---
license: cc-by-nc-3.0
language:
- en
- fr
- de
- it
- es
- pt
- ja
---
## Description
The INTERSPEECH 2025 MLC-SLM Challenge Dataset, curated by Datatang, is derived from fifteen proprietary conversational speech corpora. Distinguished by exceptional annotation accuracy and operational reliability, this dataset is engineered to address critical challenges in multilingual automatic speech recognition (ASR) and long-context comprehension. It meticulously replicates real-world complexities including spontaneous interruptions and speaker overlaps across 11 languages (1500 hours total duration), thereby providing robust training resources for developing world-ready ASR systems. 

For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1892?source=huggingface

## Specifications
### Format

16kHz, 16bit, uncompressed wav, mono channel;

### Recording Environment

quiet indoor environment, without echo;

### Recording content

dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed;

### Annotation

annotating for the transcription text, speaker identification, gender;

### Device

Android mobile phone, iPhone;

### Language

American English/British English/Filipino English/Australian English/Indian English/French/German/Italian/Japanese/Korean/Portuguese(Europe)/Russian/Spanish(Spain)/Thai/Vietnamese.

## Licensing Information
Commercial License