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Datasets:
AudioCC-Lab
/
PICSAFEv1

Tasks:
Audio Classification
Modalities:
Text
Audio
Formats:
json
Size:
10K - 100K
Tags:
audio
multi-label-classification
speech-quality
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
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1
chuang.li commited on
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1 Parent(s): 9a1f237

Remove audio data and document source downloads

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  1. README.md +29 -63
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README.md CHANGED
@@ -6,83 +6,49 @@ tags:
6
  - audio
7
  - multi-label-classification
8
  - speech-quality
9
- configs:
10
- - config_name: default
11
- data_files:
12
- - split: test
13
- path: data/**
14
- dataset_info:
15
- features:
16
- - name: audio
17
- dtype: audio
18
- - name: id
19
- dtype: string
20
- - name: source
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- dtype: string
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- - name: source_path
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- dtype: string
24
- - name: tags
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- sequence: string
26
- splits:
27
- - name: test
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- num_examples: 10728
29
  ---
30
 
31
- # Speech Quality Test Labels
32
 
33
- This dataset contains 10,728 audio files with multi-label annotations from 14 source datasets. It is intended as a test split for speech quality and audio-content classification.
34
 
35
- ## Dataset structure
36
 
37
- - `audio`: audio decoded from the file referenced by `file_name` in the metadata.
38
- - `id`: globally unique sample identifier. Its `[source]` prefix is retained from the original metadata.
39
- - `source`: source dataset name parsed from `id`.
40
- - `source_path`: path relative to the common directory of that source in the original manifest.
41
- - `tags`: multi-label annotations represented as a list of strings.
42
 
43
- The original machine-specific absolute paths have intentionally been removed.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
44
 
45
- ## Source distribution
46
-
47
- | Source | Samples |
48
- | --- | ---: |
49
- | CSTR-NAM-TIMIT-Plus | 842 |
50
- | DNS5_LibriVox | 510 |
51
- | EARS | 1,042 |
52
- | MSceneSpeech | 1,000 |
53
- | NISQA | 724 |
54
- | SOMOSv2 | 500 |
55
- | TencentCorpus | 1,010 |
56
- | VCTK | 1,000 |
57
- | WenetSpeech | 600 |
58
- | Whisper40 | 500 |
59
- | WSJ | 1,000 |
60
- | zhvoice | 500 |
61
- | LibriTTS-R | 500 |
62
- | LibriTTS | 1,000 |
63
-
64
- ## Labels
65
 
66
  The 33 labels are:
67
 
68
  `Nspk`, `distortion`, `emotional`, `enhanced`, `excessive_sibilance`, `fast_speed`, `female`, `high_pitch`, `imperceptible_noise_level`, `instantaneous_noise`, `low_noise_level`, `low_pitch`, `male`, `microphone_popping`, `mid_high_noise_level`, `music_or_effect`, `nb_noise`, `non_binary`, `non_speech`, `read_speech`, `real_recording`, `regular_pitch`, `regular_speed`, `reverberation`, `singing_voice`, `slow_speed`, `speech_overlap`, `spontaneous_speech`, `synthetic`, `vocal_sound`, `wb_noise`, `whispered_speech`, and `wrong_transcript`.
69
 
70
- ## Usage
71
-
72
- ```python
73
- from datasets import load_dataset
74
 
75
- dataset = load_dataset("YOUR_NAMESPACE/YOUR_DATASET_NAME", split="test")
76
- ```
77
 
78
- For a local checkout:
79
-
80
- ```python
81
- dataset = load_dataset("audiofolder", data_dir="data", split="test")
82
- ```
83
 
84
  ## Licensing and limitations
85
 
86
- The audio and annotations remain subject to their source datasets' terms. The license and redistribution permissions were not present in the source TSV; confirm them and replace this section with the final license terms before making the repository public.
87
-
88
- The labels may be imbalanced and should not be interpreted as exhaustive descriptions of each recording.
 
6
  - audio
7
  - multi-label-classification
8
  - speech-quality
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
+ # Speech Quality Test Labels (metadata-only)
12
 
13
+ This repository intentionally does **not** contain the `data/` directory or any audio files. The audio cannot be redistributed as a single package because the 14 source datasets have different access and copyright terms. This README records the subset counts, the label schema, and the official access paths for obtaining the original data independently.
14
 
15
+ The sample counts below refer to the subset used by PICSAFEv1, not the full size of each source dataset.
16
 
17
+ ## Source datasets and official access paths
 
 
 
