---
dataset_info:
  features:
  - name: language
    dtype: string
  - name: file_name
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: transcript_json
    dtype: string
  - name: type
    dtype: string
  splits:
  - name: train
    num_bytes: 1393845879
    num_examples: 28
  download_size: 1011490115
  dataset_size: 1393845879
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
language:
- es
- pt
tags:
- conversational_speech
- multi-speaker
- ASR
- LATAM-languages
size_categories:
- n<1K
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
---
## Dataset Overview

This dataset contains high-quality conversational audio samples curated for **Automatic Speech Recognition** tasks in Spanish variants and Portugese.

The dataset includes:

* Paired **audio + transcripts**
* Natural, non-scripted conversational speech
* Single Speaker & Dual-speaker interactions

### Audio Specifications

* **Sampling Rate:** 16 kHz – 24 kHz
* **Bit Depth:** 16-bit
* **Audio Type:** Non-scripted conversational speech

---

## Supported Languages

| Language                 | 
| ------------------------ | 
| Spanish- Peru            |                      
| Spanish- Venezuela       | 
| Spanish- Argentina       | 
| Portugese (Brazil)       |

---

## Speaker Representation

* Natural, spontaneous dialogue
* Balanced gender representation

---

# Dataset Creation Methodology

## Data Collection

Speech data was collected from native speakers across diverse regions:

* **Spanish – Peru**: Urban and semi-urban communities with regional dialect coverage.
* **Spanish – Venezuela**: Metro and non-metro regions reflecting standard and colloquial usage.
* **Spanish – Argentina**: Cross-regional accent variation, including voseo and phonetic nuances.
* **Portuguese – Brazil**: Cross-regional accents with a balance of formal and informal speech.

This ensured:

* Accent diversity
* Natural conversational flow
* Real-world dialogue patterns

---

## Recording Setup

* Non-scripted, dual-speaker conversations
* Duration: **10–30 minutes per recording**
* Topics include:

  * Business
  * Finance
  * Politics
  * Everyday life discussions
  * Social topics

---

## Transcription Process

* Manual transcription by native speakers
* Reviewed for linguistic accuracy
* Preserves:
  * Conversational fillers
  * Natural pauses


---

# Dataset Intended Purpose

## Intended Uses

This dataset is designed for:

* Training and fine-tuning **Automatic Speech Recognition** models
* Conversational ASR benchmarking
* Speaker turn detection and interruption modeling
* Informal speech modeling
* Conversational AI research
* Academic and open-source research

---

## Out-of-Scope Uses

This dataset is **not intended for**:

* Safety-critical or real-time production systems without additional validation
* Commercial deployment without proper attribution and compliance with **CC BY 4.0**
* Medical, clinical, legal, or diagnostic applications

---

# License

This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.

---

# 📬 Contact

For dataset-related queries, please contact:
**[[support@humynlabs.ai](mailto:support@humynlabs.ai)]**