Datasets:
Nepali Call Center Audio Dataset — Dual Channel
Source and Attribution
This repository contains data obtained from the original dataset published by InfoBay AI Ltd.
Original Dataset
Name:
Nepali_Call_Center_Audio_Dataset_Dual_Channel
Original repository:
https://huggingface.co/datasets/InfoBayAI/Nepali_Call_Center_Audio_Dataset_Dual_Channel
Original creator:
InfoBay AI Ltd.
The original dataset is listed as CC BY 4.0 on its Hugging Face repository.
This repository does not claim ownership of the original audio recordings.
Users should consult the original repository for the authoritative license and dataset terms.
Dataset Summary
This dataset contains Nepali call-center audio originating from the InfoBay AI dataset.
The source dataset is described as a dual-channel call-center speech dataset in which customer and agent audio are represented separately.
The dataset can potentially support research and development in:
- Nepali Automatic Speech Recognition (ASR)
- conversational speech recognition
- call-center speech processing
- speaker-role analysis
- customer-agent interaction modelling
- speech segmentation
- speech analytics
- conversational AI
Language
The primary language is:
- Nepali (
ne)
Domain
The audio represents:
- Call-center conversations
- Customer-agent interactions
- Telephone speech
Audio
According to the original dataset documentation, the source dataset uses an 8 kHz sampling rate and contains dual-channel call-center audio.
The original source documentation should be consulted for the authoritative description of the audio files and processing pipeline.
Dual-Channel Structure
The original dataset is designed around two conversational roles:
- Customer
- Agent
The separation of channels can be useful for research involving:
- speaker-role modelling
- conversational turn analysis
- diarization
- role-aware ASR
- customer-support analytics
Original Processing
The original dataset provider describes processing that includes operations such as:
- duplicate asset removal
- low-activity voice removal
- PII detection and muting
- background-noise removal
These processing descriptions originate from the original dataset provider and have not necessarily been independently revalidated by this repository.
Intended Uses
Potential uses include:
Automatic Speech Recognition
The dataset may be useful for developing and evaluating Nepali ASR systems, particularly for telephone and call-center speech.
Conversational AI
The dual-channel structure may support research involving customer-agent conversations.
Speech Analytics
Potential applications include:
- transcription
- speech segmentation
- speaker-role classification
- conversational analysis
- customer-support analytics
Privacy Considerations
The original dataset documentation describes PII detection and muting as part of its processing pipeline.
However, automated PII detection should not be considered a guarantee that all potentially identifying information has been removed.
Researchers should conduct their own privacy assessment before using the data, particularly when:
- publishing transcripts
- releasing derived datasets
- performing speaker identification
- combining this data with other datasets
- training models that may memorize sensitive information
Ethical Considerations
Users should consider the ethical implications of working with real-world conversational speech.
Particular care should be taken when conducting:
- speaker identification
- speaker profiling
- sensitive attribute inference
- surveillance
- individual-level decision making
Researchers should follow applicable institutional ethics requirements and relevant laws.
License
The original Hugging Face repository lists the dataset under:
CC BY 4.0
Original dataset provider:
InfoBay AI Ltd.
Original dataset:
InfoBayAI/Nepali_Call_Center_Audio_Dataset_Dual_Channel
Users are responsible for complying with the original license and applicable dataset access conditions.
Citation
If you use this dataset, please acknowledge the original dataset provider:
InfoBay AI Ltd. Nepali Call Center Audio Dataset — Dual Channel. Hugging Face Datasets.
Original repository:
https://huggingface.co/datasets/InfoBayAI/Nepali_Call_Center_Audio_Dataset_Dual_Channel
If this repository is modified or further processed, users should also cite or acknowledge the resulting repository and describe the modifications.
Provenance
| Field | Value |
|---|---|
| Original provider | InfoBay AI Ltd. |
| Original dataset | Nepali Call Center Audio Dataset — Dual Channel |
| Original repository | InfoBayAI/Nepali_Call_Center_Audio_Dataset_Dual_Channel |
| Language | Nepali |
| Domain | Call-center speech |
| Audio type | Dual-channel conversational audio |
| Original sampling rate | 8 kHz |
| Original license | CC BY 4.0 |
| Repository status | Source redistribution / derivative repository |
Modifications
At the time of creation, this repository primarily preserves the source dataset and adds repository-level documentation and attribution.
Any future preprocessing, transcription, segmentation, resampling, filtering, annotation, or other modification should be documented here.
Disclaimer
This repository is not the original dataset repository.
The original dataset provider is responsible for the provenance and original processing claims associated with the source dataset.
The maintainer of this repository does not claim ownership of the original recordings.
Users are responsible for ensuring that their use of the dataset complies with the applicable license, access conditions, laws, and research ethics requirements.
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