README.md

metadata

license: cc-by-sa-4.0
language:
  - it
  - pt
  - es
  - fr
  - de
  - vi
  - id
  - ru
  - en
  - zh
task_categories:
  - text-to-speech
  - automatic-speech-recognition
size_categories:
  - n>1T
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: txt
      dtype: string
    - name: align
      dtype: string

Overview

This dataset is part of LEMAS (Large-scale Extensible Multilingual Audio Suite). It contains a large-scale training set (150k+ hours) and a curated evaluation set (100 utterances per language) covering 10 languages, all with word-level alignment.

Fields

• key: unique utterance identifier; the first two characters indicate the language ID
• audio: relative path to the MP3 audio file
• dur: audio duration in seconds
• txt: original transcription
• align.txt: normalized text used for alignment
• align.words: list of word-level timestamps and confidence scores

Statistics

trainset

lang	total_dur(h)	utterances	avg_dur(s)	total_chars	avg_chars	char/sec	total_words	avg_words	word/sec
it	6116.69	7209567	3.054	281128388	38.994	12.7669	48859270	6.777	2.2188
fr	6535.94	7557428	3.113	344633332	45.602	14.6469	65843169	8.712	2.7983
vi	6600.07	6426292	3.697	387621747	60.318	16.3139	89903814	13.990	3.7838
pt	7384.42	8682442	3.062	339417251	39.092	12.7678	60316112	6.947	2.2689
de	9842.14	11003833	3.220	487581808	44.310	13.7612	80119609	7.281	2.2612
id	11246.27	11659550	3.472	543857918	46.645	13.4331	85967394	7.373	2.1234
es	21224.55	26407271	2.893	1011116926	38.289	13.2331	183673862	6.955	2.4038
ru	22919.31	27474400	3.003	991530233	36.089	12.0172	163018329	5.933	1.9758
en	25347.90	9515267	9.590	1419864294	149.220	15.5597	268676221	28.236	2.9443
zh	32919.28	17776663	6.667	2474249286	139.185	20.8781	496957308	27.956	4.1934

Words and chars statistics are computed based on the normalized alignment text (align.txt).

Notes

• The eval set is not the final version. We will complete further updates and release a technical report in a future update.