Dataset Viewer
audio
audioduration (s) 5
11
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stringlengths 15
21
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stringclasses 22
values | label
stringlengths 58
1.8k
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-0H7vrzA80U_4_14
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Mark and document the time intervals of sound events in the audio file. The events include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 0.517, 'offset': 1.757}, {'event_label': 'Cat', 'onset': 2.806, 'offset': 3.641}, {'event_label': 'Cat', 'onset': 4.38, 'offset': 6.232}, {'event_label': 'Cat', 'onset': 6.804, 'offset': 7.832}, {'event_label': 'Cat', 'onset': 8.519, 'offset': 9.462}]
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-EIf0pkjwm8_22_32
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Detect and document intervals of specified sound events in the audio. Events to detect: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Alarm_bell_ringing', 'onset': 2.004, 'offset': 4.934}, {'event_label': 'Dog', 'onset': 2.467, 'offset': 2.717}, {'event_label': 'Alarm_bell_ringing', 'onset': 7.413, 'offset': 10.0}, {'event_label': 'Dog', 'onset': 7.428, 'offset': 7.678}]
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-uQVTqZ1MAQ_35_45
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Find and annotate the occurrences of different sound events within the audio file. Categories to recognize are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 2.566}, {'event_label': 'Blender', 'onset': 1.647, 'offset': 6.414}, {'event_label': 'Speech', 'onset': 2.726, 'offset': 6.866}, {'event_label': 'Speech', 'onset': 7.114, 'offset': 9.3}, {'event_label': 'Speech', 'onset': 9.526, 'offset': 10.0}]
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-vVpo679xac_4_14
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Identify the time boundaries of sound events in the given audio clip. The sound events are limited to the following 10 types: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Running_water', 'onset': 0.707, 'offset': 1.968}, {'event_label': 'Running_water', 'onset': 2.15, 'offset': 4.089}, {'event_label': 'Running_water', 'onset': 4.614, 'offset': 6.006}, {'event_label': 'Running_water', 'onset': 6.334, 'offset': 8.229}, {'event_label': 'Running_water', 'onset': 8.717, 'offset': 8.967}]
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06gFpwTehEM_0_10
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Detect and document intervals of specified sound events in the audio. Events to detect: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Alarm_bell_ringing', 'onset': 0.109, 'offset': 2.722}, {'event_label': 'Alarm_bell_ringing', 'onset': 4.421, 'offset': 5.984}, {'event_label': 'Alarm_bell_ringing', 'onset': 7.476, 'offset': 10.0}]
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0BYDGId5pdo_0_10
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Identify and record timing for sound events in the provided audio. Categories to identify are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Vacuum_cleaner', 'onset': 0.517, 'offset': 2.763}, {'event_label': 'Speech', 'onset': 1.288, 'offset': 2.116}, {'event_label': 'Speech', 'onset': 2.763, 'offset': 4.573}, {'event_label': 'Speech', 'onset': 4.728, 'offset': 6.562}, {'event_label': 'Speech', 'onset': 6.924, 'offset': 8.767}, {'event_label': 'Vacuum_cleaner', 'onset': 9.048, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 9.75, 'offset': 10.0}]
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0B_FmLiGad0_117_127
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Identify and timestamp occurrences of sound types within the audio clip. The sound events are categorized as: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Electric_shaver_toothbrush', 'onset': 1.057, 'offset': 5.197}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 6.474, 'offset': 7.573}]
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0DEKat97psc_27_37
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Detect and record the start and end times of sound events in the audio. Events to be identified are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Dog', 'onset': 1.033, 'offset': 1.327}, {'event_label': 'Dog', 'onset': 1.797, 'offset': 2.139}, {'event_label': 'Dog', 'onset': 3.029, 'offset': 3.318}, {'event_label': 'Dog', 'onset': 3.878, 'offset': 4.156}, {'event_label': 'Dog', 'onset': 4.532, 'offset': 5.692}, {'event_label': 'Dog', 'onset': 6.412, 'offset': 6.711}, {'event_label': 'Dog', 'onset': 7.365, 'offset': 7.718}, {'event_label': 'Dog', 'onset': 8.265, 'offset': 8.588}, {'event_label': 'Dog', 'onset': 9.242, 'offset': 10.0}]
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0eJ5Fwo2hrM_118_128
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Mark the start and end times of the detected sound events in the given audio file. The events are categorized as: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 1.56, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 3.453, 'offset': 5.794}, {'event_label': 'Dishes', 'onset': 6.467, 'offset': 6.717}, {'event_label': 'Dishes', 'onset': 8.947, 'offset': 9.214}, {'event_label': 'Speech', 'onset': 9.382, 'offset': 10.0}]
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0qo-ZXw2k-4_21_31
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Pinpoint and annotate sound occurrences in the audio clip. Event categories are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Vacuum_cleaner', 'onset': 0.911, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 1.764, 'offset': 6.421}, {'event_label': 'Speech', 'onset': 6.754, 'offset': 9.439}, {'event_label': 'Speech', 'onset': 9.75, 'offset': 10.0}]
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12Dnv8nDcdc_300_310
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Locate and annotate the intervals of sound events within the audio clip. Recognized types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 0.488}, {'event_label': 'Dog', 'onset': 0.702, 'offset': 0.952}, {'event_label': 'Dog', 'onset': 1.106, 'offset': 1.578}, {'event_label': 'Speech', 'onset': 1.671, 'offset': 7.802}, {'event_label': 'Dog', 'onset': 1.778, 'offset': 2.108}, {'event_label': 'Dog', 'onset': 2.91, 'offset': 3.202}, {'event_label': 'Dog', 'onset': 5.009, 'offset': 5.341}, {'event_label': 'Dog', 'onset': 6.341, 'offset': 7.07}, {'event_label': 'Speech', 'onset': 8.211, 'offset': 10.0}, {'event_label': 'Dog', 'onset': 9.585, 'offset': 9.835}]
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13OkKMqxWjU_60_70
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Pinpoint and annotate sound occurrences in the audio clip. Event categories are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 3.353}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 3.214, 'offset': 8.994}, {'event_label': 'Speech', 'onset': 3.761, 'offset': 8.448}, {'event_label': 'Speech', 'onset': 8.994, 'offset': 10.0}]
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1LKP1ZyHgVg_0_10
