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README.md

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----
-license: cc-by-4.0
-task_categories:
-- text-to-speech
-language:
-- en
-size_categories:
-- 10K<n<100K
-
-configs:
-- config_name: dev
-  data_files:
-  - split: dev.clean
-    path: "data/dev.clean/dev.clean*.parquet"
-    
-- config_name: clean
-  data_files:
-  - split: dev.clean
-    path: "data/dev.clean/dev.clean*.parquet"
-  - split: test.clean
-    path: "data/test.clean/test.clean*.parquet"
-  - split: train.clean.100
-    path: "data/train.clean.100/train.clean.100*.parquet"
-  - split: train.clean.360
-    path: "data/train.clean.360/train.clean.360*.parquet"
-    
-- config_name: other
-  data_files:
-  - split: dev.other
-    path: "data/dev.other/dev.other*.parquet"
-  - split: test.other
-    path: "data/test.other/test.other*.parquet"
-  - split: train.other.500
-    path: "data/train.other.500/train.other.500*.parquet"
-    
-- config_name: all
-  data_files:
-  - split: dev.clean
-    path: "data/dev.clean/dev.clean*.parquet"
-  - split: dev.other
-    path: "data/dev.other/dev.other*.parquet"
-  - split: test.clean
-    path: "data/test.clean/test.clean*.parquet"
-  - split: test.other
-    path: "data/test.other/test.other*.parquet"
-  - split: train.clean.100
-    path: "data/train.clean.100/train.clean.100*.parquet"
-  - split: train.clean.360
-    path: "data/train.clean.360/train.clean.360*.parquet"
-  - split: train.other.500
-    path: "data/train.other.500/train.other.500*.parquet"
----
-# Dataset Card for LibriTTS-R
-
-<!-- Provide a quick summary of the dataset. -->
-
-LibriTTS-R [1] is a sound quality improved version of the LibriTTS corpus 
-(http://www.openslr.org/60/) which is a multi-speaker English corpus of approximately 
-585 hours of read English speech at 24kHz sampling rate, published in 2019.
-
-## Overview
-
-This is the LibriTTS-R dataset, adapted for the `datasets` library.
-
-## Usage
-
-### Splits
-
-There are 7 splits (dots replace dashes from the original dataset, to comply with hf naming requirements):
-
-- dev.clean
-- dev.other
-- test.clean
-- test.other
-- train.clean.100
-- train.clean.360
-- train.other.500
-
-### Configurations
-
-There are 3 configurations, each which limits the splits the `load_dataset()` function will download.
-
-The default configuration is "all".
-
-- "dev": only the "dev.clean" split (good for testing the dataset quickly)
-- "clean": contains only "clean" splits
-- "other": contains only "other" splits
-- "all": contains only "all" splits
-
-### Example
-
-Loading the `clean` config with only the `train.clean.360` split.
-```
-load_dataset("blabble-io/libritts_r", "clean", split="train.clean.100")
-```
-
-Streaming is also supported.
-```
-load_dataset("blabble-io/libritts_r", streaming=True)
-```
-
-### Columns
-
-```
-{
-    "audio": datasets.Audio(sampling_rate=24_000),
-    "text_normalized": datasets.Value("string"),
-    "text_original": datasets.Value("string"),
-    "speaker_id": datasets.Value("string"),
-    "path": datasets.Value("string"),
-    "chapter_id": datasets.Value("string"),
-    "id": datasets.Value("string"),
-}
-```
-
-### Example Row
-
-```
-{
-  'audio': {
-    'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/5551a515e85b9e463062524539c2e1cb52ba32affe128dffd866db0205248bdd/LibriTTS_R/dev-clean/3081/166546/3081_166546_000028_000002.wav', 
-    'array': ..., 
-    'sampling_rate': 24000
-  }, 
-  'text_normalized': 'How quickly he disappeared!"',
-  'text_original': 'How quickly he disappeared!"',
-  'speaker_id': '3081', 
-  'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/5551a515e85b9e463062524539c2e1cb52ba32affe128dffd866db0205248bdd/LibriTTS_R/dev-clean/3081/166546/3081_166546_000028_000002.wav', 
-  'chapter_id': '166546', 
-  'id': '3081_166546_000028_000002'
-}
-```
-
-## Dataset Details
-
-### Dataset Description
-
-- **License:** CC BY 4.0
-
-### Dataset Sources [optional]
-
-<!-- Provide the basic links for the dataset. -->
-
-- **Homepage:** https://www.openslr.org/141/
-- **Paper:** https://arxiv.org/abs/2305.18802
-
-## Citation
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-
-```
-@ARTICLE{Koizumi2023-hs,
-  title         = "{LibriTTS-R}: A restored multi-speaker text-to-speech corpus",
-  author        = "Koizumi, Yuma and Zen, Heiga and Karita, Shigeki and Ding,
-                   Yifan and Yatabe, Kohei and Morioka, Nobuyuki and Bacchiani,
-                   Michiel and Zhang, Yu and Han, Wei and Bapna, Ankur",
-  abstract      = "This paper introduces a new speech dataset called
-                   ``LibriTTS-R'' designed for text-to-speech (TTS) use. It is
-                   derived by applying speech restoration to the LibriTTS
-                   corpus, which consists of 585 hours of speech data at 24 kHz
-                   sampling rate from 2,456 speakers and the corresponding
-                   texts. The constituent samples of LibriTTS-R are identical
-                   to those of LibriTTS, with only the sound quality improved.
-                   Experimental results show that the LibriTTS-R ground-truth
-                   samples showed significantly improved sound quality compared
-                   to those in LibriTTS. In addition, neural end-to-end TTS
-                   trained with LibriTTS-R achieved speech naturalness on par
-                   with that of the ground-truth samples. The corpus is freely
-                   available for download from
-                   \textbackslashurl\{http://www.openslr.org/141/\}.",
-  month         =  may,
-  year          =  2023,
-  copyright     = "http://creativecommons.org/licenses/by-nc-nd/4.0/",
-  archivePrefix = "arXiv",
-  primaryClass  = "eess.AS",
-  eprint        = "2305.18802"
-}
-```

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