| task_categories: | |
| - audio-classification | |
| language: | |
| - en | |
| dataset_info: | |
| features: | |
| - name: audio | |
| dtype: audio | |
| - name: scream_type | |
| dtype: string | |
| - name: song_name | |
| dtype: string | |
| - name: band_name | |
| dtype: string | |
| - name: album_name | |
| dtype: string | |
| - name: release_year | |
| dtype: int64 | |
| - name: video_id | |
| dtype: string | |
| - name: timestamp_start | |
| dtype: float64 | |
| - name: timestamp_end | |
| dtype: float64 | |
| - name: sample_rate | |
| dtype: int64 | |
| splits: | |
| - name: train | |
| num_bytes: 114577942.825 | |
| num_examples: 1575 | |
| download_size: 119156239 | |
| dataset_size: 114577942.825 | |
| # Dataset card for Scream Detection in Heavy Metal Music | |
| 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. | |
| Kalbag, V., & Lerch, A. (2022). Scream detection in heavy metal music. arXiv preprint arXiv:2205.05580. | |
| ### Data Fields | |
| * `audio`: the trimmed audio file from the song. | |
| * `scream_type`: the target variable for classification i.e. layered, lowfry, highfry, midfry, clean. | |
| * `band_name`: the name of the artist performing the song. | |
| * `album_name`: the name of the album where the song was released. | |
| * `song_name`: the name of the song. | |
| * `release_year`: the release year of the song. | |
| * `timestamp_start`: the start time of the snippet from the full audio. | |
| * `tiemstamp_end`: the end time of the snippet from the full audio. | |
| * `sample_rate`: the sampling rate of the audio. | |