task_name stringclasses 13
values | dataset_name stringclasses 13
values | id stringlengths 4 47 | data_type stringclasses 4
values | input_ts dict | input_text stringclasses 593
values | gt_text stringclasses 75
values | gt_result dict | meta_data unknown |
|---|---|---|---|---|---|---|---|---|
RadioML | RadioML2016.10A | RML2016.10A_eval_8PSK_12_000100 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_8PSK_12_000100.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please analyze the given I/Q signal sample and classify its modulation type. Choose one label from the following classes: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is 8PSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"8PSK"
]
} | {
"split": "eval",
"mod": "8PSK",
"snr": 12,
"sample_index_in_group": 100
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_QAM16_16_000181 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_QAM16_16_000181.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Given this two-channel I/Q sequence, identify the modulation scheme. The answer must be one of: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is QAM16. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"QAM16"
]
} | {
"split": "eval",
"mod": "QAM16",
"snr": 16,
"sample_index_in_group": 181
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_PAM4_16_000108 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_PAM4_16_000108.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Given the sampled I/Q data, recognize which digital or analog modulation scheme is used. The available classes are: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is PAM4. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"PAM4"
]
} | {
"split": "eval",
"mod": "PAM4",
"snr": 16,
"sample_index_in_group": 108
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_8PSK_8_000059 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_8PSK_8_000059.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please examine the signal characteristics and classify the modulation type into one of these categories: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is 8PSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"8PSK"
]
} | {
"split": "eval",
"mod": "8PSK",
"snr": 8,
"sample_index_in_group": 59
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_AM-SSB_12_000166 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_AM-SSB_12_000166.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please classify this I/Q sample for automatic modulation recognition. Output one of the following labels: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is AM-SSB. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"AM-SSB"
]
} | {
"split": "eval",
"mod": "AM-SSB",
"snr": 12,
"sample_index_in_group": 166
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_QAM64_-14_000044 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_QAM64_-14_000044.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Based on the given in-phase and quadrature components, predict the corresponding modulation format. Candidate classes are: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is QAM64. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"QAM64"
]
} | {
"split": "eval",
"mod": "QAM64",
"snr": -14,
"sample_index_in_group": 44
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_BPSK_-2_000079 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_BPSK_-2_000079.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please examine the signal characteristics and classify the modulation type into one of these categories: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is BPSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"BPSK"
]
} | {
"split": "eval",
"mod": "BPSK",
"snr": -2,
"sample_index_in_group": 79
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_QAM16_14_000106 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_QAM16_14_000106.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please classify this I/Q sample for automatic modulation recognition. Output one of the following labels: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is QAM16. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"QAM16"
]
} | {
"split": "eval",
"mod": "QAM16",
"snr": 14,
"sample_index_in_group": 106
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_8PSK_12_000115 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_8PSK_12_000115.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Analyze this wireless communication signal and determine its modulation class. The possible classes are: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is 8PSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"8PSK"
]
} | {
"split": "eval",
"mod": "8PSK",
"snr": 12,
"sample_index_in_group": 115
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_BPSK_-16_000185 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_BPSK_-16_000185.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Analyze this wireless communication signal and determine its modulation class. The possible classes are: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is BPSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"BPSK"
]
} | {
"split": "eval",
"mod": "BPSK",
"snr": -16,
"sample_index_in_group": 185
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_AM-DSB_-6_000081 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_AM-DSB_-6_000081.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Given this two-channel I/Q sequence, identify the modulation scheme. The answer must be one of: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is AM-DSB. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"AM-DSB"
