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Duplicate from KintsugiHealth/dam-dataset

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Co-authored-by: Oleksii Abramenko <oleksii-a@users.noreply.huggingface.co>

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  1. .gitattributes +60 -0
  2. README.md +164 -0
  3. data/test-00000-of-00001.parquet +3 -0
  4. data/validation-00000-of-00001.parquet +3 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ # Video files - compressed
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
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+ *.webm filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ dataset_info:
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+ features:
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+ - name: user
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+ dtype: string
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+ - name: age
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+ dtype: int64
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+ - name: ethnicity
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: phq1
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+ dtype: float64
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+ - name: phq2
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+ dtype: float64
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+ - name: phq3
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+ dtype: float64
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+ - name: phq4
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+ dtype: int64
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+ - name: phq5
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+ dtype: int64
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+ - name: phq6
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+ dtype: int64
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+ - name: phq
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+ - name: phq_2
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+ - name: gad1
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+ - name: prompt_vad_trimmed_duration
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+ dtype: float64
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+ - name: conversational_vad_cut_duration
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+ dtype: float64
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+ - name: conversational_vad_trimmed_duration
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+ dtype: float64
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+ - name: mos_pred
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+ dtype: float64
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+ dtype: float64
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+ - name: loud_pred
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+ - name: dis_pred
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+ - name: col_pred
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+ dtype: float64
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+ - name: bin_phq
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+ dtype: int64
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+ - name: bin_gad
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+ dtype: int64
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+ - name: split
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+ dtype: string
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+ - name: prompt
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+ dtype: string
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+ - name: state
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+ dtype: string
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+ - name: income
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+ dtype: string
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+ - name: english_preferred
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+ dtype: string
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+ - name: preferred_lang
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+ dtype: string
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+ - name: scores_anxiety
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+ dtype: float64
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+ - name: quantized_labels_anxiety
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+ dtype: int64
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+ - name: scores_depression
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+ dtype: float64
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+ - name: quantized_labels_depression
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+ dtype: int64
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+ - name: is_unbiased
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+ dtype: bool
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+ splits:
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+ - name: validation
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+ num_bytes: 4337865
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+ num_examples: 8113
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+ - name: test
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+ num_bytes: 3743545
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+ num_examples: 7034
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+ download_size: 1717911
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+ dataset_size: 8081410
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: validation
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+ path: data/validation-*
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+ - split: test
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+ path: data/test-*
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+ license: apache-2.0
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+ ---
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+ # Overview
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+ This dataset includes audio-based model scores, clinical mental health labels, and demographic metadata for the validation and test sets used in the development of https://huggingface.co/KintsugiHealth/dam. Demographic statistics covering the training set as well are included in this model card.
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+
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+ The model was trained and evaluated on a large-scale speech dataset collected from approximately 35,000 individuals via phone, tablet, or web app, which corresponds to ~863 hours of speech data. The data was collected by asking each subject to speak for about 1 minute to various non-mental-health related prompts, e.g. talking about a favorite hobby or sport.
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+ Ground-truth labels were derived from both clinician-administered and self-reported PHQ-9 and GAD-7 questionnaires, ensuring strong alignment with established clinical assessment standards.
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+ The data consists predominantly of American English speech. However, a broad range of accents is represented, providing robustness across diverse speaking styles.
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+
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+ This data has been redacted for privacy purposes, so no personally identifiable information is included. In particular, the audio itself is excluded. In its place are model scores predicted by https://huggingface.co/KintsugiHealth/dam. Any audio streams containing less than the 30 seconds of speech needed to run this model have also been excluded from the dataset, but are included in the demographic statistics below.
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+
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+ While it is not possible to verify these scores by running the model directly, since the input audio is redacted, the authors hope the scores, accompanying labels, demographic data are useful for threshold tuning and independent research questions.
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+
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+ # Demographics
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+
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+ | | Train | Validation | Test | Total |
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+ |:-------------------------------------------------------|:------------|:-------------|:------------|:------------|
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+ | Number of unique subjects | 23,743 | 6,047 | 5,353 | 34,457 |
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+ | Total number of audio files | 43,945 | 11,073 | 9,810 | 64,828 |
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+ | Audio duration, s - Average (SD) | 56.4 (13.6) | 56.8 (13.8) | 56.1 (13.6) | 56.4 (13.7) |
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+ | Audio duration, s - Median | 56.8 | 57.6 | 55.7 | 56.7 |
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+ | Audio duration, s - Mode | 79.9 | 79.9 | 79.9 | 79.9 |
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+ | Audio duration, s - Range | 30-229 | 31-231 | 31-176 | 30-231 |
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+ | Audio duration, hr - Total | 688.5 | 174.7 | 152.9 | 863.2 |
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+ | Age, y - Range | 18+ | 18+ | 18+ | 18+ |
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+ | Age, y - Average (SD) | 45.2 (16.8) | 45.4 (16.8) | 45.5 (16.7) | 45.3 (16.8) |
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+ | Age, y - Median | 42 | 43 | 43 | 42 |
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+ | Age, y - Mode | 30 | 30 | 41 | 30 |
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+ | Gender, % - Female | 57.5 | 57.8 | 57.8 | 57.6 |
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+ | Gender, % - Male | 41.1 | 41 | 40.7 | 41 |
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+ | Gender, % - Not specified | 0.4 | 0.4 | 0.3 | 0.3 |
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+ | Gender, % - Other | 0.8 | 0.7 | 0.8 | 0.8 |
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+ | Race/ethnicity, % - Asian or Pacific Islander | 5.9 | 6 | 6 | 6 |
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+ | Race/ethnicity, % - Black or African American | 12.6 | 12.5 | 11.8 | 12.5 |
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+ | Race/ethnicity, % - Hispanic or Latine | 17 | 17.2 | 17.7 | 17.2 |
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+ | Race/ethnicity, % - Native American or American Indian | 0.9 | 0.8 | 0.8 | 0.8 |
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+ | Race/ethnicity, % - Not specified | 2.9 | 2.9 | 2.9 | 2.9 |
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+ | Race/ethnicity, % - Other or mixed race | 4.4 | 4.4 | 4.4 | 4.4 |
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+ | Race/ethnicity, % - White | 56.2 | 56.1 | 56.5 | 56.2 |
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+ | PHQ-9 score - Average (SD) | 8.7 (6.7) | 8.7 (6.8) | 8.8 (6.8) | 8.7 (6.7) |
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+ | PHQ-9 score - Median | 7 | 7 | 8 | 7 |
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+ | PHQ-9 score - Mode | 0 | 0 | 0 | 0 |
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+ | PHQ-9 score - Range | 0-27 | 0-27 | 0-27 | 0-27 |
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+ | GAD-7 score - Average (SD) | 7.3 (6.1) | 7.3 (6.2) | 7.4 (6.2) | 7.3 (6.2) |
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+ | GAD-7 score - Median | 6 | 6 | 6 | 6 |
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+ | GAD-7 score - Mode | 0 | 0 | 0 | 0 |
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+ | GAD-7 score - Range | 0-21 | 0-21 | 0-21 | 0-21 |
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+
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+ # Threshold tuning
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+
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+ Illustrations of how to use this data to tune model thresholds are provided in the model card https://huggingface.co/KintsugiHealth/dam.
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