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 |
|---|---|---|---|---|---|---|---|---|
MarmAudio | MarmAudio | 329730 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_3_10_Seep_329730.flac",
"length": 62400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Seep. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Seep"
]
} | {} |
MarmAudio | MarmAudio | 419822 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_10_2_Phee_419822.flac",
"length": 139200,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Phee. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Phee"
]
} | {} |
MarmAudio | MarmAudio | 31590 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_1_3_Phee_31590.flac",
"length": 177600,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Phee. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Phee"
]
} | {} |
MarmAudio | MarmAudio | 717590 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2020_10_3_Trill_717590.flac",
"length": 100800,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Trill. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Trill"
]
} | {} |
MarmAudio | MarmAudio | 167990 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_3_1_Phee_167990.flac",
"length": 110400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Phee. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Phee"
]
} | {} |
MarmAudio | MarmAudio | 739708 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2023_4_3_Phee_739708.flac",
"length": 148800,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Phee. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Phee"
]
} | {} |
MarmAudio | MarmAudio | 660121 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2020_11_1_Tsik_660121.flac",
"length": 81600,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Tsik. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Tsik"
]
} | {} |
MarmAudio | MarmAudio | 251135 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_4_1_Trill_251135.flac",
"length": 96000,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Trill. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Trill"
]
} | {} |
MarmAudio | MarmAudio | 868149 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2020_11_3_Seep_868149.flac",
"length": 62400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Seep. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Seep"
]
} | {} |
MarmAudio | MarmAudio | 806704 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2023_4_5_Trill_806704.flac",
"length": 91200,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Trill. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Trill"
]
} | {} |
MarmAudio | MarmAudio | 475392 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_4_6_Twitter_475392.flac",
"length": 158400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Twitter. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Twitter"
]
} | {} |
MarmAudio | MarmAudio | 465712 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_4_5_Phee_465712.flac",
"length": 110400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Phee. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Phee"
]
} | {} |
MarmAudio | MarmAudio | 594447 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2020_10_1_Infant_cry_594447.flac",
"length": 86400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Infant_cry. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Infant_cry"
]
} | {} |
MarmAudio | MarmAudio | 355954 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2020_1_1_Seep_355954.flac",
"length": 72000,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Seep. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Seep"
]
} | {} |
MarmAudio | MarmAudio | 524184 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2023_3_0_Phee_524184.flac",
"length": 158400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Phee. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Phee"
]
} | {} |
MarmAudio | MarmAudio | 437308 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_9_1_Twitter_437308.flac",
"length": 100800,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Twitter. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Twitter"
]
} | {} |
MarmAudio | MarmAudio | 332615 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_3_10_Twitter_332615.flac",
"length": 100800,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Twitter. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Twitter"
]
} | {} |
MarmAudio | MarmAudio | 628314 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2021_1_1_Infant_cry_628314.flac",
"length": 86400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Infant_cry. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Infant_cry"
]
} | {} |
MarmAudio | MarmAudio | 383286 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_4_1_Twitter_383286.flac",
"length": 129600,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Twitter. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Twitter"
]
} | {} |
MarmAudio | MarmAudio | 299965 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_3_7_Trill_299965.flac",
"length": 148800,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Trill. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Trill"
]
} | {} |
MarmAudio | MarmAudio | 531940 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2023_4_1_Trill_531940.flac",
"length": 100800,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Trill. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Trill"
]
} | {} |
MarmAudio | MarmAudio | 473834 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_4_6_Infant_cry_473834.flac",
"length": 86400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Infant_cry. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Infant_cry"
