_whisper-medium.en
stringlengths
3
404
noisy_5dB_transcription_whisper-medium.en
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1.34k
noisy_0dB_transcription_whisper-medium.en
stringlengths
3
1.34k
noisy_-5dB_transcription_whisper-medium.en
stringlengths
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3.09k
noisy_-10dB_transcription_whisper-medium.en
stringlengths
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3.41k
noisy_10dB_transcription_whisper-large-v3
stringlengths
3
912
noisy_5dB_transcription_whisper-large-v3
stringlengths
3
912
noisy_0dB_transcription_whisper-large-v3
stringlengths
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1.33k
noisy_-5dB_transcription_whisper-large-v3
stringlengths
3
1.49k
noisy_-10dB_transcription_whisper-large-v3
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2.59k
output
stringlengths
1
2.92k
clean_audio_transcription_whisper-small.en
stringlengths
3
404
clean_audio_transcription_whisper-medium.en
stringlengths
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404
clean_audio_transcription_whisper-large-v3
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clean_audio_unit
sequencelengths
8
8
noisy_10dB_unit
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8
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noisy_5dB_unit
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8
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noisy_0dB_unit
sequencelengths
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noisy_-5dB_unit
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noisy_-10dB_unit
sequencelengths
8
8
Categorize the following sentence: The car is red.
Categorize the following sentence. The car is red.
Categorize the following sentence, the car is red.
Categorize the following sentence. The car is red.
Categorize the following sentence. The car is red.
I'm trying to get the rest of the volume to be fine here.
Categorize the following sentence, the car is red.
Categorize the following sentence, the car is red.
Categorize the following sentence. The car is red.
Categorize the following sentence. The car is red.
The category has to follow in the center. The car is here.
Categorize the following sentence, the car is red.
Categorize the following sentence, the car is red.
Categorize the following sentence, the car is red.
Categorize the following sentence, the car is red.
I'm gonna go ask the following person, which car is this?
Category: Descriptive Sentence.
Categorize the following sentence. The car is red.
Categorize the following sentence, the car is red.
Categorize the following sentence, The car is red.
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Construct a metaphor that captures the feeling of joy.
Construct the metaphor that captures the feeling of joy.
Construct the metaphor that captures the feeling of joy.
Construct medical order captions to feel your joy.
Construct medical equipment after the hearing is done.
I'm just a medical doctor. I'm feeling good.
Construct the metaphor that captures the feeling of joy.
Construct the metaphor that captures the feeling of joy.
Construct metaphor that captures the feeling of joy.
Construct the metaphor that captures the feeling of joy.
Instead, the medical department is doing the job.
Construct metaphor that captures the feeling of joy
Construct metaphor that captures the feeling of joy
Construct metaphor that captures the feeling of joy.
Construct a metaphor that captures the feeling of joy.
Construct medical equipment to kill the drugs.
Joy is like a bountiful garden, where vibrant flowers bloom and sweet fragrances fill the air, where bees buzz and birds sing, and where each step taken fills the heart with warmth and happiness.
Construct the metaphor that captures the feeling of joy.
Construct the metaphor that captures the feeling of joy.
Construct a metaphor that captures the feeling of joy.
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Name three things that a computer can do that a person cannot.
Name three things that a computer can do that a person cannot.
Main three things that a computer can do that a person can not.
main three things that a computer can do that a person can not.
You can learn two things that a computer can do that a person can learn.
No one's safe during the service and she doesn't need to be able to access the computer.
Name three things that a computer can do that a person cannot.
Main three things that a computer can do that a person cannot.
Main three things that a computer can do that a person can not.
No two things that a computer can do that a person can do.
No one's safe in this area. Computer can be a better place to live.
Name three things that a computer can do that a person cannot.
The main three things that a computer can do that a person cannot.
The main three things that a computer can do that a person cannot.
The only three things that a computer can do that is listen to noise.
and they won't say things that a computer can do that a person can't.
1. Perform complex calculations at a high speed: Computers can perform millions of mathematical operations in a fraction of a second, much faster than any human could. Tasks such as statistical analysis, financial modeling, and other data-driven tasks can be done quickly and accurately using a computer. 2. Store and retrieve vast amounts of information: Computers have the ability to store a large amount of data and can retrieve it almost instantly. This is much faster and more efficient than a human trying to remember or search for information. 3. Run multiple tasks simultaneously: Computers can multitask and run multiple programs and operations at the same time. This allows them to perform a variety of tasks at the same time, while a human can typically only focus their attention on one task at a time.
