Datasets:

lonce
/

quickstartdata

fill_level float64 0 1
0
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YAML Metadata Warning: The task_categories "parameters-to-audio synthesis" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

YAML Metadata Warning: The task_categories "parameter audio-classification" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Water Cup Filling Audio Dataset

Dataset Description

This dataset contains audio recordings (24kHz sr) of water being poured into cups, paired with temporal conditioning data that tracks the fill level over time (at 75 fps). Each audio file has a corresponding CSV file with synchronized fill level measurements.

The dataset is in a readable form (see parameters.json, and individual .csv parameter files).

Dataset Summary

Audio Format: 24kHz mono WAV files
Conditioning Format: CSV files with fill level values (0-1)
Conditioning Temporal Resolution: 75 frames per second
Domain: parametric sound synthesis
Total Examples: 25 train, 3 test

Use Cases

Training conditional audio generation models
Audio-to-parameter estimation
Physics-informed sound synthesis research
Temporal audio conditioning studies

Dataset Structure

File Organization

dataset/
├── train/
│   ├── Zoom_001.wav
│   ├── Zoom_001.csv
│   ├── Zoom_002.wav
│   ├── Zoom_002.csv
│   └── ...
├── test/
│   ├── Zoom_26.wav
│   ├── Zoom_26.csv
│   └── ...
└── parameters.json

File Formats

Audio Files (`.wav`)

Sampling Rate: 24,000 Hz
Channels: Mono (1 channel)
Bit Depth: 16-bit (typically)
Format: Standard WAV/PCM
Duration: Variable (roughly 15-20 seconds)

Conditioning Files (`.csv`)

Each CSV file contains a single column with the header matching the parameter name (e.g., fill_level):

fill_level
0.0
0.006711
0.013423
...
0.993289
1.0

Values: Float in range [0, 1]
- 0.0 = Empty cup
- 1.0 = Full cup
Sampling Rate: 75 frames per second
Frame Alignment: Synchronized with audio duration

Frame calculation: For an audio file of duration T seconds, the CSV will have ⌊T × 75⌋ rows.

Parameter Definition (`parameters.json`)

{
    "parameter_1": {
        "name": "fill_level",
        "type": "continuous",
        "unit": "[0,1]",
        "min": 0,
        "max": 1
    }
}

Data Splits

Split	Files	Description
`train/`	25 pairs	Training set
`test/`	3 pairs	Test set

Usage

Limitations

Limited to single cup (metalic) type
Recorded in controlled environment, may not generalize to noisy conditions

Ethical Considerations

This dataset contains synthesized/recorded audio of water sounds with no personal information, privacy concerns, or sensitive content. No water was harmed in creating this dataset.