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Pinpoint and annotate sound occurrences in the audio clip. Event categories are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 1.017, 'offset': 1.866}, {'event_label': 'Cat', 'onset': 3.285, 'offset': 4.005}, {'event_label': 'Cat', 'onset': 5.296, 'offset': 6.232}, {'event_label': 'Cat', 'onset': 7.709, 'offset': 8.798}]
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1Ro0FgMWTUE_120_130
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Please mark the start and end times of sound events in the audio clip. The events include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 2.081}, {'event_label': 'Speech', 'onset': 2.618, 'offset': 4.679}, {'event_label': 'Frying', 'onset': 3.847, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 6.771, 'offset': 7.715}, {'event_label': 'Dishes', 'onset': 7.861, 'offset': 8.247}, {'event_label': 'Dishes', 'onset': 8.517, 'offset': 8.767}, {'event_label': 'Speech', 'onset': 9.33, 'offset': 10.0}]
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1S4Oa9ERcHU_3_13
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Please mark the start and end times of sound events in the audio clip. The events include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 1.472, 'offset': 3.112}, {'event_label': 'Cat', 'onset': 5.722, 'offset': 7.092}, {'event_label': 'Alarm_bell_ringing', 'onset': 7.31, 'offset': 8.557}]
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1gb4ATePtAM_100_110
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Detect and label sound events within the audio. Categories of sound events are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 0.0, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 0.0, 'offset': 2.983}, {'event_label': 'Dishes', 'onset': 1.582, 'offset': 3.386}, {'event_label': 'Speech', 'onset': 3.294, 'offset': 4.269}, {'event_label': 'Speech', 'onset': 4.459, 'offset': 5.2}, {'event_label': 'Dishes', 'onset': 5.889, 'offset': 6.39}, {'event_label': 'Dishes', 'onset': 6.644, 'offset': 6.894}, {'event_label': 'Speech', 'onset': 7.063, 'offset': 8.233}, {'event_label': 'Dishes', 'onset': 8.635, 'offset': 9.085}, {'event_label': 'Dishes', 'onset': 9.345, 'offset': 9.697}]
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28J2wfnCVwI_85_95
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Detect and label sound events within the audio. Categories of sound events are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.343, 'offset': 2.026}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 1.086, 'offset': 5.129}, {'event_label': 'Speech', 'onset': 3.91, 'offset': 5.286}, {'event_label': 'Speech', 'onset': 5.863, 'offset': 6.278}, {'event_label': 'Speech', 'onset': 6.464, 'offset': 8.534}, {'event_label': 'Speech', 'onset': 8.971, 'offset': 10.0}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 9.38, 'offset': 10.0}]
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2MN7pxnGG4g_0_10
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Identify and record timing for sound events in the provided audio. Categories to identify are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Alarm_bell_ringing', 'onset': 0.656, 'offset': 1.45}, {'event_label': 'Alarm_bell_ringing', 'onset': 2.267, 'offset': 3.351}, {'event_label': 'Speech', 'onset': 3.87, 'offset': 4.322}, {'event_label': 'Alarm_bell_ringing', 'onset': 4.27, 'offset': 5.312}, {'event_label': 'Alarm_bell_ringing', 'onset': 6.343, 'offset': 7.34}, {'event_label': 'Alarm_bell_ringing', 'onset': 8.268, 'offset': 9.379}]
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2TkylvkNpPw_4_14
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Identify the timestamps of sound occurrences within the audio file. Categories for identification include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 5.722}, {'event_label': 'Dishes', 'onset': 0.924, 'offset': 1.174}, {'event_label': 'Dishes', 'onset': 1.567, 'offset': 1.817}, {'event_label': 'Speech', 'onset': 6.006, 'offset': 9.169}, {'event_label': 'Running_water', 'onset': 8.178, 'offset': 9.368}, {'event_label': 'Speech', 'onset': 9.665, 'offset': 10.0}]
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2duVGulE6lo_81_91
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Detect the sound events within the audio clip and provide their time boundaries. Possible events: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 0.62}, {'event_label': 'Speech', 'onset': 0.845, 'offset': 4.333}, {'event_label': 'Speech', 'onset': 4.647, 'offset': 5.401}, {'event_label': 'Speech', 'onset': 5.634, 'offset': 6.525}, {'event_label': 'Speech', 'onset': 6.777, 'offset': 7.25}, {'event_label': 'Blender', 'onset': 7.587, 'offset': 10.0}]
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2sEIY7mDmgg_21_31
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Locate and annotate the intervals of sound events within the audio clip. Recognized types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Electric_shaver_toothbrush', 'onset': 1.698, 'offset': 5.671}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 6.512, 'offset': 10.0}]
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2w96QJ7UvhQ_133_143
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Pinpoint and annotate sound occurrences in the audio clip. Event categories are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Blender', 'onset': 0.0, 'offset': 9.082}, {'event_label': 'Speech', 'onset': 9.716, 'offset': 10.0}]
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31etSiozBZ4_56_66
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Detect the sound events within the audio clip and provide their time boundaries. Possible events: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Blender', 'onset': 2.309, 'offset': 5.474}, {'event_label': 'Dishes', 'onset': 8.09, 'offset': 8.831}]
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3XGni7aHhr4_360_370
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Identify the timestamps of sound occurrences within the audio file. Categories for identification include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 0.0, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 2.323, 'offset': 3.728}]
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3awAJGoAyeI_456_466
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Identify the timestamps of sound occurrences within the audio file. Categories for identification include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Vacuum_cleaner', 'onset': 0.0, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 0.907, 'offset': 1.828}, {'event_label': 'Speech', 'onset': 3.27, 'offset': 3.727}, {'event_label': 'Speech', 'onset': 4.244, 'offset': 5.004}, {'event_label': 'Speech', 'onset': 5.816, 'offset': 7.086}, {'event_label': 'Speech', 'onset': 9.366, 'offset': 9.738}]
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3cqsXEzUdiY_248_258