Name three things that a computer can do that a person cannot.
Name three things that a computer can do that a person cannot.
Name three things that a computer can do that a person cannot.
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478, 420, 809, 822, 495, 384, 431, 275, 255, 607, 1020, 96, 144, 598, 827, 142, 153, 213, 428, 498, 892, 865, 277, 706, 657, 580, 381, 343, 477, 79, 365, 272, 999, 745, 429, 536, 721, 225, 887, 262, 506, 173, 7, 384, 478, 742, 644, 349, 815, 877, 910, 1015, 158, 340, 340, 840, 85, 495, 145, 453, 620, 769, 975, 1017, 600, 313, 153, 485, 417, 311, 690, 1011, 667, 585, 811, 784, 673, 342, 303, 515, 384, 426, 20, 437, 313, 32, 910, 234, 20, 805, 814, 816, 788, 340, 377, 280, 641, 795, 519, 31, 425, 299, 529, 948, 1005, 626, 277, 268, 384, 268, 974, 79, 795, 600, 108, 1009, 741, 970, 16, 1022, 333, 553, 907, 888, 483, 715, 974, 493, 664, 590, 520, 886, 581, 929, 905, 966, 238, 64, 684, 607, 259, 915, 637, 108, 846, 859, 279, 541, 736, 586, 740, 48, 366, 277, 20, 57, 294, 247, 338, 225, 851, 695, 971, 123, 38, 771, 25, 880, 53, 625, 186, 145, 47, 774, 940, 847, 308, 929, 841, 964, 506, 197, 45, 428, 18, 582, 357, 797, 271, 350, 18, 91, 185, 630, 952, 925, 285, 1004, 948, 608, 872, 566, 793, 386, 463, 69, 555, 599, 117, 107, 954, 397, 197, 648, 999, 993, 507, 875, 49, 379, 37, 719, 940, 438, 1007, 600, 388, 142, 48, 775, 588, 17, 548, 388, 391, 122, 507, 509, 667, 952, 202, 519, 774, 32, 107, 351, 944, 207, 990, 639, 910, 477, 32 ], [ 101, 370, 999, 356, 376, 648, 550, 24, 791, 432, 42, 54, 423, 13, 177, 274, 624, 110, 850, 574, 429, 610, 93, 558, 146, 186, 327, 746, 125, 187, 696, 847, 57, 299, 275, 30, 449, 869, 396, 555, 358, 613, 45, 116, 601, 1022, 635, 555, 353, 604, 87, 510, 564, 517, 592, 1004, 106, 305, 696, 952, 585, 93, 857, 832, 598, 110, 307, 390, 76, 675, 800, 917, 602, 94, 242, 553, 90, 356, 616, 722, 76, 520, 669, 510, 723, 303, 207, 832, 113, 625, 696, 577, 595, 857, 314, 3, 266, 275, 707, 1014, 491, 927, 836, 915, 753, 61, 538, 39, 873, 216, 60, 205, 928, 449, 767, 722, 824, 395, 696, 580, 952, 555, 814, 16, 318, 447, 285, 809, 841, 917, 311, 427, 443, 941, 616, 21, 321, 243, 726, 76, 260, 631, 394, 747, 509, 656, 601, 704, 157, 446, 115, 826, 200, 595, 969, 598, 731, 152, 138, 621, 275, 0, 865, 870, 414, 141, 617, 58, 324, 346, 39, 356, 367, 197, 117, 510, 175, 828, 910, 327, 688, 654, 329, 770, 630, 467, 492, 897, 484, 872, 960, 944, 310, 521, 730, 718, 633, 1020, 707, 200, 603, 669, 34, 93, 1021, 793, 323, 8, 490, 499, 759, 194, 981, 410, 35, 731, 910, 162, 9, 616, 999, 519, 372, 249, 414, 868, 1009, 356, 339, 756, 239, 623, 704, 137, 429, 486, 298, 855, 391, 713, 251, 35, 611, 61, 193, 841, 57, 61, 502, 798, 709, 805, 902 ], [ 990, 240, 249, 813, 569, 326, 955, 795, 1008, 927, 524, 1003, 903, 72, 353, 623, 262, 419, 510, 197, 746, 554, 614, 348, 633, 856, 422, 300, 278, 2, 729, 567, 626, 184, 945, 307, 103, 122, 151, 551, 27, 1019, 142, 400, 123, 875, 218, 503, 907, 821, 855, 110, 427, 476, 884, 330, 1008, 761, 277, 584, 541, 97, 281, 408, 