keithito/lj_speech
This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books in English. A transcription is provided for each clip. Clips vary in length from 1 to 10 seconds and have a total length of approximately 24 hours. Note that in order to limit the required storage for preparing this dataset, the audio is stored in the .wav format and is not converted to a float32 array. To convert the audio file to a float32 array, please make use of the `.map()` function as follows: ```python import soundfile as sf def map_to_array(batch): speech_array, _ = sf.read(batch["file"]) batch["speech"] = speech_array return batch dataset = dataset.map(map_to_array, remove_columns=["file"]) ```
Remove deprecated tasks (#7)
Revert Convert dataset to Parquet (#6)
Convert dataset to Parquet (#3)
Delete legacy JSON metadata (#2)
Enrich card with TTS tag (#1)
add dataset_info in dataset metadata
remove dummmy data
Align/fix license metadata info (#4613)
Eval metadata batch 2 : Health Fact, Jigsaw Toxicity, LIAR, LJ Speech, MSRA NER, Multi News, NCBI Disease, Poem Sentiment (#4336)
Update datasets task tags to align tags with models (#4067)
Use audio feature in ASR task template (#4006)
Update files from the datasets library (from 1.18.0)
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Update files from the datasets library (from 1.13.3)
Update files from the datasets library (from 1.13.0)
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Update files from the datasets library (from 1.6.0)
Update files from the datasets library (from 1.3.0)