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  1. README.md +7 -6
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@@ -9,14 +9,16 @@ dataset_info:
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  dtype: audio
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  - name: scream_type
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  dtype: string
 
 
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  - name: band_name
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  dtype: string
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  - name: album_name
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  dtype: string
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- - name: song_name
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- dtype: string
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  - name: release_year
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  dtype: int64
 
 
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  - name: timestamp_start
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  dtype: float64
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  - name: timestamp_end
@@ -25,10 +27,10 @@ dataset_info:
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  dtype: int64
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  splits:
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  - name: train
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- num_bytes: 114554317.825
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  num_examples: 1575
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- download_size: 119150676
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- dataset_size: 114554317.825
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  ---
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  # Dataset card for Scream Detection in Heavy Metal Music
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  This dataset contains the processed dataset used in the paper "Scream Detection in Heavy Metal Music" (Kalbag & Lerch, 2022) from the Georgia Institute of Technology.
@@ -48,4 +50,3 @@ Kalbag, V., & Lerch, A. (2022). Scream detection in heavy metal music. arXiv pre
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  * `tiemstamp_end`: the end time of the snippet from the full audio.
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  * `sample_rate`: the sampling rate of the audio.
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-
 
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  dtype: audio
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  - name: scream_type
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  dtype: string
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+ - name: song_name
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+ dtype: string
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  - name: band_name
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  dtype: string
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  - name: album_name
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  dtype: string
 
 
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  - name: release_year
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  dtype: int64
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+ - name: video_id
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+ dtype: string
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  - name: timestamp_start
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  dtype: float64
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  - name: timestamp_end
 
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  dtype: int64
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  splits:
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  - name: train
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+ num_bytes: 114577942.825
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  num_examples: 1575
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+ download_size: 119156239
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+ dataset_size: 114577942.825
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  ---
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  # Dataset card for Scream Detection in Heavy Metal Music
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  This dataset contains the processed dataset used in the paper "Scream Detection in Heavy Metal Music" (Kalbag & Lerch, 2022) from the Georgia Institute of Technology.
 
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  * `tiemstamp_end`: the end time of the snippet from the full audio.
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  * `sample_rate`: the sampling rate of the audio.
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