Dialectra/dialectra-hausa-speech-corpus-v1

Dataset Card for Dataset Name

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset Details

Dataset Description

• Curated by: Dialectra
• Funded by [optional]: Dialectra
• Shared by [optional]: Dialectra
• Language(s) (NLP): Hausa (hau)
• License: CC BY 4.0

Dataset Sources [optional]

• Repository: [More Information Needed]
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

Direct Use

[ This dataset is intended for training and evaluating speech AI models on Hausa language tasks, including:

• Automatic Speech Recognition (ASR)
• Text-to-Speech (TTS) synthesis
• Conversational AI and voice agent development
• Dialect-aware model benchmarking
• Linguistic research and language preservation]

Out-of-Scope Use

[This dataset should not be used to:

• Identify, profile, or surveil individual speakers
• Train models intended for use in harmful or discriminatory applications
• Represent all Hausa dialects or regions as a complete census — this is a focused pilot dataset]

Dataset Structure

[ Each entry consists of three linked files:

• Audio (.wav) — A single utterance or conversational exchange recorded by a native Hausa speaker
• Transcript (.txt) — The corresponding text transcription of the audio
• Metadata (.json) — Structured annotations per recording:

{
  "audio_id": "hau_001",
  "language": "Hausa",
  "dialect_group": "Kano",
  "region": "Kano State, Nigeria",
  "speaker_id": "spk_0021",
  "speaker_profile": {
    "age_group": "25-34",
    "gender": "male"
  },
  "speaking_style": "conversational",
  "validation_status": "verified",
  "quality_score": 4.5
}
```]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[Hausa is spoken by over 70 million people across West and Central Africa, yet remains significantly underrepresented in speech AI training data. Existing datasets rarely capture dialect variation or informal daily speech — the very contexts where voice AI is most likely to be deployed. This dataset was created to address that gap by providing structured, metadata-rich recordings of natural Hausa communication.]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[Audio was recorded from native Hausa speakers in natural or semi-structured settings, capturing everyday conversational speech. Recordings were collected using standardized equipment and processed to remove excessive background noise. Transcripts were produced by human transcribers and cross-validated by a second native speaker reviewer. Metadata was annotated following Dialectra's dialect intelligence schema.]

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

[More Information Needed]

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

[More Information Needed]

**APA:**

[More Information Needed]

## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

[More Information Needed]

## More Information [optional]

[More Information Needed]

## Dataset Card Authors [optional]

[More Information Needed]

## Dataset Card Contact

[More Information Needed]