Transportation and Traveling Data Labeling
OtherTextEntity Ner ClassificationQuestion Answering
Objective:
To build a demo dataset for training AI models to understand travel-related queries in booking flights, hotels, and transport.
Tasks:
Performed text annotation including intent classification (e.g., BookFlight, BookHotel), entity labeling (locations, dates, airlines, landmarks), and role assignment (departure city, arrival city, check-in date, etc.).
Scale:
Small-scale project with 30+ annotated examples designed as a proof-of-concept dataset.
Quality Measures:
Ensured annotation consistency through double-checking, applied standardized entity labels, and maintained high accuracy in role assignment.
Objective: To build a demo dataset for training AI models to understand travel-related queries in booking flights, hotels, and transport. Tasks: Performed text annotation including intent classification (e.g., BookFlight, BookHotel), entity labeling (locations, dates, airlines, landmarks), and role assignment (departure city, arrival city, check-in date, etc.). Scale: Small-scale project with 30+ annotated examples designed as a proof-of-concept dataset. Quality Measures: Ensured annotation consistency through double-checking, applied standardized entity labels, and maintained high accuracy in role assignment.
2025