---
dataset_info:
  features:
  - name: file_id
    dtype: string
  - name: audio
    dtype: audio
  - name: text_scribe
    dtype: string
  - name: events_scribe
    dtype: string
  - name: CE
    dtype: float64
  - name: CU
    dtype: float64
  - name: PC
    dtype: float64
  - name: PQ
    dtype: float64
  - name: text_emilia
    dtype: string
  - name: duration
    dtype: float64
  - name: speaker
    dtype: string
  - name: language
    dtype: string
  - name: dnsmos
    dtype: float64
  - name: phone_count
    dtype: int64
  splits:
  - name: train
    num_bytes: 107194063653.67
    num_examples: 228265
  download_size: 104387921006
  dataset_size: 107194063653.67
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
language:
- en
size_categories:
- 100K<n<1M
---



the dataset is 616h out of the English part from https://huggingface.co/datasets/amphion/Emilia-Dataset ( Emilia Yodas - cc by 4.0)

audio event classified via scribe v1 (elevenlabs stt/asr)

facebook audio aestetics to be used as prefilter
the dataset is very much at a v1 -

if you want to help - lets talk

https://discord.gg/RUs3uzBdW3 (nsfw is fully opt in only - as sfw)

if you want full transaction timestamps as they come from scribe v1 - they are cc by 4.0 NC and can be found here https://huggingface.co/datasets/MrDragonFox/EN_Emilia_Yodas_616h_raw_timestamps