]
} | {} |
MarmAudio | MarmAudio | 409628 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_4_3_Trill_409628.flac",
"length": 129600,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Trill. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Trill"
]
} | {} |
MarmAudio | MarmAudio | 623889 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2020_10_2_Trill_623889.flac",
"length": 91200,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Trill. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Trill"
]
} | {} |
MarmAudio | MarmAudio | 869766 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2020_11_3_Seep_869766.flac",
"length": 72000,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Seep. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Seep"
]
} | {} |
MarmAudio | MarmAudio | 844416 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2023_4_9_Twitter_844416.flac",
"length": 110400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Twitter. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Twitter"
]
} | {} |
MarmAudio | MarmAudio | 278688 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_3_6_Trill_278688.flac",
"length": 144000,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Trill. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Trill"
]
} | {} |
MarmAudio | MarmAudio | 770396 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2023_3_5_Tsik_770396.flac",
"length": 72000,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Tsik. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Tsik"
]
} | {} |
MarmAudio | MarmAudio | 643271 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2020_2_1_Twitter_643271.flac",
"length": 110400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Twitter. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Twitter"
]
} | {} |
MarmAudio | MarmAudio | 443323 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_9_1_Trill_443323.flac",
"length": 110400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Trill. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Trill"
]
} | {} |
MarmAudio | MarmAudio | 137811 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_2_7_Twitter_137811.flac",
"length": 168000,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Twitter. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Twitter"
]
} | {} |
MarmAudio | MarmAudio | 267073 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_3_5_Phee_267073.flac",
"length": 120000,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Phee. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Phee"
]
} | {} |
MarmAudio | MarmAudio | 279463 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_12_1_Tsik_279463.flac",
"length": 76800,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Tsik. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Tsik"
]
} | {} |
MarmAudio | MarmAudio | 220995 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_3_5_Infant_cry_220995.flac",
"length": 86400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Infant_cry. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Infant_cry"
]
} | {} |
MarmAudio | MarmAudio | 212233 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2022_3_4_Infant_cry_212233.flac",
"length": 86400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Infant_cry. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Infant_cry"
]
} | {} |
MarmAudio | MarmAudio | 665138 | flac | {
"num_channel": 1,
"channel_detail": [],
"path": "Bioacoustics-MarmAudio-Marmoset_Vocalisation-Classification/raw_input/2020_11_1_Seep_665138.flac",
"length": 62400,
"timestamps": [],
"fs": 96000
} | Now, I need your assistance to complete a marmoset classification task. The provided audio is a recording of a marmoset call. It is known that the provided data corresponds to one of the following categories: Twitter, Tsik, Phee, Trill, Infant_cry or Seep. Please determine which of the following call types it belongs t... | This audio is classified as Seep. | {
"class_list": [
"Twitter",
"Tsik",
"Phee",
"Trill",
"Infant_cry",
"Seep"
],
"gt_class": [
"Seep"
]
} | {} |
SDUST_bear | SDUST | OF0.4_OF0.4_2500_60_channel3_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.4_OF0.4_2500_60_channel3_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.4"
]
} | {
"original_filename": "OF0.4_OF0.4_2500_60_channel3_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.2_OF0.2_800~1500_0_channel1_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.2_OF0.2_800~1500_0_channel1_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.2"
]
} | {
"original_filename": "OF0.2_OF0.2_800~1500_0_channel1_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_800~1500_0_channel3_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_800~1500_0_channel3_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_800~1500_0_channel3_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_1800_20_channel4_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_1800_20_channel4_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_1800_20_channel4_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.2_IF0.2_1000_60_channel1_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.2_IF0.2_1000_60_channel1_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.2"
]
} | {
"original_filename": "IF0.2_IF0.2_1000_60_channel1_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.2_OF0.2_1000_60_channel3_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.2_OF0.2_1000_60_channel3_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.2"
]
} | {