]
} | {
"split": "eval",
"mod": "AM-DSB",
"snr": -6,
"sample_index_in_group": 81
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_AM-SSB_-14_000069 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_AM-SSB_-14_000069.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please examine the signal characteristics and classify the modulation type into one of these categories: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is AM-SSB. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"AM-SSB"
]
} | {
"split": "eval",
"mod": "AM-SSB",
"snr": -14,
"sample_index_in_group": 69
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_8PSK_-16_000019 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_8PSK_-16_000019.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please examine the signal characteristics and classify the modulation type into one of these categories: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is 8PSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"8PSK"
]
} | {
"split": "eval",
"mod": "8PSK",
"snr": -16,
"sample_index_in_group": 19
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_QAM64_16_000165 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_QAM64_16_000165.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Analyze this wireless communication signal and determine its modulation class. The possible classes are: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is QAM64. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"QAM64"
]
} | {
"split": "eval",
"mod": "QAM64",
"snr": 16,
"sample_index_in_group": 165
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_QPSK_-12_000163 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_QPSK_-12_000163.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please infer the modulation category of this I/Q signal. Only choose from the following modulation types: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is QPSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"QPSK"
]
} | {
"split": "eval",
"mod": "QPSK",
"snr": -12,
"sample_index_in_group": 163
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_BPSK_-4_000035 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_BPSK_-4_000035.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Analyze this wireless communication signal and determine its modulation class. The possible classes are: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is BPSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"BPSK"
]
} | {
"split": "eval",
"mod": "BPSK",
"snr": -4,
"sample_index_in_group": 35
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_GFSK_-16_000115 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_GFSK_-16_000115.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Analyze this wireless communication signal and determine its modulation class. The possible classes are: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is GFSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"GFSK"
]
} | {
"split": "eval",
"mod": "GFSK",
"snr": -16,
"sample_index_in_group": 115
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_AM-SSB_-8_000092 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_AM-SSB_-8_000092.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | I need you to perform automatic modulation classification on the provided radio signal sample. Select the correct class from: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is AM-SSB. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"AM-SSB"
]
} | {
"split": "eval",
"mod": "AM-SSB",
"snr": -8,
"sample_index_in_group": 92
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_PAM4_6_000099 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_PAM4_6_000099.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please examine the signal characteristics and classify the modulation type into one of these categories: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is PAM4. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"PAM4"
]
} | {
"split": "eval",
"mod": "PAM4",
"snr": 6,
"sample_index_in_group": 99
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_8PSK_10_000037 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_8PSK_10_000037.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Determine the most likely modulation type for the provided signal sequence. Choose from: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is 8PSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"8PSK"
]
} | {
"split": "eval",
"mod": "8PSK",
"snr": 10,
"sample_index_in_group": 37
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_8PSK_-10_000138 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_8PSK_-10_000138.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Given the sampled I/Q data, recognize which digital or analog modulation scheme is used. The available classes are: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is 8PSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"8PSK"
]
} | {
"split": "eval",
"mod": "8PSK",
"snr": -10,
"sample_index_in_group": 138
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_GFSK_10_000093 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_GFSK_10_000093.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please infer the modulation category of this I/Q signal. Only choose from the following modulation types: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is GFSK. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"GFSK"
]
} | {
"split": "eval",
"mod": "GFSK",
"snr": 10,
"sample_index_in_group": 93