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Locate and record the intervals of sound events in the audio clip. The types of events to be detected include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Dog', 'onset': 1.517, 'offset': 1.808}, {'event_label': 'Dog', 'onset': 1.983, 'offset': 2.233}, {'event_label': 'Dog', 'onset': 2.455, 'offset': 2.705}, {'event_label': 'Speech', 'onset': 3.433, 'offset': 4.315}, {'event_label': 'Dog', 'onset': 5.435, 'offset': 5.707}, {'event_label': 'Dog', 'onset': 5.901, 'offset': 6.151}, {'event_label': 'Dog', 'onset': 6.861, 'offset': 7.111}, {'event_label': 'Dog', 'onset': 7.835, 'offset': 8.112}, {'event_label': 'Dog', 'onset': 9.094, 'offset': 9.397}, {'event_label': 'Dog', 'onset': 9.552, 'offset': 9.802}]
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3ssQMGnK118_364_374
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Find and mark time intervals of sound types in the audio file. Recognizable types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 0.794}, {'event_label': 'Speech', 'onset': 1.079, 'offset': 2.296}, {'event_label': 'Dishes', 'onset': 1.392, 'offset': 1.642}, {'event_label': 'Speech', 'onset': 2.664, 'offset': 3.038}, {'event_label': 'Dishes', 'onset': 2.912, 'offset': 3.238}, {'event_label': 'Speech', 'onset': 3.238, 'offset': 4.042}, {'event_label': 'Speech', 'onset': 4.286, 'offset': 6.017}, {'event_label': 'Running_water', 'onset': 4.794, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 6.565, 'offset': 8.528}, {'event_label': 'Speech', 'onset': 8.827, 'offset': 10.0}]
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45OrmgLniPE_940_950
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Detect the sound events within the audio clip and provide their time boundaries. Possible events: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 2.427}, {'event_label': 'Vacuum_cleaner', 'onset': 2.289, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 4.366, 'offset': 4.616}]
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49AbSai8It4_635_645
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Find and annotate the occurrences of different sound events within the audio file. Categories to recognize are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 1.884}, {'event_label': 'Speech', 'onset': 2.125, 'offset': 2.635}, {'event_label': 'Speech', 'onset': 2.864, 'offset': 3.276}, {'event_label': 'Alarm_bell_ringing', 'onset': 3.389, 'offset': 4.716}, {'event_label': 'Speech', 'onset': 4.934, 'offset': 6.713}, {'event_label': 'Speech', 'onset': 6.888, 'offset': 7.42}, {'event_label': 'Speech', 'onset': 7.584, 'offset': 8.069}, {'event_label': 'Alarm_bell_ringing', 'onset': 8.178, 'offset': 9.442}, {'event_label': 'Speech', 'onset': 9.358, 'offset': 10.0}]
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4B6Ch03-wjQ_415_425
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Locate and annotate the intervals of sound events within the audio clip. Recognized types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.009, 'offset': 1.624}, {'event_label': 'Speech', 'onset': 1.937, 'offset': 2.83}, {'event_label': 'Blender', 'onset': 2.838, 'offset': 10.0}]
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4Fhqokd_lpE_0_10
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Locate and annotate the intervals of sound events within the audio clip. Recognized types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 1.54, 'offset': 2.278}, {'event_label': 'Cat', 'onset': 4.059, 'offset': 4.774}, {'event_label': 'Cat', 'onset': 5.517, 'offset': 6.219}, {'event_label': 'Cat', 'onset': 6.763, 'offset': 7.508}, {'event_label': 'Cat', 'onset': 8.232, 'offset': 9.185}]
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4KcGV2CMCRo_75_85
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Detect and document intervals of specified sound events in the audio. Events to detect: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 1.152, 'offset': 2.172}, {'event_label': 'Speech', 'onset': 3.247, 'offset': 4.264}, {'event_label': 'Running_water', 'onset': 4.246, 'offset': 6.02}, {'event_label': 'Speech', 'onset': 6.177, 'offset': 9.993}]
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4YNJix0AJBA_288_298
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Locate and annotate the intervals of sound events within the audio clip. Recognized types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Alarm_bell_ringing', 'onset': 0.067, 'offset': 0.607}, {'event_label': 'Dog', 'onset': 0.332, 'offset': 0.582}, {'event_label': 'Speech', 'onset': 0.466, 'offset': 1.027}, {'event_label': 'Dog', 'onset': 1.059, 'offset': 1.461}, {'event_label': 'Alarm_bell_ringing', 'onset': 1.07, 'offset': 1.731}, {'event_label': 'Speech', 'onset': 1.241, 'offset': 2.026}, {'event_label': 'Alarm_bell_ringing', 'onset': 2.6, 'offset': 3.261}, {'event_label': 'Speech', 'onset': 2.6, 'offset': 3.078}, {'event_label': 'Dog', 'onset': 3.14, 'offset': 3.466}, {'event_label': 'Speech', 'onset': 3.275, 'offset': 4.542}, {'event_label': 'Alarm_bell_ringing', 'onset': 3.588, 'offset': 4.225}, {'event_label': 'Dog', 'onset': 3.843, 'offset': 4.155}, {'event_label': 'Dog', 'onset': 4.585, 'offset': 4.947}, {'event_label': 'Alarm_bell_ringing', 'onset': 4.6, 'offset': 5.174}, {'event_label': 'Speech', 'onset': 5.179, 'offset': 5.448}, {'event_label': 'Dog', 'onset': 5.291, 'offset': 5.775}, {'event_label': 'Speech', 'onset': 5.887, 'offset': 9.748}, {'event_label': 'Dog', 'onset': 6.068, 'offset': 6.531}, {'event_label': 'Alarm_bell_ringing', 'onset': 6.961, 'offset': 7.569}, {'event_label': 'Alarm_bell_ringing', 'onset': 7.952, 'offset': 8.593}, {'event_label': 'Alarm_bell_ringing', 'onset': 8.954, 'offset': 9.573}]
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4e__S9UXOMM_740_750
|
Detect the sound events within the audio clip and provide their time boundaries. Possible events: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 1.051, 'offset': 2.3}, {'event_label': 'Speech', 'onset': 2.458, 'offset': 5.182}, {'event_label': 'Dishes', 'onset': 4.492, 'offset': 5.696}, {'event_label': 'Speech', 'onset': 5.554, 'offset': 6.214}, {'event_label': 'Dishes', 'onset': 6.206, 'offset': 6.655}, {'event_label': 'Dishes', 'onset': 6.819, 'offset': 7.069}, {'event_label': 'Speech', 'onset': 6.939, 'offset': 7.591}, {'event_label': 'Dishes', 'onset': 7.296, 'offset': 8.44}, {'event_label': 'Speech', 'onset': 7.994, 'offset': 8.936}, {'event_label': 'Dishes', 'onset': 8.647, 'offset': 9.166}, {'event_label': 'Dishes', 'onset': 9.327, 'offset': 9.577}]
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4fToGeoB7Qw_41_51
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Find and mark time intervals of sound types in the audio file. Recognizable types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.18, 'offset': 0.744}, {'event_label': 'Speech', 'onset': 1.031, 'offset': 1.37}, {'event_label': 'Dishes', 'onset': 1.537, 'offset': 2.113}, {'event_label': 'Speech', 'onset': 2.113, 'offset': 2.879}, {'event_label': 'Dishes', 'onset': 2.952, 'offset': 3.726}, {'event_label': 'Speech', 'onset': 4.962, 'offset': 6.25}, {'event_label': 'Dishes', 'onset': 5.424, 'offset': 5.705}, {'event_label': 'Dishes', 'onset': 5.98, 'offset': 6.637}, {'event_label': 'Dishes', 'onset': 8.448, 'offset': 8.969}, {'event_label': 'Speech', 'onset': 9.243, 'offset': 10.0}]