"original_filename": "OF0.2_OF0.2_1000_60_channel3_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | NC_NC_1500_20_channel6_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/NC_NC_1500_20_channel6_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: NC | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"NC"
]
} | {
"original_filename": "NC_NC_1500_20_channel6_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.4_RF0.4_800~1500_20_channel5_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.4_RF0.4_800~1500_20_channel5_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.4"
]
} | {
"original_filename": "RF0.4_RF0.4_800~1500_20_channel5_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.6_IF0.6_800~1500_20_channel2_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.6_IF0.6_800~1500_20_channel2_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.6"
]
} | {
"original_filename": "IF0.6_IF0.6_800~1500_20_channel2_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.6_RF0.6_1500~2500_60_channel3_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.6_RF0.6_1500~2500_60_channel3_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.6"
]
} | {
"original_filename": "RF0.6_RF0.6_1500~2500_60_channel3_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.6_IF0.6_800~1500_40_channel2_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.6_IF0.6_800~1500_40_channel2_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.6"
]
} | {
"original_filename": "IF0.6_IF0.6_800~1500_40_channel2_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.2_OF0.2_1000_0_channel2_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.2_OF0.2_1000_0_channel2_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.2"
]
} | {
"original_filename": "OF0.2_OF0.2_1000_0_channel2_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.6_OF0.6_1500_40_channel5_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.6_OF0.6_1500_40_channel5_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.6"
]
} | {
"original_filename": "OF0.6_OF0.6_1500_40_channel5_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_2500_0_channel3_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_2500_0_channel3_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_2500_0_channel3_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.4_OF0.4_1000~2000_20_channel4_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.4_OF0.4_1000~2000_20_channel4_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.4"
]
} | {
"original_filename": "OF0.4_OF0.4_1000~2000_20_channel4_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_2000_40_channel2_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_2000_40_channel2_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_2000_40_channel2_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.4_RF0.4_1500_0_channel2_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.4_RF0.4_1500_0_channel2_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.4"
]
} | {
"original_filename": "RF0.4_RF0.4_1500_0_channel2_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.4_OF0.4_2500_20_channel4_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.4_OF0.4_2500_20_channel4_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.4"
]
} | {
"original_filename": "OF0.4_OF0.4_2500_20_channel4_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.4_RF0.4_1500~2500_0_channel6_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.4_RF0.4_1500~2500_0_channel6_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.4"
]
} | {
"original_filename": "RF0.4_RF0.4_1500~2500_0_channel6_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.6_IF0.6_1500_40_channel5_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.6_IF0.6_1500_40_channel5_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.6"
]
} | {
"original_filename": "IF0.6_IF0.6_1500_40_channel5_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | NC_NC_1500~2500_40_2_channel4_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/NC_NC_1500~2500_40_2_channel4_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: NC | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"NC"
]
} | {
"original_filename": "NC_NC_1500~2500_40_2_channel4_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.6_OF0.6_1000_40_channel1_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.6_OF0.6_1000_40_channel1_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.6"
]
} | {
"original_filename": "OF0.6_OF0.6_1000_40_channel1_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.2_OF0.2_1000~2000_40_channel4_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.2_OF0.2_1000~2000_40_channel4_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.2"
]
} | {
"original_filename": "OF0.2_OF0.2_1000~2000_40_channel4_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.2_IF0.2_1000~2000_0_channel4_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.2_IF0.2_1000~2000_0_channel4_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.2"
]
} | {
"original_filename": "IF0.2_IF0.2_1000~2000_0_channel4_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | NC_NC_2000_20_channel4_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/NC_NC_2000_20_channel4_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: NC | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"NC"
]
} | {
"original_filename": "NC_NC_2000_20_channel4_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.4_RF0.4_2000_60_channel2_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.4_RF0.4_2000_60_channel2_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.4"
]
} | {
"original_filename": "RF0.4_RF0.4_2000_60_channel2_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.4_IF0.4_3000_0_channel4_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.4_IF0.4_3000_0_channel4_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.4"
