README.md

metadata

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]