1006, 109, 475, 288, 158, 760, 855, 760, 778, 802, 870, 988, 97, 868, 251, 737, 143, 214, 779, 857, 564, 96, 262, 1019, 773, 55, 987, 902, 516, 648, 696, 742, 302, 508, 699, 71, 674, 245, 137, 824, 394, 968, 104, 325, 314, 40, 396, 128, 5, 735, 153, 973, 779, 875, 784, 499, 699, 173, 448, 624, 172, 437, 223, 19, 554, 572, 683, 618, 740, 600, 894, 439, 637, 141, 761, 885, 462, 177, 437, 852, 611, 72, 273, 120, 317, 637, 627, 290, 895, 738, 625, 739, 565, 47, 802, 581, 169, 805, 775, 637, 698, 630, 639, 523, 529, 165, 459, 770, 276, 718, 775, 665, 831, 466, 319, 408, 294, 575, 256, 180, 20, 683, 565, 757, 252, 177, 1014, 769, 533, 742, 560, 501, 228, 931, 953, 466, 422, 574, 648, 80, 103, 995, 82, 435, 964, 718, 281, 137, 341, 992, 553, 40, 51, 576, 716, 269, 400, 266, 739, 596, 34, 223, 424, 155, 350, 533, 869, 813, 517, 85, 611, 809, 136, 444, 781, 932, 646, 923, 653, 647, 396, 72, 163, 1021, 373, 856, 130, 111, 499 ], [ 624, 897, 739, 960, 540, 874, 950, 858, 699, 451, 745, 844, 441, 364, 414, 909, 960, 462, 604, 991, 21, 787, 496, 201, 892, 956, 605, 959, 855, 355, 376, 203, 374, 737, 189, 909, 643, 358, 493, 56, 18, 280, 699, 721, 360, 389, 735, 928, 550, 884, 549, 375, 31, 585, 815, 964, 715, 602, 799, 136, 230, 127, 780, 585, 907, 775, 765, 735, 64, 334, 1002, 499, 41, 829, 1004, 418, 229, 238, 870, 130, 901, 346, 801, 761, 835, 375, 154, 382, 554, 333, 286, 229, 454, 563, 51, 535, 999, 634, 119, 178, 53, 371, 487, 375, 39, 1015, 228, 942, 521, 1005, 1014, 683, 194, 299, 1004, 819, 784, 574, 406, 257, 43, 449, 471, 721, 632, 780, 486, 921, 381, 2, 274, 141, 110, 976, 255, 481, 336, 499, 17, 843, 501, 100, 281, 394, 888, 127, 107, 850, 611, 683, 262, 633, 394, 288, 255, 683, 391, 642, 388, 396, 982, 23, 414, 478, 744, 2, 5, 323, 920, 1008, 765, 829, 821, 751, 481, 805, 1016, 344, 917, 346, 485, 976, 958, 146, 844, 869, 234, 224, 939, 977, 554, 102, 992, 276, 426, 217, 178, 7, 905, 358, 17, 379, 418, 814, 138, 222, 905, 891, 631, 829, 651, 870, 692, 677, 219, 471, 156, 466, 331, 863, 785, 589, 385, 229, 157, 121, 424, 179, 506, 933, 775, 953, 986, 344, 1007, 626, 344, 441, 319, 563, 433, 850, 332, 915, 579, 514, 712, 873, 262, 335, 604, 614, 576 ] ]
Describe what is meant by computing power.
Describe what is meant by computing power.
Describe what is meant by computing power.
Describe what is meant by computing power.
This guy is worth his hand by computing power.
This car is left behind, second seating time.
Describe what is meant by computing power.
Describe what is meant by computing power.
This drive worth is meant by computing power.
This drive work is manned by computing power.
This project is now in second place.
Describe what is meant by computing power.
Describe what is meant by computing power.
This guidebook is meant by computing power.
This guidebook is manned by computing power.
This project is a non-stop including project.
"Computing power refers to the capacity of a computer to process information and perform calculation(...TRUNCATED)
Describe what is meant by computing power.