]
} | {
"original_filename": "IF0.4_IF0.4_3000_0_channel4_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.4_RF0.4_1000~2000_0_channel4_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.4_RF0.4_1000~2000_0_channel4_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.4"
]
} | {
"original_filename": "RF0.4_RF0.4_1000~2000_0_channel4_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.6_IF0.6_800~1500_40_channel5_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.6_IF0.6_800~1500_40_channel5_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.6"
]
} | {
"original_filename": "IF0.6_IF0.6_800~1500_40_channel5_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.2_IF0.2_1800_40_channel1_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.2_IF0.2_1800_40_channel1_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.2"
]
} | {
"original_filename": "IF0.2_IF0.2_1800_40_channel1_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.2_OF0.2_3000_40_channel3_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.2_OF0.2_3000_40_channel3_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.2"
]
} | {
"original_filename": "OF0.2_OF0.2_3000_40_channel3_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.6_OF0.6_1500_20_channel5_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.6_OF0.6_1500_20_channel5_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.6"
]
} | {
"original_filename": "OF0.6_OF0.6_1500_20_channel5_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.6_RF0.6_1000~2000_40_channel5_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.6_RF0.6_1000~2000_40_channel5_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.6"
]
} | {
"original_filename": "RF0.6_RF0.6_1000~2000_40_channel5_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.4_IF0.4_2000_0_channel1_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.4_IF0.4_2000_0_channel1_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.4"
]
} | {
"original_filename": "IF0.4_IF0.4_2000_0_channel1_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.4_OF0.4_2000_20_channel3_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.4_OF0.4_2000_20_channel3_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.4"
]
} | {
"original_filename": "OF0.4_OF0.4_2000_20_channel3_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.4_OF0.4_1797_0_channel6_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.4_OF0.4_1797_0_channel6_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.4"
]
} | {
"original_filename": "OF0.4_OF0.4_1797_0_channel6_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.4_RF0.4_1797_0_channel4_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.4_RF0.4_1797_0_channel4_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.4"
]
} | {
"original_filename": "RF0.4_RF0.4_1797_0_channel4_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.2_OF0.2_2500_20_channel2_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.2_OF0.2_2500_20_channel2_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.2"
]
} | {
"original_filename": "OF0.2_OF0.2_2500_20_channel2_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.4_IF0.4_1800_0_channel2_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.4_IF0.4_1800_0_channel2_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.4"
]
} | {
"original_filename": "IF0.4_IF0.4_1800_0_channel2_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | NC_NC_1000~2000_60_2_channel5_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/NC_NC_1000~2000_60_2_channel5_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: NC | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"NC"
]
} | {
"original_filename": "NC_NC_1000~2000_60_2_channel5_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.4_IF0.4_800~1500_60_channel2_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.4_IF0.4_800~1500_60_channel2_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.4"
]
} | {
"original_filename": "IF0.4_IF0.4_800~1500_60_channel2_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.4_OF0.4_1800_0_channel2_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.4_OF0.4_1800_0_channel2_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.4"
]
} | {
"original_filename": "OF0.4_OF0.4_1800_0_channel2_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.6_RF0.6_1000~2000_40_channel4_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.6_RF0.6_1000~2000_40_channel4_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.6"
]
} | {
"original_filename": "RF0.6_RF0.6_1000~2000_40_channel4_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | NC_NC_800~1500_60_2_channel4_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/NC_NC_800~1500_60_2_channel4_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: NC | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"NC"
]
} | {
"original_filename": "NC_NC_800~1500_60_2_channel4_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_1000~2000_20_channel6_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_1000~2000_20_channel6_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_1000~2000_20_channel6_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_1000~2000_40_channel4_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_1000~2000_40_channel4_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_1000~2000_40_channel4_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.4_IF0.4_800~1500_0_channel6_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.4_IF0.4_800~1500_0_channel6_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.4"
]
} | {