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4fyWleU80yY_366_376
|
Find and mark time intervals of sound types in the audio file. Recognizable types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 0.0, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 1.764, 'offset': 2.074}, {'event_label': 'Speech', 'onset': 4.654, 'offset': 5.364}, {'event_label': 'Dishes', 'onset': 5.514, 'offset': 5.764}, {'event_label': 'Dishes', 'onset': 5.943, 'offset': 7.675}]
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|
4iAq_bdEXBg_187_197
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Identify and record timing for sound events in the provided audio. Categories to identify are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.064, 'offset': 0.891}, {'event_label': 'Speech', 'onset': 1.826, 'offset': 2.533}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 2.572, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 3.158, 'offset': 4.066}, {'event_label': 'Speech', 'onset': 6.33, 'offset': 8.388}, {'event_label': 'Speech', 'onset': 8.616, 'offset': 10.0}]
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|
4wWbf0qP5K0_420_430
|
Please mark the start and end times of sound events in the audio clip. The events include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 1.334, 'offset': 2.27}, {'event_label': 'Speech', 'onset': 3.709, 'offset': 4.043}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 4.973, 'offset': 8.692}, {'event_label': 'Speech', 'onset': 6.458, 'offset': 7.635}, {'event_label': 'Speech', 'onset': 8.424, 'offset': 9.475}]
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4xhzacM1PSA_32_42
|
Detect the sound events within the audio clip and provide their time boundaries. Possible events: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 0.19, 'offset': 1.03}, {'event_label': 'Cat', 'onset': 4.43, 'offset': 5.098}, {'event_label': 'Cat', 'onset': 5.76, 'offset': 6.392}, {'event_label': 'Cat', 'onset': 7.458, 'offset': 8.124}, {'event_label': 'Cat', 'onset': 9.091, 'offset': 9.823}]
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|
4z9TmhD-3aM_99_109
|
Pinpoint and annotate sound occurrences in the audio clip. Event categories are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 0.697}, {'event_label': 'Speech', 'onset': 1.12, 'offset': 1.572}, {'event_label': 'Speech', 'onset': 1.735, 'offset': 2.74}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 1.901, 'offset': 3.694}, {'event_label': 'Speech', 'onset': 2.944, 'offset': 3.28}, {'event_label': 'Speech', 'onset': 4.572, 'offset': 5.408}, {'event_label': 'Speech', 'onset': 5.579, 'offset': 5.997}, {'event_label': 'Speech', 'onset': 6.286, 'offset': 7.289}, {'event_label': 'Speech', 'onset': 7.568, 'offset': 10.0}]
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|
50PqzTQomOM_137_147
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Pinpoint and document the time intervals of sound events in the audio clip. Recognized categories are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.933, 'offset': 2.66}, {'event_label': 'Alarm_bell_ringing', 'onset': 1.851, 'offset': 3.885}, {'event_label': 'Speech', 'onset': 4.029, 'offset': 5.523}, {'event_label': 'Alarm_bell_ringing', 'onset': 4.096, 'offset': 6.56}, {'event_label': 'Speech', 'onset': 6.046, 'offset': 6.574}, {'event_label': 'Speech', 'onset': 7.536, 'offset': 9.125}]
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|
55SE3frignA_305_315
|
Find and mark time intervals of sound types in the audio file. Recognizable types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 1.379}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 1.65, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 3.069, 'offset': 4.834}, {'event_label': 'Speech', 'onset': 8.194, 'offset': 8.777}]
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|
5OjbMgvwJCg_0_10
|
Identify and timestamp occurrences of sound types within the audio clip. The sound events are categorized as: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Dog', 'onset': 0.455, 'offset': 0.755}, {'event_label': 'Dog', 'onset': 1.089, 'offset': 1.361}, {'event_label': 'Dog', 'onset': 1.68, 'offset': 1.985}, {'event_label': 'Dog', 'onset': 2.138, 'offset': 2.625}, {'event_label': 'Dog', 'onset': 2.888, 'offset': 3.438}, {'event_label': 'Dog', 'onset': 3.811, 'offset': 8.167}, {'event_label': 'Dog', 'onset': 8.65, 'offset': 9.845}]
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|
64zwMCsqdeM_106_116
|
Pinpoint and document the time intervals of sound events in the audio clip. Recognized categories are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.872, 'offset': 3.051}, {'event_label': 'Running_water', 'onset': 2.072, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 3.863, 'offset': 5.566}, {'event_label': 'Dishes', 'onset': 6.256, 'offset': 7.248}, {'event_label': 'Speech', 'onset': 9.108, 'offset': 10.0}]
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|
64zwMCsqdeM_133_143
|
Identify the timestamps of sound occurrences within the audio file. Categories for identification include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 0.539}, {'event_label': 'Speech', 'onset': 1.279, 'offset': 2.589}, {'event_label': 'Blender', 'onset': 2.543, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 5.763, 'offset': 8.754}, {'event_label': 'Speech', 'onset': 9.304, 'offset': 10.0}]
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|
67MbfbSyW-A_0_10
|
Detect and document intervals of specified sound events in the audio. Events to detect: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Alarm_bell_ringing', 'onset': 0.39, 'offset': 1.152}, {'event_label': 'Alarm_bell_ringing', 'onset': 1.388, 'offset': 2.223}, {'event_label': 'Alarm_bell_ringing', 'onset': 3.388, 'offset': 4.165}, {'event_label': 'Alarm_bell_ringing', 'onset': 4.388, 'offset': 5.193}, {'event_label': 'Alarm_bell_ringing', 'onset': 5.393, 'offset': 6.315}, {'event_label': 'Alarm_bell_ringing', 'onset': 7.383, 'offset': 8.143}, {'event_label': 'Alarm_bell_ringing', 'onset': 8.387, 'offset': 9.162}, {'event_label': 'Alarm_bell_ringing', 'onset': 9.386, 'offset': 10.0}]
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|
68BYINd-Wr8_329_339
|
Mark the start and end times of the detected sound events in the given audio file. The events are categorized as: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 0.0, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 5.406, 'offset': 6.727}, {'event_label': 'Speech', 'onset': 8.107, 'offset': 10.0}]
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|
6Y8vX8Sy8b8_840_850
|
Detect the sound events within the audio clip and provide their time boundaries. Possible events: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Dishes', 'onset': 2.105, 'offset': 3.293}, {'event_label': 'Dishes', 'onset': 3.491, 'offset': 4.839}, {'event_label': 'Dishes', 'onset': 5.091, 'offset': 5.873}, {'event_label': 'Dishes', 'onset': 6.307, 'offset': 6.818}, {'event_label': 'Dishes', 'onset': 6.979, 'offset': 7.974}, {'event_label': 'Dishes', 'onset': 8.179, 'offset': 9.366}]
