Datasets:
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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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task_categories:
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- automatic-speech-recognition
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language:
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- en
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tags:
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- asr
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- librispeech
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- timestamp
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- librispeech_asr
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- automatic_speech_recognition
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size_categories:
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- 1K<n<10K
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---
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# Word-level timestamp annotated Librispeech ASR test set
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This dataset contains word-level timestamp information for the Librispeech ASR test (clean) dataset.
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It contains 2620 short files that have been force-aligned with its text to get reasonably accurate word-level timestamp information.
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Suitable for use in timestamp benchmarking of ASR models or audio dataset preprocessing.
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## Usage
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```
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from datasets import load_dataset
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dataset = load_dataset("olympusmons/librispeech_asr_test_clean_word_timestamp")
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print(dataset)
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```
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