--- datasets: - enyoukai/libricount library_name: datasets tags: - audio - speech dataset_info: features: - name: mixture_filename dtype: string - name: mixture_path dtype: string - name: k dtype: int64 - name: components list: - name: chosen_start_sec dtype: float64 - name: speaker_id dtype: string - name: utterance_id dtype: string - name: utterance_length_sec dtype: float64 - name: audio dtype: audio splits: - name: k1 num_bytes: 640430247.0 num_examples: 2000 - name: k2 num_bytes: 640516092.0 num_examples: 2000 - name: k3 num_bytes: 640602191.0 num_examples: 2000 - name: k4 num_bytes: 640687924.0 num_examples: 2000 - name: k5 num_bytes: 640773885.0 num_examples: 2000 - name: k6 num_bytes: 640859789.0 num_examples: 2000 - name: k7 num_bytes: 640945405.0 num_examples: 2000 - name: k8 num_bytes: 641031873.0 num_examples: 2000 - name: k9 num_bytes: 641117546.0 num_examples: 2000 - name: k10 num_bytes: 641207541.0 num_examples: 2000 download_size: 6392980636 dataset_size: 6408172493.0 configs: - config_name: default data_files: - split: k1 path: data/k1-* - split: k2 path: data/k2-* - split: k3 path: data/k3-* - split: k4 path: data/k4-* - split: k5 path: data/k5-* - split: k6 path: data/k6-* - split: k7 path: data/k7-* - split: k8 path: data/k8-* - split: k9 path: data/k9-* - split: k10 path: data/k10-* --- # Libricount Mixture audios grouped by number of speakers K with per-speaker components and chosen start times. Splits are named 'k1', 'k5', 'k10', etc. ## Loading ```python from datasets import load_dataset ds = load_dataset("enyoukai/libricount") print(ds) # DatasetDict with splits by K (e.g., 'k1', 'k5', 'k10') k5 = load_dataset("enyoukai/libricount", split="k5") row = k5[0] audio = row["audio"] # dict with path/array ``` ## Features - mixture_filename: str - mixture_path: str - k: int (number of speakers in mixture) - components: list of speaker component dicts (length == k) - audio: audio column