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|
6bgTyN0q-ug_1_11
|
Locate and record the intervals of sound events in the audio clip. The types of events to be detected include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Dishes', 'onset': 0.676, 'offset': 0.926}, {'event_label': 'Dishes', 'onset': 1.764, 'offset': 3.564}, {'event_label': 'Dishes', 'onset': 3.957, 'offset': 4.207}, {'event_label': 'Dishes', 'onset': 4.751, 'offset': 5.156}, {'event_label': 'Dishes', 'onset': 6.36, 'offset': 6.61}, {'event_label': 'Dishes', 'onset': 7.001, 'offset': 7.251}, {'event_label': 'Frying', 'onset': 7.577, 'offset': 10.0}]
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|
6nh51gqR47k_1970_1980
|
Find and mark time intervals of sound types in the audio file. Recognizable types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 0.0, 'offset': 9.996}, {'event_label': 'Dog', 'onset': 0.0, 'offset': 0.875}, {'event_label': 'Dishes', 'onset': 1.569, 'offset': 2.121}, {'event_label': 'Speech', 'onset': 1.569, 'offset': 2.755}, {'event_label': 'Dishes', 'onset': 2.386, 'offset': 2.636}, {'event_label': 'Dishes', 'onset': 3.827, 'offset': 4.147}, {'event_label': 'Speech', 'onset': 5.299, 'offset': 7.362}, {'event_label': 'Speech', 'onset': 7.697, 'offset': 9.118}]
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|
6ze6mWloUw8_144_154
|
Identify and record timing for sound events in the provided audio. Categories to identify are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.197, 'offset': 6.385}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 1.668, 'offset': 4.734}, {'event_label': 'Speech', 'onset': 6.567, 'offset': 6.895}, {'event_label': 'Speech', 'onset': 7.157, 'offset': 10.0}]
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|
7LthJS6PuPI_550_560
|
Detect and record the start and end times of sound events in the audio. Events to be identified are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.018, 'offset': 0.335}, {'event_label': 'Speech', 'onset': 0.652, 'offset': 4.329}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 2.965, 'offset': 4.23}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 4.409, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 4.666, 'offset': 5.333}, {'event_label': 'Speech', 'onset': 6.434, 'offset': 7.367}, {'event_label': 'Speech', 'onset': 7.677, 'offset': 8.185}, {'event_label': 'Speech', 'onset': 8.4, 'offset': 10.0}]
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|
7Ngf_EYN1Aw_24_34
|
Detect the boundaries of specific sound events in the audio clip. The events to detect are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 0.0, 'offset': 0.736}, {'event_label': 'Speech', 'onset': 1.203, 'offset': 1.815}, {'event_label': 'Cat', 'onset': 2.121, 'offset': 2.996}, {'event_label': 'Speech', 'onset': 3.021, 'offset': 4.147}, {'event_label': 'Cat', 'onset': 4.431, 'offset': 5.047}, {'event_label': 'Speech', 'onset': 5.539, 'offset': 6.15}, {'event_label': 'Cat', 'onset': 6.638, 'offset': 7.901}, {'event_label': 'Speech', 'onset': 7.951, 'offset': 8.201}, {'event_label': 'Cat', 'onset': 9.75, 'offset': 10.0}]
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|
7YB8tx4ug1E_0_10
|
Find and annotate the occurrences of different sound events within the audio file. Categories to recognize are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Dog', 'onset': 0.179, 'offset': 0.439}, {'event_label': 'Dog', 'onset': 0.687, 'offset': 0.958}, {'event_label': 'Dog', 'onset': 1.142, 'offset': 1.438}, {'event_label': 'Dog', 'onset': 1.622, 'offset': 1.926}, {'event_label': 'Dog', 'onset': 3.121, 'offset': 3.371}, {'event_label': 'Dog', 'onset': 3.588, 'offset': 3.974}, {'event_label': 'Dog', 'onset': 7.965, 'offset': 8.402}, {'event_label': 'Dog', 'onset': 8.706, 'offset': 8.994}, {'event_label': 'Dog', 'onset': 9.242, 'offset': 9.523}]
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|
7qTsccKPPpA_0_10
|
Locate and timestamp occurrences of sound types within the audio file. Recognized categories include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Running_water', 'onset': 0.346, 'offset': 7.34}, {'event_label': 'Running_water', 'onset': 8.316, 'offset': 10.0}]
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|
842HgZcd2e8_102_112
|
Please mark the start and end times of sound events in the audio clip. The events include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.033, 'offset': 3.145}, {'event_label': 'Dog', 'onset': 0.066, 'offset': 0.361}, {'event_label': 'Dog', 'onset': 0.68, 'offset': 2.544}, {'event_label': 'Dog', 'onset': 2.976, 'offset': 6.166}, {'event_label': 'Speech', 'onset': 3.571, 'offset': 5.157}, {'event_label': 'Dog', 'onset': 6.461, 'offset': 7.915}, {'event_label': 'Speech', 'onset': 8.415, 'offset': 10.0}, {'event_label': 'Dog', 'onset': 8.776, 'offset': 9.026}, {'event_label': 'Dog', 'onset': 9.227, 'offset': 9.991}]
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|
86ekc_OvaCI_192_202
|
Locate and record the intervals of sound events in the audio clip. The types of events to be detected include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.326, 'offset': 1.241}, {'event_label': 'Blender', 'onset': 2.714, 'offset': 10.0}]
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|
87wrn2pq0l0_19_29
|
Detect and record the start and end times of sound events in the audio. Events to be identified are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
|
[{'event_label': 'Speech', 'onset': 0.0, 'offset': 0.339}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 0.0, 'offset': 0.408}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 0.565, 'offset': 6.966}, {'event_label': 'Speech', 'onset': 1.185, 'offset': 2.079}, {'event_label': 'Speech', 'onset': 2.937, 'offset': 3.881}, {'event_label': 'Speech', 'onset': 4.093, 'offset': 4.831}, {'event_label': 'Speech', 'onset': 5.013, 'offset': 5.384}, {'event_label': 'Speech', 'onset': 5.793, 'offset': 6.891}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 7.156, 'offset': 7.82}, {'event_label': 'Speech', 'onset': 8.253, 'offset': 8.514}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 8.368, 'offset': 9.882}, {'event_label': 'Speech', 'onset': 9.153, 'offset': 9.403}]
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|
8FdvR75XaHw_102_112
|
Find and annotate the occurrences of different sound events within the audio file. Categories to recognize are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
|
[{'event_label': 'Blender', 'onset': 2.325, 'offset': 8.028}, {'event_label': 'Blender', 'onset': 8.708, 'offset': 10.0}]
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|
8eaysdvS-0I_30_40
|
Identify the timestamps of sound occurrences within the audio file. Categories for identification include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
|