"original_filename": "IF0.4_IF0.4_800~1500_0_channel6_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.4_RF0.4_1800_0_channel2_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.4_RF0.4_1800_0_channel2_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.4"
]
} | {
"original_filename": "RF0.4_RF0.4_1800_0_channel2_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | NC_NC_2500_60_channel4_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/NC_NC_2500_60_channel4_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: NC | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"NC"
]
} | {
"original_filename": "NC_NC_2500_60_channel4_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | NC_NC_1500~2500_40_2_channel1_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/NC_NC_1500~2500_40_2_channel1_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: NC | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"NC"
]
} | {
"original_filename": "NC_NC_1500~2500_40_2_channel1_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.6_OF0.6_1000_60_channel3_ch0_1 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.6_OF0.6_1000_60_channel3_ch0_1.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.6"
]
} | {
"original_filename": "OF0.6_OF0.6_1000_60_channel3_ch0_1.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | NC_NC_1500~2500_60_1_channel3_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/NC_NC_1500~2500_60_1_channel3_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: NC | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"NC"
]
} | {
"original_filename": "NC_NC_1500~2500_60_1_channel3_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_1500_0_channel4_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_1500_0_channel4_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_1500_0_channel4_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.4_OF0.4_800~1500_60_channel4_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.4_OF0.4_800~1500_60_channel4_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.4"
]
} | {
"original_filename": "OF0.4_OF0.4_800~1500_60_channel4_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.6_IF0.6_1500~2500_0_channel2_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.6_IF0.6_1500~2500_0_channel2_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.6"
]
} | {
"original_filename": "IF0.6_IF0.6_1500~2500_0_channel2_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.4_RF0.4_1000~2000_40_channel1_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.4_RF0.4_1000~2000_40_channel1_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.4"
]
} | {
"original_filename": "RF0.4_RF0.4_1000~2000_40_channel1_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_1500_60_channel4_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_1500_60_channel4_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_1500_60_channel4_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.2_IF0.2_1797_0_channel5_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.2_IF0.2_1797_0_channel5_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.2"
]
} | {
"original_filename": "IF0.2_IF0.2_1797_0_channel5_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.6_OF0.6_1500-2500_40_channel1_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.6_OF0.6_1500-2500_40_channel1_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.6 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.6"
]
} | {
"original_filename": "OF0.6_OF0.6_1500-2500_40_channel1_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_800~1500_20_channel2_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_800~1500_20_channel2_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_800~1500_20_channel2_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | OF0.4_OF0.4_3000_0_channel6_ch0_0 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/OF0.4_OF0.4_3000_0_channel6_ch0_0.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: OF0.4 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"OF0.4"
]
} | {
"original_filename": "OF0.4_OF0.4_3000_0_channel6_ch0_0.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | IF0.2_IF0.2_800~1500_20_channel4_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/IF0.2_IF0.2_800~1500_20_channel4_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: IF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"IF0.2"
]
} | {
"original_filename": "IF0.2_IF0.2_800~1500_20_channel4_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_3000_0_channel3_ch0_3 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_3000_0_channel3_ch0_3.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_3000_0_channel3_ch0_3.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
SDUST_bear | SDUST | RF0.2_RF0.2_1500~2500_60_channel6_ch0_2 | wav | {
"num_channel": 1,
"channel_detail": [
""
],
"path": "Manufacturing-SDUST_bear-Vibration_Fault_Diagnosis/raw_input/RF0.2_RF0.2_1500~2500_60_channel6_ch0_2.wav",
"length": 256000,
"timestamps": [],
"fs": 25600
} | Now, I need your assistance to complete a fault classification task. This is a bearing fault diagnosis task. It is known that the provided vibration signal sample corresponds to one of the following categories: NC, IF0.2, IF0.4, IF0.6, OF0.2, OF0.4, OF0.6, RF0.2, RF0.4, RF0.6. Please identify the classification result ... | The classification result is: RF0.2 | {
"class_list": [
"NC",
"IF0.2",
"IF0.4",
"IF0.6",
"OF0.2",
"OF0.4",
"OF0.6",
"RF0.2",
"RF0.4",
"RF0.6"
],
"gt_class": [
"RF0.2"
]
} | {
"original_filename": "RF0.2_RF0.2_1500~2500_60_channel6_ch0_2.wav",
"file_format": ".wav",
"sample_width": 2,
"n_channels": 1
} |
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