Off-the-shelf (OTS) Datasets

Dari (Afghanistan) conversational telephony

Dataset ID:
DAR_ASR001
Dataset Name:
Dari (Afghanistan) conversational telephony
Common Use Cases:
ASR, Conversational AI, Speech Analytics
Language:
Dari
Country:
Afghanistan
Language Code:
prs
Country Code:
AFG
Product Type
Audio
Detailed Product Type
Conversational Speech
Unit
40 hours
Recording Device
Mobile phone and landline
Recording Condition
Low background noise
Contributors
500
Utterances
Available on request
Unique Words
11,168
Sample Rate (kHz):
8
Channels
2
Data Format
alaw
Source
Appen Global
Additional Info:
  • Dataset is fully transcribed and timestamped
  • Dataset is accompanied by a pronunciation lexicon containing all transcribed words
  • Dataset is largely speech only and does not include music or advertisements
  • 13% landline, 87% mobile
Year of Collection
2010

Get Started with Off-the-Shelf AI Training Datasets

Appen’s extensive catalog of off-the-shelf (OTS) datasets spans multiple data types and industries, providing comprehensive coverage for various AI applications. These datasets are crafted to the highest standards of quality and accuracy, ensuring reliable training data for AI models.

Talk to an expert