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_QAM64_-18_000005 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_QAM64_-18_000005.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Analyze this wireless communication signal and determine its modulation class. The possible classes are: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is QAM64. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"QAM64"
]
} | {
"split": "eval",
"mod": "QAM64",
"snr": -18,
"sample_index_in_group": 5
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_AM-DSB_6_000003 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_AM-DSB_6_000003.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please infer the modulation category of this I/Q signal. Only choose from the following modulation types: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is AM-DSB. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"AM-DSB"
]
} | {
"split": "eval",
"mod": "AM-DSB",
"snr": 6,
"sample_index_in_group": 3
} |
RadioML | RadioML2016.10A | RML2016.10A_eval_AM-DSB_-18_000179 | npy | {
"num_channel": 2,
"channel_detail": [
"I",
"Q"
],
"path": "Electromagnetic-RadioML-Radio_Modulation_Classification/raw_input/RML2016.10A_eval_AM-DSB_-18_000179.npy",
"length": 128,
"timestamps": [],
"fs": 1000000
} | Please examine the signal characteristics and classify the modulation type into one of these categories: 8PSK, AM-DSB, AM-SSB, BPSK, CPFSK, GFSK, PAM4, QAM16, QAM64, QPSK, WBFM. | The modulation type is AM-DSB. | {
"class_list": [
"8PSK",
"AM-DSB",
"AM-SSB",
"BPSK",
"CPFSK",
"GFSK",
"PAM4",
"QAM16",
"QAM64",
"QPSK",
"WBFM"
],
"gt_class": [
"AM-DSB"
]
} | {
"split": "eval",
"mod": "AM-DSB",
"snr": -18,
"sample_index_in_group": 179
} |
ShipsEar | ShipsEar | 14__10_07_13_piraCies_Espera_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/14__10_07_13_piraCies_Espera_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "14__10_07_13_piraCies_Espera.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 14__10_07_13_piraCies_Espera_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/14__10_07_13_piraCies_Espera_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "14__10_07_13_piraCies_Espera.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 14__10_07_13_piraCies_Espera_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/14__10_07_13_piraCies_Espera_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "14__10_07_13_piraCies_Espera.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 7__10_07_13_marDeCangas_Espera_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/7__10_07_13_marDeCangas_Espera_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "7__10_07_13_marDeCangas_Espera.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 7__10_07_13_marDeCangas_Espera_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/7__10_07_13_marDeCangas_Espera_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "7__10_07_13_marDeCangas_Espera.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 7__10_07_13_marDeCangas_Espera_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/7__10_07_13_marDeCangas_Espera_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "7__10_07_13_marDeCangas_Espera.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 21__18_07_13_lanchaMotora_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/21__18_07_13_lanchaMotora_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Motorboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Motorboat"
]
} | {
"ori_file_path": "21__18_07_13_lanchaMotora.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 20__18_07_13_AutopridePrepManiobra_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/20__18_07_13_AutopridePrepManiobra_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "20__18_07_13_AutopridePrepManiobra.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 40__19_07_13_MarDeCangas_Llega_Interf_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/40__19_07_13_MarDeCangas_Llega_Interf_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "40__19_07_13_MarDeCangas_Llega_Interf.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 43__19_07_13_PirataDeCies_Llega_Interf_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/43__19_07_13_PirataDeCies_Llega_Interf_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "43__19_07_13_PirataDeCies_Llega_Interf.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 43__19_07_13_PirataDeCies_Llega_Interf_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/43__19_07_13_PirataDeCies_Llega_Interf_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "43__19_07_13_PirataDeCies_Llega_Interf.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 28__19_07_13_NuevoRiaAldan_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/28__19_07_13_NuevoRiaAldan_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Trawler. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Trawler"
]
} | {
"ori_file_path": "28__19_07_13_NuevoRiaAldan.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 31__19_07_13_RemolcadorArrancaPara_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/31__19_07_13_RemolcadorArrancaPara_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Tugboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Tugboat"
]
} | {
"ori_file_path": "31__19_07_13_RemolcadorArrancaPara.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 31__19_07_13_RemolcadorArrancaPara_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/31__19_07_13_RemolcadorArrancaPara_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Tugboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Tugboat"
]
} | {
