Bryan Thornbury commited on
Commit
bda16b5
1 Parent(s): 4e2774d

test mp3 internal encoding

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README.md CHANGED
@@ -1,5 +1,5 @@
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  ---
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- license: cc-by-4.0
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  task_categories:
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  - text-to-speech
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  - text-to-audio
@@ -20,7 +20,7 @@ configs:
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  ---
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  # Dataset Card for Libriheavy-HQ
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- WIP: This dataset is still a WIP, check back later.
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  <!-- Provide a quick summary of the dataset. -->
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@@ -28,7 +28,7 @@ WIP: This dataset is still a WIP, check back later.
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  and context. Libriheavy is a labeled version of Libri-Light.
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  Libriheavy-HQ replaces the default Libri-Light audio files with the highest quality available versions from librivox
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- encoded as .wav files at a 48khz sampling rate.
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  In most cases, this consists an upgrade of the source audio from a 64kbps .mp3 to a 128kbps .mp3.
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@@ -42,11 +42,18 @@ This is the Libriheavy-HQ dataset, adapted for the `datasets` library.
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  Currently, only the "small" subset of [Libriheavy](https://huggingface.co/datasets/pkufool/libriheavy) is available.
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- In the future, the "medium", and "large" will be available.
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  The default configuration is "small".
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- - "small": 509 hours of speech. 417 speakers averaging 1.22 hours per speaker. Does not overlap with other subsets.
 
 
 
 
 
 
 
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  ### Example
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@@ -66,7 +73,7 @@ load_dataset("mythicinfinity/libriheavy-hq", streaming=True)
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  {
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  "id": datasets.Value("string"),
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  "speaker_id": datasets.Value("string"),
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- "audio": datasets.Audio(sampling_rate=48_000, mono=True),
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  "audio_duration": datasets.Value("float32"),
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  "text_original": datasets.Value("string"),
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  "text_transcription": datasets.Value("string"),
@@ -74,24 +81,6 @@ load_dataset("mythicinfinity/libriheavy-hq", streaming=True)
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  }
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  ```
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- ### Example Row
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-
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- ```
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- {
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- 'audio': {
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- 'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/5551a515e85b9e463062524539c2e1cb52ba32affe128dffd866db0205248bdd/LibriTTS/dev-clean/3081/166546/3081_166546_000028_000002.wav',
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- 'array': ...,
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- 'sampling_rate': 24000
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- },
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- 'text_normalized': 'How quickly he disappeared!"',
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- 'text_original': 'How quickly he disappeared!"',
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- 'speaker_id': '3081',
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- 'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/5551a515e85b9e463062524539c2e1cb52ba32affe128dffd866db0205248bdd/LibriTTS/dev-clean/3081/166546/3081_166546_000028_000002.wav',
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- 'chapter_id': '166546',
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- 'id': '3081_166546_000028_000002'
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- }
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- ```
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-
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  ## Dataset Details
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  ### Dataset Description
@@ -114,7 +103,7 @@ load_dataset("mythicinfinity/libriheavy-hq", streaming=True)
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  author = {{Thornbury, Bryan and Mythic Infinity Labs}},
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  title = {{Libriheavy-HQ}},
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  year = {2024},
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- url = {https://huggingface.co/mythicinfinity/libriheavy-hq},
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  }
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  @misc{kang2023libriheavy,
 
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  ---
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+ license: apache-2.0
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  task_categories:
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  - text-to-speech
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  - text-to-audio
 
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  ---
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  # Dataset Card for Libriheavy-HQ
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+ WIP: This is still a WIP, check back later.
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  <!-- Provide a quick summary of the dataset. -->
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  and context. Libriheavy is a labeled version of Libri-Light.
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  Libriheavy-HQ replaces the default Libri-Light audio files with the highest quality available versions from librivox
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+ without re-encoding them.
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  In most cases, this consists an upgrade of the source audio from a 64kbps .mp3 to a 128kbps .mp3.
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  Currently, only the "small" subset of [Libriheavy](https://huggingface.co/datasets/pkufool/libriheavy) is available.
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+ In the future, all listed subsets will be available.
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  The default configuration is "small".
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+ - "small": 509 hours of speech. 417 speakers averaging 1.22 hours per speaker.
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+ - "medium": 5042 hours of speech. 1531 speakers averaging 3.29 hours per speaker.
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+ - "large": 50794 hours of speech. 6736 speakers averaging 7.54 hours per speaker.
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+ - "dev": 22.3 hours of speech. 141 speakers averaging 0.16 hours per speaker.
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+ - "test.clean": 10.5 hours of speech. 70 speakers averaging 0.15 hours per speaker.
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+ - "test.other": 11.5 hours of speech. 72 speakers averaging 0.16 hours per speaker.
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+ - "test.clean.large": 107.5 hours of speech. 72 speakers averaging 1.49 hours per speaker.
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+ - "test.other.large": 100.3 hours of speech. 73 speakers averaging 1.37 hours per speaker.
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  ### Example
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  {
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  "id": datasets.Value("string"),
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  "speaker_id": datasets.Value("string"),
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+ "audio": datasets.Audio(sampling_rate=44_100, mono=True),
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  "audio_duration": datasets.Value("float32"),
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  "text_original": datasets.Value("string"),
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  "text_transcription": datasets.Value("string"),
 
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  }
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  ```
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  ## Dataset Details
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  ### Dataset Description
 
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  author = {{Thornbury, Bryan and Mythic Infinity Labs}},
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  title = {{Libriheavy-HQ}},
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  year = {2024},
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+ url = {https://huggingface.co/datasets/mythicinfinity/libriheavy-hq},
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  }
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  @misc{kang2023libriheavy,
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