README.md

---
license: apache-2.0
dataset_info:
  features:
  - name: text
    dtype: string
  - name: words
    list:
    - name: end
      dtype: int64
    - name: start
      dtype: int64
    - name: text
      dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  splits:
  - name: train
    num_bytes: 354796679.02
    num_examples: 2620
  download_size: 351020954
  dataset_size: 354796679.02
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- automatic-speech-recognition
language:
- en
tags:
- asr
- librispeech
- timestamp
- librispeech_asr
- automatic_speech_recognition
size_categories:
- 1K<n<10K
---
# Word-level timestamp annotated Librispeech ASR test set

This dataset contains word-level timestamp information for the Librispeech ASR test (clean) dataset.

It contains 2620 short files that have been force-aligned with its text to get reasonably accurate word-level timestamp information.

Suitable for use in timestamp benchmarking of ASR models or audio dataset preprocessing.

To request access to more datasets like this, please fill out this form: https://forms.gle/n6cwAfYD9sUTZURY9.

## Usage

```
from datasets import load_dataset

dataset = load_dataset("olympusmons/librispeech_asr_test_clean_word_timestamp")
print(dataset)
```