"ori_file_path": "31__19_07_13_RemolcadorArrancaPara.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 31__19_07_13_RemolcadorArrancaPara_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/31__19_07_13_RemolcadorArrancaPara_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Tugboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Tugboat"
]
} | {
"ori_file_path": "31__19_07_13_RemolcadorArrancaPara.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 30__19_07_13_practico2_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/30__19_07_13_practico2_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Pilot boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Pilot boat"
]
} | {
"ori_file_path": "30__19_07_13_practico2.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 24__19_07_13_adventureFrenando_duda_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/24__19_07_13_adventureFrenando_duda_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Ocean liner. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Ocean liner"
]
} | {
"ori_file_path": "24__19_07_13_adventureFrenando_duda.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 22__19_07_13_adventure_maniobra_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/22__19_07_13_adventure_maniobra_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Ocean liner. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Ocean liner"
]
} | {
"ori_file_path": "22__19_07_13_adventure_maniobra.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 22__19_07_13_adventure_maniobra_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/22__19_07_13_adventure_maniobra_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Ocean liner. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Ocean liner"
]
} | {
"ori_file_path": "22__19_07_13_adventure_maniobra.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 35__19_07_13_MarDeOnza_sale_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/35__19_07_13_MarDeOnza_sale_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "35__19_07_13_MarDeOnza_sale.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 35__19_07_13_MarDeOnza_sale_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/35__19_07_13_MarDeOnza_sale_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "35__19_07_13_MarDeOnza_sale.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 35__19_07_13_MarDeOnza_sale_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/35__19_07_13_MarDeOnza_sale_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "35__19_07_13_MarDeOnza_sale.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 35__19_07_13_MarDeOnza_sale_seg3 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/35__19_07_13_MarDeOnza_sale_seg3.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "35__19_07_13_MarDeOnza_sale.wav",
"seg_index": 3
} |
ShipsEar | ShipsEar | 35__19_07_13_MarDeOnza_sale_seg4 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/35__19_07_13_MarDeOnza_sale_seg4.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "35__19_07_13_MarDeOnza_sale.wav",
"seg_index": 4
} |
ShipsEar | ShipsEar | 54__23_07_13_H3_PirataSalvora_SALE1_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/54__23_07_13_H3_PirataSalvora_SALE1_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "54__23_07_13_H3_PirataSalvora_SALE1.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 54__23_07_13_H3_PirataSalvora_SALE1_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/54__23_07_13_H3_PirataSalvora_SALE1_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "54__23_07_13_H3_PirataSalvora_SALE1.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 54__23_07_13_H3_PirataSalvora_SALE1_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/54__23_07_13_H3_PirataSalvora_SALE1_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "54__23_07_13_H3_PirataSalvora_SALE1.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 56__23_07_13_H3_velero1_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/56__23_07_13_H3_velero1_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Sailboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Sailboat"
]
} | {
"ori_file_path": "56__23_07_13_H3_velero1.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 56__23_07_13_H3_velero1_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/56__23_07_13_H3_velero1_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Sailboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Sailboat"
]
} | {
"ori_file_path": "56__23_07_13_H3_velero1.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 51__23_07_13_H3_lancha2_interf_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/51__23_07_13_H3_lancha2_interf_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Motorboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Motorboat"
]
} | {
"ori_file_path": "51__23_07_13_H3_lancha2_interf.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 51__23_07_13_H3_lancha2_interf_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/51__23_07_13_H3_lancha2_interf_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Motorboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Motorboat"
]
} | {
"ori_file_path": "51__23_07_13_H3_lancha2_interf.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 51__23_07_13_H3_lancha2_interf_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/51__23_07_13_H3_lancha2_interf_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Motorboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Motorboat"
]
} | {
"ori_file_path": "51__23_07_13_H3_lancha2_interf.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 51__23_07_13_H3_lancha2_interf_seg3 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/51__23_07_13_H3_lancha2_interf_seg3.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Motorboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Motorboat"