 
18
 
19
+ | Source dataset | Samples | License / access note | Official download or access path |
20
+ | --- | ---: | --- | --- |
21
+ | CSTR-NAM-TIMIT-Plus | 842 | ODC-By 1.0 | [Edinburgh DataShare](https://datashare.ed.ac.uk/items/30d10e2e-0ccb-483b-b499-8b3c98ad0a2c/full) |
22
+ | DNS5_LibriVox | 510 | LibriVox public domain; jurisdiction restrictions may apply | [Microsoft DNS5 download instructions](https://github.com/microsoft/DNS-Challenge/blob/master/README.md) |
23
+ | EARS | 1,042 | CC BY-NC 4.0; non-commercial use | [Official GitHub repository](https://github.com/facebookresearch/ears_dataset) |
24
+ | MSceneSpeech | 1,000 | Dataset audio terms are not stated separately; confirm with authors | [Project page](https://speechai-demo.github.io/MSceneSpeech/) / [Google Drive](https://drive.google.com/drive/folders/12DSuH8ynBc82RYYHQZmMmp7q6O1xSVh5?usp=sharing) |
25
+ | NISQA (NISQA_TEST_FOR) | 724 | Original source terms; this subset is restricted to non-commercial research/forensic use | [NISQA Corpus wiki](https://github.com/gabrielmittag/NISQA/wiki/NISQA-Corpus) / [DepositOnce archive](https://depositonce.tu-berlin.de/items/b8908103-b0e8-4912-8144-aea65098fa1f) |
26
+ | SOMOSv2 | 500 | Research and non-commercial use only; redistribution under the same terms | [Zenodo record](https://zenodo.org/records/7378801) |
27
+ | TencentCorpus | 1,010 | No separate public audio license located; challenge access terms apply | [ConferencingSpeech2022 repository](https://github.com/runngezhang/ConferencingSpeech2022) / [challenge plan](https://tea-lab.tencent.com/ConferencingSpeech_2022_Challenge_Evaluation_Plan_version2.pdf) |
28
+ | VCTK | 1,000 | CC BY 4.0 for the official VCTK release; verify the exact version | [Edinburgh DataShare](https://datashare.ed.ac.uk/items/30e7453c-9ea8-48b4-8e18-f96d0dc62928/full) |
29
+ | WenetSpeech | 600 | CC BY 4.0; access requires the official form/password workflow | [OpenSLR SLR121](https://www.openslr.org/121/) |
30
+ | Whisper40 | 500 | No explicit dataset license located in the official repository | [Official GitHub repository](https://github.com/Lijingze666/whisper40) |
31
+ | WSJ | 1,000 | LDC User Agreement; license required | [WSJ0 / LDC93S6A](https://catalog.ldc.upenn.edu/LDC93S6A) and [WSJ1 / LDC94S13A](https://catalog.ldc.upenn.edu/LDC94S13A) |
32
+ | zhvoice | 500 | Mixed upstream datasets; no unified license | [Official GitHub repository](https://github.com/fighting41love/zhvoice) (Baidu download link is on the page) |
33
+ | LibriTTS-R | 500 | CC BY 4.0 | [OpenSLR SLR141](https://www.openslr.org/141) |
34
+ | LibriTTS | 1,000 | CC BY 4.0 | [OpenSLR SLR60](https://www.openslr.org/60/) |
35
 
36
+ ## Label schema
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
37
 
38
  The 33 labels are:
39
 
40
  `Nspk`, `distortion`, `emotional`, `enhanced`, `excessive_sibilance`, `fast_speed`, `female`, `high_pitch`, `imperceptible_noise_level`, `instantaneous_noise`, `low_noise_level`, `low_pitch`, `male`, `microphone_popping`, `mid_high_noise_level`, `music_or_effect`, `nb_noise`, `non_binary`, `non_speech`, `read_speech`, `real_recording`, `regular_pitch`, `regular_speed`, `reverberation`, `singing_voice`, `slow_speed`, `speech_overlap`, `spontaneous_speech`, `synthetic`, `vocal_sound`, `wb_noise`, `whispered_speech`, and `wrong_transcript`.
41
 
42
+ ## Metadata schema
 
 
 
43
 
44
+ The local preparation manifest uses these fields:
 
45
 
46
+ - `file_name`: audio basename.
47
+ - `id`: globally unique sample identifier with the `[source]` prefix.
48
+ - `source`: source dataset name.
49
+ - `source_path`: path relative to the local `data/` directory, when the source audio is available locally.
50
+ - `tags`: list of labels.
51
 
52
  ## Licensing and limitations
53
 
54
+ This repository does not grant, aggregate, or override any source-dataset license. Obtain the audio directly from the source providers and follow their current terms, attribution requirements, access restrictions, and applicable privacy/publicity rules. In particular, do not treat this metadata-only repository as permission to redistribute the underlying recordings.
 
 
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