Hugging Face's logo

Datasets:
enyoukai
/
libricount

Modalities:
Audio
Text
Formats:
parquet
Size:
10K - 100K
Tags:
audio
speech
Libraries:
Datasets
pandas
Dataset card Data Studio Files
xet
Community
1
libricount
File size: 2,188 Bytes 
8d25071
 
 
 
 
 
 
2d9913a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8d25071
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
 
---
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