[{'event_label': 'Speech', 'onset': 0.377, 'offset': 3.258}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 0.938, 'offset': 6.093}, {'event_label': 'Speech', 'onset': 3.608, 'offset': 5.149}, {'event_label': 'Speech', 'onset': 6.147, 'offset': 7.46}, {'event_label': 'Speech', 'onset': 7.69, 'offset': 10.0}]
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|
8tbUCO_HtOU_3_13
|
Recognize and timestamp sound events within the audio clip. Categories to recognize are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.292, 'offset': 1.115}, {'event_label': 'Cat', 'onset': 1.137, 'offset': 2.602}, {'event_label': 'Speech', 'onset': 3.014, 'offset': 4.506}, {'event_label': 'Speech', 'onset': 5.576, 'offset': 6.583}, {'event_label': 'Cat', 'onset': 6.501, 'offset': 7.717}, {'event_label': 'Speech', 'onset': 7.784, 'offset': 10.0}]
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8ykvfuAfh3Q_23_33
|
Identify and timestamp the occurrences of specific sound events within the audio clip. Sound events to be recognized are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 2.143, 'offset': 2.668}, {'event_label': 'Speech', 'onset': 3.734, 'offset': 4.657}, {'event_label': 'Vacuum_cleaner', 'onset': 5.351, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 8.072, 'offset': 8.71}]
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92ZU3IcYEIE_270_280
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Identify and timestamp the occurrences of specific sound events within the audio clip. Sound events to be recognized are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 2.449}, {'event_label': 'Speech', 'onset': 2.633, 'offset': 8.801}, {'event_label': 'Blender', 'onset': 9.062, 'offset': 9.989}]
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96sv_nKIBgY_144_154
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Find and annotate the occurrences of different sound events within the audio file. Categories to recognize are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 1.086, 'offset': 3.635}, {'event_label': 'Electric_shaver_toothbrush', 'onset': 2.628, 'offset': 7.267}, {'event_label': 'Speech', 'onset': 4.135, 'offset': 4.773}, {'event_label': 'Speech', 'onset': 5.411, 'offset': 6.691}, {'event_label': 'Speech', 'onset': 7.62, 'offset': 9.978}]
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9Buwu9vuQEY_0_10
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Find and annotate the occurrences of different sound events within the audio file. Categories to recognize are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Electric_shaver_toothbrush', 'onset': 2.325, 'offset': 10.0}, {'event_label': 'Alarm_bell_ringing', 'onset': 4.439, 'offset': 10.0}]
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9DYcovm9i0M_741_751
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Locate and timestamp occurrences of sound types within the audio file. Recognized categories include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 1.152}, {'event_label': 'Frying', 'onset': 1.175, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 5.344, 'offset': 6.104}, {'event_label': 'Speech', 'onset': 7.555, 'offset': 8.837}]
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9FuBQiBH2mg_0_10
|
Detect the sound events within the audio clip and provide their time boundaries. Possible events: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 0.0, 'offset': 0.708}, {'event_label': 'Speech', 'onset': 0.918, 'offset': 2.092}, {'event_label': 'Cat', 'onset': 2.456, 'offset': 3.016}, {'event_label': 'Cat', 'onset': 6.297, 'offset': 8.735}, {'event_label': 'Speech', 'onset': 9.636, 'offset': 9.916}]
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9VrPJEGvXXQ_510_520
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Identify and record timing for sound events in the provided audio. Categories to identify are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 1.337}, {'event_label': 'Speech', 'onset': 1.851, 'offset': 4.202}, {'event_label': 'Blender', 'onset': 6.791, 'offset': 9.654}]
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9zkkUJh91pM_50_60
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Identify and timestamp the occurrences of specific sound events within the audio clip. Sound events to be recognized are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 0.845, 'offset': 1.359}, {'event_label': 'Cat', 'onset': 2.817, 'offset': 3.477}, {'event_label': 'Cat', 'onset': 5.441, 'offset': 5.973}, {'event_label': 'Cat', 'onset': 9.337, 'offset': 10.0}]
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A5bC6KJD6l8_0_10
|
Identify and timestamp the occurrences of specific sound events within the audio clip. Sound events to be recognized are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Alarm_bell_ringing', 'onset': 0.831, 'offset': 2.566}, {'event_label': 'Dog', 'onset': 2.485, 'offset': 4.592}, {'event_label': 'Alarm_bell_ringing', 'onset': 2.799, 'offset': 3.469}, {'event_label': 'Alarm_bell_ringing', 'onset': 4.789, 'offset': 5.528}, {'event_label': 'Dog', 'onset': 5.226, 'offset': 5.86}, {'event_label': 'Alarm_bell_ringing', 'onset': 5.784, 'offset': 7.762}, {'event_label': 'Alarm_bell_ringing', 'onset': 8.757, 'offset': 9.446}, {'event_label': 'Dog', 'onset': 9.144, 'offset': 10.0}, {'event_label': 'Alarm_bell_ringing', 'onset': 9.734, 'offset': 10.0}]
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AW9ZKFZKhDE_49_59
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Please mark the start and end times of sound events in the audio clip. The events include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.297, 'offset': 1.401}, {'event_label': 'Vacuum_cleaner', 'onset': 0.924, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 1.742, 'offset': 2.5}, {'event_label': 'Speech', 'onset': 4.016, 'offset': 4.266}, {'event_label': 'Speech', 'onset': 5.343, 'offset': 6.538}]
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A_Ove_2c-UQ_37_47
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Detect the sound events within the audio clip and provide their time boundaries. Possible events: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 1.204, 'offset': 2.228}, {'event_label': 'Running_water', 'onset': 2.372, 'offset': 4.81}, {'event_label': 'Speech', 'onset': 4.554, 'offset': 5.487}, {'event_label': 'Dishes', 'onset': 5.731, 'offset': 6.241}, {'event_label': 'Speech', 'onset': 6.806, 'offset': 9.162}, {'event_label': 'Blender', 'onset': 9.383, 'offset': 9.971}]
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AtZDE37weFM_443_453
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Find and annotate the occurrences of different sound events within the audio file. Categories to recognize are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.692, 'offset': 5.536}, {'event_label': 'Speech', 'onset': 5.973, 'offset': 6.25}, {'event_label': 'Vacuum_cleaner', 'onset': 7.879, 'offset': 10.0}]
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B2hv0XvgwdM_154_164
