| {"mohamed-illiyas--wav2vec2-base-lj-demo-colab": {"description": "This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading\npassages from 7 non-fiction books in English. A transcription is provided for each clip. Clips vary in length\nfrom 1 to 10 seconds and have a total length of approximately 24 hours.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .wav format and is not converted to a float32 array. To convert the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport soundfile as sf\n\ndef map_to_array(batch):\n speech_array, _ = sf.read(batch[\"file\"])\n batch[\"speech\"] = speech_array\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "@misc{ljspeech17,\n author = {Keith Ito and Linda Johnson},\n title = {The LJ Speech Dataset},\n howpublished = {\\url{https://keithito.com/LJ-Speech-Dataset/}},\n year = 2017\n}\n", "homepage": "https://keithito.com/LJ-Speech-Dataset/", "license": "", "features": {"input_values": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "input_length": {"dtype": "int64", "id": null, "_type": "Value"}, "labels": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": null, "config_name": null, "version": null, "splits": {"train": {"name": "train", "num_bytes": 4420174248, "num_examples": 10480, "dataset_name": "wav2vec2-base-lj-demo-colab"}, "test": {"name": "test", "num_bytes": 1101889904, "num_examples": 2620, "dataset_name": "wav2vec2-base-lj-demo-colab"}}, "download_checksums": null, "download_size": 5520683127, "post_processing_size": null, "dataset_size": 5522064152, "size_in_bytes": 11042747279}} |