libricount / README.md
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---
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