Datasets:
Tasks:
Automatic Speech Recognition
Sub-tasks:
keyword-spotting
Size:
10K<n<100K
ArXiv:
Tags:
speech-recognition
License:
Upload 3 files
#29
by
Krazybeautiful85
- opened
- README (1).md +188 -0
- gitattributes.txt +38 -0
README (1).md
ADDED
@@ -0,0 +1,188 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
annotations_creators:
|
3 |
+
- expert-generated
|
4 |
+
- crowdsourced
|
5 |
+
- machine-generated
|
6 |
+
language_creators:
|
7 |
+
- crowdsourced
|
8 |
+
- expert-generated
|
9 |
+
language:
|
10 |
+
- en
|
11 |
+
- fr
|
12 |
+
- it
|
13 |
+
- es
|
14 |
+
- pt
|
15 |
+
- de
|
16 |
+
- nl
|
17 |
+
- ru
|
18 |
+
- pl
|
19 |
+
- cs
|
20 |
+
- ko
|
21 |
+
- zh
|
22 |
+
license:
|
23 |
+
- cc-by-4.0
|
24 |
+
multilinguality:
|
25 |
+
- multilingual
|
26 |
+
size_categories:
|
27 |
+
- 10K<n<100K
|
28 |
+
task_categories:
|
29 |
+
- automatic-speech-recognition
|
30 |
+
task_ids:
|
31 |
+
- keyword-spotting
|
32 |
+
pretty_name: MInDS-14
|
33 |
+
language_bcp47:
|
34 |
+
- en
|
35 |
+
- en-GB
|
36 |
+
- en-US
|
37 |
+
- en-AU
|
38 |
+
- fr
|
39 |
+
- it
|
40 |
+
- es
|
41 |
+
- pt
|
42 |
+
- de
|
43 |
+
- nl
|
44 |
+
- ru
|
45 |
+
- pl
|
46 |
+
- cs
|
47 |
+
- ko
|
48 |
+
- zh
|
49 |
+
tags:
|
50 |
+
- speech-recognition
|
51 |
+
---
|
52 |
+
|
53 |
+
# MInDS-14
|
54 |
+
|
55 |
+
## Dataset Description
|
56 |
+
|
57 |
+
- **Fine-Tuning script:** [pytorch/audio-classification](https://github.com/huggingface/transformers/tree/main/examples/pytorch/audio-classification)
|
58 |
+
- **Paper:** [Multilingual and Cross-Lingual Intent Detection from Spoken Data](https://arxiv.org/abs/2104.08524)
|
59 |
+
- **Total amount of disk used:** ca. 500 MB
|
60 |
+
|
61 |
+
MINDS-14 is training and evaluation resource for intent detection task with spoken data. It covers 14
|
62 |
+
intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties.
|
63 |
+
|
64 |
+
## Example
|
65 |
+
|
66 |
+
MInDS-14 can be downloaded and used as follows:
|
67 |
+
|
68 |
+
```py
|
69 |
+
from datasets import load_dataset
|
70 |
+
|
71 |
+
minds_14 = load_dataset("PolyAI/minds14", "fr-FR") # for French
|
72 |
+
# to download all data for multi-lingual fine-tuning uncomment following line
|
73 |
+
# minds_14 = load_dataset("PolyAI/all", "all")
|
74 |
+
|
75 |
+
# see structure
|
76 |
+
print(minds_14)
|
77 |
+
|
78 |
+
# load audio sample on the fly
|
79 |
+
audio_input = minds_14["train"][0]["audio"] # first decoded audio sample
|
80 |
+
intent_class = minds_14["train"][0]["intent_class"] # first transcription
|
81 |
+
intent = minds_14["train"].features["intent_class"].names[intent_class]
|
82 |
+
|
83 |
+
# use audio_input and language_class to fine-tune your model for audio classification
|
84 |
+
```
|
85 |
+
|
86 |
+
## Dataset Structure
|
87 |
+
|
88 |
+
We show detailed information the example configurations `fr-FR` of the dataset.
|
89 |
+
All other configurations have the same structure.