Describe what is meant by computing power.
Describe what is meant by computing power.
[[121,408,62,62,724,875,549,816,701,681,813,847,934,574,744,574,574,496,798,798,537,408,410,780,11,1(...TRUNCATED)
[[488,438,488,438,488,821,708,109,701,840,689,840,237,619,744,115,574,496,488,194,798,798,798,488,42(...TRUNCATED)
[[115,794,821,794,794,229,794,109,701,840,689,840,496,125,744,934,794,794,461,194,794,194,438,821,79(...TRUNCATED)
[[196,785,794,287,794,785,785,109,577,840,577,840,794,125,196,196,196,794,794,785,794,794,794,794,78(...TRUNCATED)
[[196,87,196,785,196,87,287,474,577,752,577,87,196,87,64,785,87,785,785,287,785,87,794,785,785,87,96(...TRUNCATED)
[[44,883,883,883,87,883,883,474,217,332,718,883,883,87,64,883,883,196,144,883,87,196,144,883,883,87,(...TRUNCATED)
List 10 important events in the history of the US.
List 10 important events in the history of the US
list 10 important events in the history of the US.
List 10 important events in the history of the U.S.
List 10 important events in the history of the U.S.
This is kind of important to have some history with the US.
list 10 important events in the history of the US.
list 10 important events in the history of the US.
list 10 important events in the history of the U.S.
list 10 important events in the history of the U.S.
It looks kind of important to us in the history of the US.
List 10 important events in the history of the US
List 10 important events in the history of the US
List 10 Important Events in the History of the U.S.
list 10 important events in the history of the US.
at this time of the day in the history of the U.S.
"1. The Signing of the Declaration of Independence (1776): On July 4th, 1776, the 13 British colonie(...TRUNCATED)
List 10 Important Events in the History of the US
List 10 Important Events in the History of the US
List 10 Important Events in the History of the US
[[121,408,62,62,835,310,955,642,723,429,838,722,436,574,619,145,145,148,148,148,339,408,922,619,940,(...TRUNCATED)
[[438,488,438,488,488,436,882,394,882,429,838,822,436,496,496,794,145,496,145,821,798,821,409,794,19(...TRUNCATED)
[[115,794,821,794,794,794,361,513,686,429,802,294,794,496,496,496,496,794,496,420,461,794,194,794,79(...TRUNCATED)
[[196,785,794,794,785,794,295,295,295,752,802,294,847,549,785,785,794,496,549,794,420,794,785,794,79(...TRUNCATED)
[[196,87,196,87,196,549,295,295,295,332,577,104,196,196,785,87,549,549,87,785,785,785,785,287,87,785(...TRUNCATED)
[[44,44,883,883,883,883,295,295,883,371,883,87,883,883,64,144,883,87,883,883,883,883,883,883,144,883(...TRUNCATED)
"In the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"In the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"in the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"In the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"In the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"The next time we contact a computer related recognition system, this time it's a different system f(...TRUNCATED)
"In the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"In the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"In the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"In the context of a computer-related recognition system, describe the differences between facial re(...TRUNCATED)
"From the context of a computer-related recognition system, it sounds like a difference between faci(...TRUNCATED)
"in the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"in the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"in the context of a computer-aided recognition system, describes the differences between facial rec(...TRUNCATED)
"in the context of a computer-aided recognition system, describes the differences between facial rec(...TRUNCATED)
The system is designed to protect the human body from the effects of the virus.
"Facial recognition and fingerprint recognition are two commonly used biometric recognition techniqu(...TRUNCATED)
"In the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"In the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
"In the context of a computer-aided recognition system, describe the differences between facial reco(...TRUNCATED)
[[865,121,62,62,103,843,721,689,266,926,868,651,687,255,636,368,692,701,813,724,780,408,408,408,876,(...TRUNCATED)
[[438,821,176,194,488,194,266,689,266,580,745,776,882,776,708,847,689,327,622,438,798,798,488,798,79(...TRUNCATED)
[[794,821,794,488,287,194,266,689,266,985,671,985,882,776,708,847,622,622,622,438,488,794,488,488,79(...TRUNCATED)
[[196,794,794,549,794,794,266,692,671,618,671,618,295,618,962,266,692,217,962,794,794,794,794,794,79(...TRUNCATED)
[[196,87,87,196,794,87,217,692,671,474,295,618,295,618,295,217,692,577,577,549,785,785,785,785,287,8(...TRUNCATED)
[[44,883,883,87,883,87,851,474,883,474,295,474,883,474,883,217,883,883,64,144,87,883,87,87,87,883,87(...TRUNCATED)
Name one disadvantage of online shopping
Name one disadvantage of online shopping.
name one disadvantage of online shopping.