]
} | {
"ori_file_path": "51__23_07_13_H3_lancha2_interf.wav",
"seg_index": 3
} |
ShipsEar | ShipsEar | 51__23_07_13_H3_lancha2_interf_seg4 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/51__23_07_13_H3_lancha2_interf_seg4.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Motorboat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Motorboat"
]
} | {
"ori_file_path": "51__23_07_13_H3_lancha2_interf.wav",
"seg_index": 4
} |
ShipsEar | ShipsEar | 66__23_07_13_H3_Pesquerito2_Velero_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/66__23_07_13_H3_Pesquerito2_Velero_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Mussel boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Mussel boat"
]
} | {
"ori_file_path": "66__23_07_13_H3_Pesquerito2_Velero.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 66__23_07_13_H3_Pesquerito2_Velero_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/66__23_07_13_H3_Pesquerito2_Velero_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Mussel boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Mussel boat"
]
} | {
"ori_file_path": "66__23_07_13_H3_Pesquerito2_Velero.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 66__23_07_13_H3_Pesquerito2_Velero_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/66__23_07_13_H3_Pesquerito2_Velero_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Mussel boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Mussel boat"
]
} | {
"ori_file_path": "66__23_07_13_H3_Pesquerito2_Velero.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 66__23_07_13_H3_Pesquerito2_Velero_seg3 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/66__23_07_13_H3_Pesquerito2_Velero_seg3.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Mussel boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Mussel boat"
]
} | {
"ori_file_path": "66__23_07_13_H3_Pesquerito2_Velero.wav",
"seg_index": 3
} |
ShipsEar | ShipsEar | 66__23_07_13_H3_Pesquerito2_Velero_seg4 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/66__23_07_13_H3_Pesquerito2_Velero_seg4.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Mussel boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Mussel boat"
]
} | {
"ori_file_path": "66__23_07_13_H3_Pesquerito2_Velero.wav",
"seg_index": 4
} |
ShipsEar | ShipsEar | 66__23_07_13_H3_Pesquerito2_Velero_seg5 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/66__23_07_13_H3_Pesquerito2_Velero_seg5.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Mussel boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Mussel boat"
]
} | {
"ori_file_path": "66__23_07_13_H3_Pesquerito2_Velero.wav",
"seg_index": 5
} |
ShipsEar | ShipsEar | 66__23_07_13_H3_Pesquerito2_Velero_seg6 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/66__23_07_13_H3_Pesquerito2_Velero_seg6.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Mussel boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Mussel boat"
]
} | {
"ori_file_path": "66__23_07_13_H3_Pesquerito2_Velero.wav",
"seg_index": 6
} |
ShipsEar | ShipsEar | 66__23_07_13_H3_Pesquerito2_Velero_seg7 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/66__23_07_13_H3_Pesquerito2_Velero_seg7.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Mussel boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Mussel boat"
]
} | {
"ori_file_path": "66__23_07_13_H3_Pesquerito2_Velero.wav",
"seg_index": 7
} |
ShipsEar | ShipsEar | 66__23_07_13_H3_Pesquerito2_Velero_seg8 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/66__23_07_13_H3_Pesquerito2_Velero_seg8.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Mussel boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Mussel boat"
]
} | {
"ori_file_path": "66__23_07_13_H3_Pesquerito2_Velero.wav",
"seg_index": 8
} |
ShipsEar | ShipsEar | 61__23_07_13_H3_MarDeCangas_SALE-2_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/61__23_07_13_H3_MarDeCangas_SALE-2_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "61__23_07_13_H3_MarDeCangas_SALE-2.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 61__23_07_13_H3_MarDeCangas_SALE-2_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/61__23_07_13_H3_MarDeCangas_SALE-2_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "61__23_07_13_H3_MarDeCangas_SALE-2.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 61__23_07_13_H3_MarDeCangas_SALE-2_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/61__23_07_13_H3_MarDeCangas_SALE-2_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "61__23_07_13_H3_MarDeCangas_SALE-2.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 61__23_07_13_H3_MarDeCangas_SALE-2_seg3 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/61__23_07_13_H3_MarDeCangas_SALE-2_seg3.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "61__23_07_13_H3_MarDeCangas_SALE-2.wav",
"seg_index": 3
} |
ShipsEar | ShipsEar | 61__23_07_13_H3_MarDeCangas_SALE-2_seg4 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/61__23_07_13_H3_MarDeCangas_SALE-2_seg4.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "61__23_07_13_H3_MarDeCangas_SALE-2.wav",
"seg_index": 4
} |
ShipsEar | ShipsEar | 61__23_07_13_H3_MarDeCangas_SALE-2_seg5 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/61__23_07_13_H3_MarDeCangas_SALE-2_seg5.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "61__23_07_13_H3_MarDeCangas_SALE-2.wav",
"seg_index": 5
} |
ShipsEar | ShipsEar | 61__23_07_13_H3_MarDeCangas_SALE-2_seg6 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/61__23_07_13_H3_MarDeCangas_SALE-2_seg6.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "61__23_07_13_H3_MarDeCangas_SALE-2.wav",