|
90 |
+
|
91 |
+
### Data Instances
|
92 |
+
|
93 |
+
**fr-FR**
|
94 |
+
|
95 |
+
- Size of downloaded dataset files: 471 MB
|
96 |
+
- Size of the generated dataset: 300 KB
|
97 |
+
- Total amount of disk used: 471 MB
|
98 |
+
|
99 |
+
|
100 |
+
An example of a datainstance of the config `fr-FR` looks as follows:
|
101 |
+
|
102 |
+
```
|
103 |
+
{
|
104 |
+
"path": "/home/patrick/.cache/huggingface/datasets/downloads/extracted/3ebe2265b2f102203be5e64fa8e533e0c6742e72268772c8ac1834c5a1a921e3/fr-FR~ADDRESS/response_4.wav",
|
105 |
+
"audio": {
|
106 |
+
"path": "/home/patrick/.cache/huggingface/datasets/downloads/extracted/3ebe2265b2f102203be5e64fa8e533e0c6742e72268772c8ac1834c5a1a921e3/fr-FR~ADDRESS/response_4.wav",
|
107 |
+
"array": array(
|
108 |
+
[0.0, 0.0, 0.0, ..., 0.0, 0.00048828, -0.00024414], dtype=float32
|
109 |
+
),
|
110 |
+
"sampling_rate": 8000,
|
111 |
+
},
|
112 |
+
"transcription": "je souhaite changer mon adresse",
|
113 |
+
"english_transcription": "I want to change my address",
|
114 |
+
"intent_class": 1,
|
115 |
+
"lang_id": 6,
|
116 |
+
}
|
117 |
+
```
|
118 |
+
|
119 |
+
### Data Fields
|
120 |
+
The data fields are the same among all splits.
|
121 |
+
|
122 |
+
- **path** (str): Path to the audio file
|
123 |
+
- **audio** (dict): Audio object including loaded audio array, sampling rate and path ot audio
|
124 |
+
- **transcription** (str): Transcription of the audio file
|
125 |
+
- **english_transcription** (str): English transcription of the audio file
|
126 |
+
- **intent_class** (int): Class id of intent
|
127 |
+
- **lang_id** (int): Id of language
|
128 |
+
|
129 |
+
### Data Splits
|
130 |
+
Every config only has the `"train"` split containing of *ca.* 600 examples.
|
131 |
+
|
132 |
+
## Dataset Creation
|
133 |
+
|
134 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
135 |
+
|
136 |
+
## Considerations for Using the Data
|
137 |
+
|
138 |
+
### Social Impact of Dataset
|
139 |
+
|
140 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
141 |
+
|
142 |
+
### Discussion of Biases
|
143 |
+
|
144 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
145 |
+
|
146 |
+
### Other Known Limitations
|
147 |
+
|
148 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
149 |
+
|
150 |
+
## Additional Information
|
151 |
+
|
152 |
+
### Dataset Curators
|
153 |
+
|
154 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
155 |
+
|
156 |
+
### Licensing Information
|
157 |
+
|
158 |
+
All datasets are licensed under the [Creative Commons license (CC-BY)](https://creativecommons.org/licenses/).
|
159 |
+
|
160 |
+
### Citation Information
|
161 |
+
|
162 |
+
```
|
163 |
+
@article{DBLP:journals/corr/abs-2104-08524,
|
164 |
+
author = {Daniela Gerz and
|
165 |
+
Pei{-}Hao Su and
|
166 |
+
Razvan Kusztos and
|
167 |
+
Avishek Mondal and
|
168 |
+
Michal Lis and
|
169 |
+
Eshan Singhal and
|
170 |
+
Nikola Mrksic and
|
171 |
+
Tsung{-}Hsien Wen and
|
172 |
+
Ivan Vulic},
|
173 |
+
title = {Multilingual and Cross-Lingual Intent Detection from Spoken Data},
|
174 |
+
journal = {CoRR},
|
175 |
+
volume = {abs/2104.08524},
|
176 |
+
year = {2021},
|
177 |
+
url = {https://arxiv.org/abs/2104.08524},
|
178 |
+
eprinttype = {arXiv},
|
179 |
+
eprint = {2104.08524},
|
180 |
+
timestamp = {Mon, 26 Apr 2021 17:25:10 +0200},
|
181 |
+
biburl = {https://dblp.org/rec/journals/corr/abs-2104-08524.bib},
|
182 |
+
bibsource = {dblp computer science bibliography, https://dblp.org}
|
183 |
+
}
|
184 |
+
```
|
185 |
+
|
186 |
+
### Contributions
|
187 |
+
|
188 |
+
Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset
|
gitattributes.txt
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
4 |
+
*.bin.* filter=lfs diff=lfs merge=lfs -text
|
5 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
11 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
12 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
13 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
14 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
15 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
16 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
17 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
18 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
19 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
20 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
21 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
22 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
23 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
24 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
25 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
26 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
27 |
+
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
28 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
29 |
+
# Audio files - uncompressed
|
30 |
+
*.pcm filter=lfs diff=lfs merge=lfs -text
|
31 |
+
*.sam filter=lfs diff=lfs merge=lfs -text
|
32 |
+
*.raw filter=lfs diff=lfs merge=lfs -text
|
33 |
+
# Audio files - compressed
|
34 |
+
*.aac filter=lfs diff=lfs merge=lfs -text
|
35 |
+
*.flac filter=lfs diff=lfs merge=lfs -text
|
36 |
+
*.mp3 filter=lfs diff=lfs merge=lfs -text
|
37 |
+
*.ogg filter=lfs diff=lfs merge=lfs -text
|
38 |
+
*.wav filter=lfs diff=lfs merge=lfs -text
|