May 1, disadvantage of online shopping.
1 million won, just exactly for going on shopping.
Hey, I didn't get the price at this time and I'm sorry.
Name one disadvantage of online shopping.
Name one disadvantage of online shopping.
Name one disadvantage of online shopping.
Me and One District Back at the Bologna on shopping.
I'm just a guy that's a-dying and shocking.
Name one disadvantage of online shopping
Name one disadvantage of online shopping.
name one disadvantage of online shopping.
Hey, you want me to just go back up and go shopping?
Hey, I'm just a guy that's just hanging out in the shopping.
"One disadvantage of online shopping is the risk of fraud and scams. It is possible to come across f(...TRUNCATED)
Name one disadvantage of online shopping.
Name one disadvantage of online shopping.
Name One Disadvantage of Online Shopping
[[62,408,62,62,408,957,86,143,672,955,813,1023,788,580,801,492,35,906,533,872,872,368,502,890,872,36(...TRUNCATED)
[[438,488,438,821,798,194,847,745,745,379,962,1023,35,580,35,802,35,35,915,229,745,847,492,35,745,84(...TRUNCATED)
[[794,794,115,488,794,821,109,847,745,962,962,802,802,802,801,802,802,802,962,229,294,847,847,802,22(...TRUNCATED)
[[115,794,794,794,794,785,217,266,294,962,962,802,802,802,802,802,802,802,962,229,294,294,802,802,98(...TRUNCATED)
[[196,196,196,87,87,196,217,217,294,962,962,87,87,802,802,802,802,802,962,87,294,785,802,802,962,618(...TRUNCATED)
[[883,883,883,883,87,883,883,332,87,883,883,883,144,589,883,87,883,883,883,883,87,87,196,87,64,883,8(...TRUNCATED)
Name one difference between a GPT-3 and traditional language model
Name one difference between a GPT-3 and traditional language model.
Name one difference between a GPT-3 and traditional language model.
Name one difference between a GPC-3 and traditional language model.
The medium difference between the ZZC screen and traditional language models.
You know, different things. You can see things. You can see it in the dark.
Name one difference between a GPT-3 and traditional language model.
Name one difference between a GPT-3 and traditional language model.
Name one difference between a GPT-3 and traditional language model.
...mainly in difference between the VPC3 and traditional language models.
Mainly different from the previous two streams, but this year only we can watch.
Name one difference between a GPT-3 and traditional language model
Name one difference between a GPT-3 and traditional language model.
Name one difference between a GPT-3 and traditional language model.
Name and difference between the GPC3 and traditional language models.
No one would think that someone who could be human could be a human with a mind.
"A key difference between GPT-3 and traditional language models is the size and training capacity of(...TRUNCATED)
Name one difference between a GPT-3 and traditional language model.
Name one difference between a GPT-3 and traditional language model.
Name one difference between a GPT-3 and traditional language model.
[[121,408,408,62,875,875,687,328,255,605,687,312,960,825,407,489,534,465,489,894,407,465,489,991,955(...TRUNCATED)
[[438,488,798,237,708,628,882,266,776,689,882,882,822,882,407,361,985,294,842,908,536,745,801,822,37(...TRUNCATED)
[[115,794,794,794,708,229,882,266,618,572,882,882,41,882,962,361,985,294,842,908,801,294,109,802,962(...TRUNCATED)
[[196,785,794,287,802,962,342,41,618,692,295,882,41,295,671,692,962,294,692,802,959,294,692,802,962,(...TRUNCATED)
[[196,87,144,87,87,87,295,332,618,692,295,295,41,295,295,692,692,332,692,962,104,332,883,41,962,332,(...TRUNCATED)
[[44,883,883,883,883,883,883,663,474,474,295,295,851,883,295,883,883,217,883,64,883,332,615,883,883,(...TRUNCATED)
Output a list of items needed to have a picnic.
Outflow of subdivided needed to have a picnic
Outfills and vitamins needed to have a pigment.