"seg_index": 6
} |
ShipsEar | ShipsEar | 61__23_07_13_H3_MarDeCangas_SALE-2_seg7 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/61__23_07_13_H3_MarDeCangas_SALE-2_seg7.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Passenger ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Passenger ship"
]
} | {
"ori_file_path": "61__23_07_13_H3_MarDeCangas_SALE-2.wav",
"seg_index": 7
} |
ShipsEar | ShipsEar | 75__23_07_13_H3_pesquero1_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/75__23_07_13_H3_pesquero1_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Fish boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Fish boat"
]
} | {
"ori_file_path": "75__23_07_13_H3_pesquero1.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 75__23_07_13_H3_pesquero1_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/75__23_07_13_H3_pesquero1_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Fish boat. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Fish boat"
]
} | {
"ori_file_path": "75__23_07_13_H3_pesquero1.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg3 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg3.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 3
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg4 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg4.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 4
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg5 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg5.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 5
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg6 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg6.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 6
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg7 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg7.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 7
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg8 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg8.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 8
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg9 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg9.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 9
} |
ShipsEar | ShipsEar | 78__23_07_13_H3_vikingChance_seg10 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/78__23_07_13_H3_vikingChance_seg10.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as RORO ship. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"RORO ship"
]
} | {
"ori_file_path": "78__23_07_13_H3_vikingChance.wav",
"seg_index": 10
} |
ShipsEar | ShipsEar | 85__E__1L_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/85__E__1L_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "85__E__1L.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 85__E__1L_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/85__E__1L_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "85__E__1L.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 85__E__1L_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/85__E__1L_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "85__E__1L.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 85__E__1L_seg3 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/85__E__1L_seg3.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "85__E__1L.wav",
"seg_index": 3
} |
ShipsEar | ShipsEar | 88__E__4L_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/88__E__4L_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "88__E__4L.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 88__E__4L_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/88__E__4L_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "88__E__4L.wav",
"seg_index": 1
} |
ShipsEar | ShipsEar | 88__E__4L_seg2 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/88__E__4L_seg2.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "88__E__4L.wav",
"seg_index": 2
} |
ShipsEar | ShipsEar | 88__E__4L_seg3 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/88__E__4L_seg3.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "88__E__4L.wav",
"seg_index": 3
} |
ShipsEar | ShipsEar | 88__E__4L_seg4 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/88__E__4L_seg4.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "88__E__4L.wav",
"seg_index": 4
} |
ShipsEar | ShipsEar | 81__25_09_13_H3_corriente_seg0 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/81__25_09_13_H3_corriente_seg0.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "81__25_09_13_H3_corriente.wav",
"seg_index": 0
} |
ShipsEar | ShipsEar | 81__25_09_13_H3_corriente_seg1 | wav | {
"num_channel": 1,
"channel_detail": [],
"path": "Underwater_Acoustics-ShipsEar-Vessel_And_Sound_Source_Classification/raw_input/81__25_09_13_H3_corriente_seg1.wav",
"length": 1582020,
"timestamps": [],
"fs": 52734
} | Given an underwater acoustic recording from the ShipsEar dataset, which is an underwater vessel noise database collected in real-world environments, classify the vessel or sound source into one of the following 12 categories: Fish boat, Trawler, Mussel boat, Tugboat, Dredger, Motorboat, Pilot boat, Sailboat, Passenger ... | Based on the acoustic recording, the sound source is classified as Natural ambient noise. | {
"class_list": [
"Fish boat",
"Trawler",
"Mussel boat",
"Tugboat",
"Dredger",
"Motorboat",
"Pilot boat",
"Sailboat",
"Passenger ship",
"Ocean liner",
"RORO ship",
"Natural ambient noise"
],
"gt_class": [
"Natural ambient noise"
]
} | {
"ori_file_path": "81__25_09_13_H3_corriente.wav",
"seg_index": 1
} |
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