README.md

---
tags:
- audio
- khmer
- english
- speech-to-text
- translation
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: kh
    dtype: string
  - name: en
    dtype: string
  splits:
  - name: train
    num_bytes: 2387180819.0
    num_examples: 18000
  - name: test
    num_bytes: 239838689.75
    num_examples: 1850
  download_size: 2381427254
  dataset_size: 2627019508.75
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

# Dataset Card for khmer-speech-large-english-google-translation

Audio recordings of khmer speech with varying speakers and background noises. 
English transcriptions were transcribed from the Khmer labels using Google Translate. 
Based off of [seanghay/khmer-speech-large](https://huggingface.co/datasets/seanghay/khmer-speech-large).


## Dataset Details

### Dataset Description

- **Language(s) (NLP):** Khmer, English
- **License:** [More Information Needed]

### Dataset Sources

- **Huggingface:** [seanghay/khmer-speech-large](https://huggingface.co/datasets/seanghay/khmer-speech-large)

## Usage

```python
from datasets import load_dataset

ds = load_dataset("djsamseng/khmer-speech-large-english-google-translations")
ds["train"] # First 18,000 records
ds["test"] # Remaining 1,900 records

ds["train"][0]["audio"] # { "array": [0.01, 0.02, ...], "sampling_rate": 16000 } }
ds["train"][0]["kh"] # "រស់ នៅក្នុង សង្គម ទទួលស្គាល់ និង ផ្តល់ តម្លៃ ព្រមទាំង មាន ឥរិយាបថ គាប់ ភ្នែក អ្នកផង"
ds["train"][0]["en"] # "Live in a society that recognizes and values ​​as well as behaves in a way that pleases you"

```

## Data Cleaning
- If desired, remove `\u200b` characters from both "en" and "kh"
- If desired, replace `'` with `'` from "en"