Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: ValueError
Message:
Expected data_files in YAML to be either a string or a list of strings
or a list of dicts with two keys: 'split' and 'path', but got [{'split': 'train-clean-100', 'path': 'train-clean-100/metadata.jsonl'}, {'split': 'train-clean-360', 'path': 'train-clean-360/metadata.jsonl'}, {'split': 'train-other-500', 'path': 'train-other-500/metadata.jsonl'}, {'split': 'dev-clean', 'path': 'dev-clean/metadata.jsonl'}, {'split': 'dev-other', 'path': 'dev-other/metadata.jsonl'}, {'split': 'test-clean', 'path': 'test-clean/metadata.jsonl'}, {'split': 'test-other', 'path': 'test-other/metadata.jsonl'}]
Examples of data_files in YAML:
data_files: data.csv
data_files: data/*.png
data_files:
- part0/*
- part1/*
data_files:
- split: train
path: train/*
- split: test
path: test/*
data_files:
- split: train
path:
- train/part1/*
- train/part2/*
- split: test
path: test/*
PS: some symbols like dashes '-' are not allowed in split names
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 611, in get_module
metadata_configs = MetadataConfigs.from_dataset_card_data(dataset_card_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/metadata.py", line 153, in from_dataset_card_data
cls._raise_if_data_files_field_not_valid(metadata_config)
File "/usr/local/lib/python3.12/site-packages/datasets/utils/metadata.py", line 100, in _raise_if_data_files_field_not_valid
raise ValueError(yaml_error_message)
ValueError:
Expected data_files in YAML to be either a string or a list of strings
or a list of dicts with two keys: 'split' and 'path', but got [{'split': 'train-clean-100', 'path': 'train-clean-100/metadata.jsonl'}, {'split': 'train-clean-360', 'path': 'train-clean-360/metadata.jsonl'}, {'split': 'train-other-500', 'path': 'train-other-500/metadata.jsonl'}, {'split': 'dev-clean', 'path': 'dev-clean/metadata.jsonl'}, {'split': 'dev-other', 'path': 'dev-other/metadata.jsonl'}, {'split': 'test-clean', 'path': 'test-clean/metadata.jsonl'}, {'split': 'test-other', 'path': 'test-other/metadata.jsonl'}]
Examples of data_files in YAML:
data_files: data.csv
data_files: data/*.png
data_files:
- part0/*
- part1/*
data_files:
- split: train
path: train/*
- split: test
path: test/*
data_files:
- split: train
path:
- train/part1/*
- train/part2/*
- split: test
path: test/*
PS: some symbols like dashes '-' are not allowed in split namesNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Amicus_LibriSpeech
Self-contained Amicus speech dataset packaged for Hugging Face audiofolder.
Splits
- train-clean-100: 28539 samples, 100.5905 hours
- train-clean-360: 104014 samples, 363.6054 hours
- train-other-500: 148686 samples, 496.8568 hours
- dev-clean: 2694 samples, 5.3076 hours
- dev-other: 2857 samples, 5.0578 hours
- test-clean: 2611 samples, 5.3232 hours
- test-other: 2932 samples, 5.2775 hours
Load with Hugging Face Datasets
from datasets import load_dataset
ds = load_dataset("audiofolder", data_dir=".")
print(ds)
print(ds["train-clean-100"][0]["audio"])
After uploading this folder to a dataset repository, replace data_dir="." with
the dataset repo id if automatic builder detection works for your repository:
from datasets import load_dataset
ds = load_dataset("YOUR_NAMESPACE/Amicus_LibriSpeech")
Use with Amicus
Download the whole dataset repository, including Git LFS files, then launch
Amicus training from the downloaded dataset root so relative audio_path values
resolve correctly.
huggingface-cli download YOUR_NAMESPACE/Amicus_LibriSpeech \
--repo-type dataset \
--local-dir data/Amicus_LibriSpeech
cd data/Amicus_LibriSpeech
python /path/to/Amicus/training/stage1/1_semantic_alignment.py \
--train_data train-clean-100.jsonl
Source
This dataset is based on LibriSpeech, available from OpenSLR: https://www.openslr.org/12
Citation
If you use this dataset, please cite the original LibriSpeech paper:
@inproceedings{panayotov2015librispeech,
title={Librispeech: an ASR corpus based on public domain audio books},
author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
pages={5206--5210},
year={2015},
organization={IEEE}
}
- Downloads last month
- 535