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Detect and document intervals of specified sound events in the audio. Events to detect: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 1.611}, {'event_label': 'Blender', 'onset': 1.884, 'offset': 6.822}, {'event_label': 'Speech', 'onset': 7.458, 'offset': 7.813}, {'event_label': 'Speech', 'onset': 8.061, 'offset': 9.836}]
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|
BFWN_OXjYM0_0_10
|
Identify and timestamp the occurrences of specific sound events within the audio clip. Sound events to be recognized are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.204, 'offset': 2.507}, {'event_label': 'Cat', 'onset': 3.717, 'offset': 4.107}, {'event_label': 'Cat', 'onset': 4.264, 'offset': 4.514}, {'event_label': 'Cat', 'onset': 5.022, 'offset': 5.272}, {'event_label': 'Cat', 'onset': 5.466, 'offset': 6.254}, {'event_label': 'Speech', 'onset': 6.421, 'offset': 7.199}, {'event_label': 'Cat', 'onset': 8.222, 'offset': 8.597}, {'event_label': 'Speech', 'onset': 8.929, 'offset': 9.831}]
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|
BFWN_OXjYM0_14_24
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Please mark the start and end times of sound events in the audio clip. The events include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 0.929, 'offset': 1.334}, {'event_label': 'Cat', 'onset': 3.149, 'offset': 3.399}, {'event_label': 'Cat', 'onset': 9.089, 'offset': 9.457}]
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BTC4nw4Mg5c_9_19
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Identify and record timing for sound events in the provided audio. Categories to identify are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Dog', 'onset': 1.458, 'offset': 2.216}, {'event_label': 'Dog', 'onset': 3.593, 'offset': 4.242}, {'event_label': 'Dog', 'onset': 5.835, 'offset': 6.085}, {'event_label': 'Dog', 'onset': 6.866, 'offset': 7.116}, {'event_label': 'Dog', 'onset': 7.267, 'offset': 9.125}, {'event_label': 'Dog', 'onset': 9.315, 'offset': 9.716}]
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|
Bnb3svkwpdY_550_560
|
Identify and record timing for sound events in the provided audio. Categories to identify are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.988, 'offset': 2.566}, {'event_label': 'Dishes', 'onset': 1.219, 'offset': 1.582}, {'event_label': 'Dishes', 'onset': 2.911, 'offset': 3.207}, {'event_label': 'Speech', 'onset': 3.098, 'offset': 5.423}, {'event_label': 'Dishes', 'onset': 3.586, 'offset': 3.836}, {'event_label': 'Dishes', 'onset': 4.067, 'offset': 4.317}, {'event_label': 'Dishes', 'onset': 4.475, 'offset': 4.73}, {'event_label': 'Speech', 'onset': 5.7, 'offset': 10.0}, {'event_label': 'Dishes', 'onset': 6.496, 'offset': 6.746}, {'event_label': 'Dishes', 'onset': 6.931, 'offset': 7.181}]
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|
Bq8CZxKRaBk_72_82
|
Please mark the start and end times of sound events in the audio clip. The events include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Blender', 'onset': 0.0, 'offset': 10.0}]
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|
BxvVczsBH2U_0_10
|
Please mark the start and end times of sound events in the audio clip. The events include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 0.372, 'offset': 1.691}, {'event_label': 'Cat', 'onset': 3.622, 'offset': 4.249}, {'event_label': 'Cat', 'onset': 4.949, 'offset': 6.399}, {'event_label': 'Cat', 'onset': 7.004, 'offset': 9.388}]
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|
Byfno7q1T-w_4_14
|
Locate and timestamp occurrences of sound types within the audio file. Recognized categories include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Running_water', 'onset': 0.0, 'offset': 10.0}, {'event_label': 'Dishes', 'onset': 1.604, 'offset': 1.855}, {'event_label': 'Dishes', 'onset': 2.044, 'offset': 2.294}, {'event_label': 'Dishes', 'onset': 5.692, 'offset': 6.311}, {'event_label': 'Dishes', 'onset': 6.563, 'offset': 6.813}, {'event_label': 'Dishes', 'onset': 7.234, 'offset': 7.484}, {'event_label': 'Dishes', 'onset': 9.471, 'offset': 9.907}]
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CMqILvK7m0M_0_10
|
Identify the time boundaries of sound events in the given audio clip. The sound events are limited to the following 10 types: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 0.157, 'offset': 10.0}, {'event_label': 'Dishes', 'onset': 0.695, 'offset': 0.945}, {'event_label': 'Dishes', 'onset': 3.562, 'offset': 3.812}, {'event_label': 'Dishes', 'onset': 6.426, 'offset': 6.676}, {'event_label': 'Dishes', 'onset': 9.292, 'offset': 9.542}]
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CN0gaknlKNE_443_453
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Please mark the start and end times of sound events in the audio clip. The events include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 0.0, 'offset': 10.0}, {'event_label': 'Dishes', 'onset': 2.445, 'offset': 3.039}]
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CSQ6df2KWqE_417_427
|
Mark the start and end times of the detected sound events in the given audio file. The events are categorized as: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.787, 'offset': 1.574}, {'event_label': 'Frying', 'onset': 1.87, 'offset': 10.0}, {'event_label': 'Dishes', 'onset': 5.929, 'offset': 6.179}, {'event_label': 'Dishes', 'onset': 8.12, 'offset': 8.437}]
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CZX4OfrejSU_118_128
|
Locate and annotate the intervals of sound events within the audio clip. Recognized types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 0.922, 'offset': 2.526}, {'event_label': 'Cat', 'onset': 2.941, 'offset': 4.297}, {'event_label': 'Cat', 'onset': 5.496, 'offset': 6.942}, {'event_label': 'Cat', 'onset': 7.504, 'offset': 9.278}]
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|
D4S8gsjX0KQ_400_410
|
Pinpoint and document the time intervals of sound events in the audio clip. Recognized categories are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 1.727, 'offset': 2.704}, {'event_label': 'Dishes', 'onset': 4.422, 'offset': 4.681}, {'event_label': 'Speech', 'onset': 6.0, 'offset': 6.589}, {'event_label': 'Frying', 'onset': 6.747, 'offset': 10.0}, {'event_label': 'Dishes', 'onset': 7.398, 'offset': 7.733}, {'event_label': 'Dishes', 'onset': 7.97, 'offset': 8.351}, {'event_label': 'Dishes', 'onset': 8.606, 'offset': 8.856}]
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D8N1fJ81wE4_156_166
|
Locate and record the intervals of sound events in the audio clip. The types of events to be detected include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 1.016}, {'event_label': 'Dishes', 'onset': 0.82, 'offset': 1.07}, {'event_label': 'Speech', 'onset': 1.228, 'offset': 2.401}, {'event_label': 'Dishes', 'onset': 2.515, 'offset': 5.066}, {'event_label': 'Speech', 'onset': 4.378, 'offset': 5.018}, {'event_label': 'Dishes', 'onset': 5.219, 'offset': 6.392}, {'event_label': 'Dishes', 'onset': 7.09, 'offset': 7.34}, {'event_label': 'Speech', 'onset': 8.069, 'offset': 8.539}, {'event_label': 'Dishes', 'onset': 9.012, 'offset': 9.399}, {'event_label': 'Dishes', 'onset': 9.712, 'offset': 9.988}]