Outfills, inviting you to have a picnic.
out there inviting me to go have a Christmas.
After all, it's inviting you to have a good evening.
outputless items needed to have a picnic.
Out there listed vitamins needed to have a picnic.
Outrealists inviting me to have a picnic.
Outdoors dividing view behind the curtain.
Outdoors, not even on the kitchen.
Output list of items needed to have a picnic.
Outfielder's Sub-Items needed to have a picnic.
How close is Vidon's needing to have a picnic?
I'll fill it to the right of the needle now, okay?
Out there is some writing community on the business.
"Here is a list of items you may need for a picnic:\n\n1. Picnic blanket or tablecloth\n2. Basket or(...TRUNCATED)
output list of items needed to have a picnic.
I'll put a list of items needed to have a picnic.
Output a list of items needed to have a picnic.
[[62,62,62,62,408,395,835,461,869,233,213,997,478,213,213,936,112,879,738,738,408,798,176,499,176,49(...TRUNCATED)
[[438,438,798,438,798,438,798,488,869,85,85,486,213,172,405,405,405,237,176,488,438,798,488,194,438,(...TRUNCATED)
[[115,794,194,821,821,794,488,821,16,85,85,486,172,172,405,985,1020,237,145,438,194,488,488,194,794,(...TRUNCATED)
[[196,785,794,794,794,794,794,287,632,172,172,172,172,172,618,287,802,496,794,794,794,794,794,794,79(...TRUNCATED)
[[196,196,87,785,196,785,785,196,632,172,988,632,87,172,87,988,87,802,115,785,785,87,87,549,785,785,(...TRUNCATED)
[[44,196,883,87,883,144,883,87,632,87,883,632,632,883,632,632,883,87,196,883,87,87,87,87,87,196,883,(...TRUNCATED)
Can you create a story that ends with the sentence "The river wound its way through the forest"?
Can you create a story that ends with a sentence a rebel loomed its way through the forest?
Can you create a story that ends with a sentence forever on its way through the forest?
Can you create a story that ends with a sentence forever when you explain three to four?
Can you create a story that ends with a printing pen that everyone would score beautifully?
I think the latest story of the country is speaking to the very new spirit of the city of Wales.
Can you create a story that ends with the sentence of everyone its way through the forest?
Can we create a story that ends with a sentence of everyone's way through the forest?
A fucking creator story that ends with a sentence forever when you explain it to the forest?
The King Creator store at the hands of the King is the heavenly store of King Forrest.
I think the way they're still in the front is they're sleeping together and it's good for it.
Can you create a story that ends with the sentence of Revil and its way through the forest?
Can you create a story that ends with a sentence of reveling its way through the forest?
Can you create a story that ends with a sentence that never limits way, Peter Forrest?
Can you create a story that ends with the twins being together when you're two and three and four?
I think the latest story I think is a pretty good story.
"The river wound its way through the forest, cascading over rocks and tumbling through rapids as it (...TRUNCATED)
Can you create a story that ends with the sentence of River Wound its way through the forest?
Can you create a story that ends with the sentence The river wound its way through the forest?
Can you create a story that ends with the sentence of Ever wound its way through the forest?
[[865,121,121,835,237,496,148,237,759,822,561,923,977,770,328,311,776,822,559,1008,935,73,73,395,461(...TRUNCATED)
[[438,488,798,798,438,488,237,237,759,822,759,822,801,776,822,759,776,822,985,979,798,798,488,438,46(...TRUNCATED)
[[794,794,794,488,794,194,488,794,759,822,759,822,801,618,822,759,776,822,985,985,821,794,194,488,79(...TRUNCATED)
[[196,287,794,794,794,785,794,794,759,41,759,41,801,1003,41,692,618,41,692,985,794,794,794,794,794,7(...TRUNCATED)
[[196,785,196,785,785,785,196,785,1003,41,692,87,87,618,41,692,474,41,692,618,785,196,785,785,785,78(...TRUNCATED)
[[44,883,883,883,87,883,883,883,692,883,632,883,64,474,883,692,87,87,883,144,883,87,883,144,883,87,8(...TRUNCATED)
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Dataset Card for "Gaussian_unit"

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Size of downloaded dataset files:
121 MB
Size of the auto-converted Parquet files:
121 MB
Number of rows:
5,135