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D9l2WbEm2p8_36_46
|
Identify and timestamp the occurrences of specific sound events within the audio clip. Sound events to be recognized are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 0.0, 'offset': 9.971}, {'event_label': 'Speech', 'onset': 0.0, 'offset': 0.437}, {'event_label': 'Dishes', 'onset': 2.154, 'offset': 7.245}]
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|
DAtsXfxKG0A_53_63
|
Mark the start and end times of the detected sound events in the given audio file. The events are categorized as: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 1.115, 'offset': 2.187}, {'event_label': 'Dishes', 'onset': 1.808, 'offset': 3.233}, {'event_label': 'Speech', 'onset': 2.638, 'offset': 3.391}, {'event_label': 'Dishes', 'onset': 4.829, 'offset': 5.142}, {'event_label': 'Speech', 'onset': 7.533, 'offset': 9.078}, {'event_label': 'Dishes', 'onset': 7.835, 'offset': 8.185}, {'event_label': 'Dishes', 'onset': 8.823, 'offset': 9.297}, {'event_label': 'Dishes', 'onset': 9.643, 'offset': 9.893}]
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|
DUZ_nQ913Dk_107_117
|
Mark the start and end times of the detected sound events in the given audio file. The events are categorized as: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 0.266}, {'event_label': 'Speech', 'onset': 0.488, 'offset': 1.05}, {'event_label': 'Speech', 'onset': 2.249, 'offset': 3.171}, {'event_label': 'Vacuum_cleaner', 'onset': 3.171, 'offset': 7.843}, {'event_label': 'Speech', 'onset': 5.179, 'offset': 5.667}, {'event_label': 'Speech', 'onset': 6.167, 'offset': 7.66}, {'event_label': 'Speech', 'onset': 8.206, 'offset': 9.27}, {'event_label': 'Speech', 'onset': 9.591, 'offset': 10.0}]
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|
DVIjBBhCn5Q_210_220
|
Locate and record the intervals of sound events in the audio clip. The types of events to be detected include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.525, 'offset': 1.767}, {'event_label': 'Dishes', 'onset': 2.032, 'offset': 2.584}, {'event_label': 'Dishes', 'onset': 2.966, 'offset': 3.25}, {'event_label': 'Blender', 'onset': 3.387, 'offset': 8.171}, {'event_label': 'Speech', 'onset': 8.331, 'offset': 9.088}, {'event_label': 'Speech', 'onset': 9.453, 'offset': 10.0}]
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DaPDBXyAwtc_315_325
|
Pinpoint and document the time intervals of sound events in the audio clip. Recognized categories are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
|
[{'event_label': 'Blender', 'onset': 0.0, 'offset': 8.098}, {'event_label': 'Speech', 'onset': 7.624, 'offset': 8.98}]
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Df7veBP0Wu4_28_38
|
Pinpoint and annotate sound occurrences in the audio clip. Event categories are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Cat', 'onset': 1.188, 'offset': 2.354}, {'event_label': 'Cat', 'onset': 5.882, 'offset': 8.929}, {'event_label': 'Cat', 'onset': 9.249, 'offset': 10.0}]
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|
DjydV6lJuXA_0_10
|
Identify the time boundaries of sound events in the given audio clip. The sound events are limited to the following 10 types: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Dog', 'onset': 0.095, 'offset': 1.953}, {'event_label': 'Dog', 'onset': 2.784, 'offset': 3.061}, {'event_label': 'Dog', 'onset': 3.382, 'offset': 4.723}, {'event_label': 'Dog', 'onset': 4.971, 'offset': 6.079}, {'event_label': 'Dog', 'onset': 6.859, 'offset': 8.105}, {'event_label': 'Dog', 'onset': 8.622, 'offset': 8.896}]
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DnlqHy-b_w0_20_30
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Find and annotate the occurrences of different sound events within the audio file. Categories to recognize are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Alarm_bell_ringing', 'onset': 1.052, 'offset': 1.804}, {'event_label': 'Alarm_bell_ringing', 'onset': 2.118, 'offset': 2.777}, {'event_label': 'Alarm_bell_ringing', 'onset': 3.1, 'offset': 3.749}, {'event_label': 'Alarm_bell_ringing', 'onset': 5.055, 'offset': 5.805}, {'event_label': 'Alarm_bell_ringing', 'onset': 6.113, 'offset': 6.819}, {'event_label': 'Alarm_bell_ringing', 'onset': 7.087, 'offset': 7.751}, {'event_label': 'Alarm_bell_ringing', 'onset': 9.038, 'offset': 9.807}]
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DzyrGWN8GOU_335_345
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Identify the timing boundaries of sound events within the audio file. The events to identify include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 0.0, 'offset': 10.0}, {'event_label': 'Dishes', 'onset': 2.244, 'offset': 2.494}, {'event_label': 'Dishes', 'onset': 3.367, 'offset': 3.617}]
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E0GT7asBVsM_295_305
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Find and mark time intervals of sound types in the audio file. Recognizable types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 0.707}, {'event_label': 'Frying', 'onset': 0.0, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 2.675, 'offset': 6.509}, {'event_label': 'Dishes', 'onset': 4.854, 'offset': 5.138}, {'event_label': 'Speech', 'onset': 7.048, 'offset': 10.0}]
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EED6P07onn8_210_220
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Detect the sound events within the audio clip and provide their time boundaries. Possible events: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.0, 'offset': 0.415}, {'event_label': 'Blender', 'onset': 0.534, 'offset': 10.0}]
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EsRJ9-4deo8_20_30
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Detect and record the start and end times of sound events in the audio. Events to be identified are: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Frying', 'onset': 0.0, 'offset': 10.0}, {'event_label': 'Speech', 'onset': 0.0, 'offset': 1.675}, {'event_label': 'Dishes', 'onset': 1.633, 'offset': 2.157}, {'event_label': 'Speech', 'onset': 2.443, 'offset': 4.32}, {'event_label': 'Dishes', 'onset': 2.631, 'offset': 3.032}, {'event_label': 'Dishes', 'onset': 3.772, 'offset': 5.456}, {'event_label': 'Speech', 'onset': 4.96, 'offset': 10.0}]
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Eylcb4rbLSo_242_252
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Locate and annotate the intervals of sound events within the audio clip. Recognized types include: Alarm/bell/ringing, Blender, Cat, Dishes, Dog, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner. Output format: list of dictionaries with keys 'event_label', 'onset', and 'offset'. Onset and offset times should be in seconds with three decimal places.
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[{'event_label': 'Speech', 'onset': 0.977, 'offset': 1.757}, {'event_label': 'Running_water', 'onset': 1.494, 'offset': 2.507}, {'event_label': 'Frying', 'onset': 2.383, 'offset': 9.388}]
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