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Student Visa Interview Transcripts
Education & Learning Analytics
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About
This dataset contains real-world F1-Visa interview experiences scraped from a Telegram channel, specifically focusing on prospective students from India applying for non-immigrant visas to study in the United States. The F1 visa is a crucial step for many students, often considered the most challenging part of their journey. The data captures the subjective nature of these interviews, where a Visa officer assesses a student's suitability. It aims to shed light on common patterns, such as reasons for visa denials, including issues like established family ties in the US, lack of funds, or questionable academic backgrounds. The data is updated daily, providing a continuous stream of new experiences for analysis.
Columns
- msg_id: A unique identifier for each message (interview experience).
- date: The date the message was published on the Telegram channel. Please note this is not necessarily the actual interview date.
- message: The detailed visa interview experience, typically presented in a chat format between the Visa interviewer and the student.
Distribution
The dataset is structured as tabular data, with each row representing an interview experience. While a specific file format is not stated for the dataset itself, data files are typically provided in CSV format. The dataset comprises 6,318 unique interview experiences (records).
Usage
This dataset is ideal for various applications and use cases, including:
- Natural Language Processing (NLP) research: Analysing interview dialogues for sentiment, key themes, or common phrases.
- Identifying denial patterns: Determining common reasons for F1 visa rejections and specific questions that lead to such outcomes.
- Geographic analysis: Investigating if visa denials are more likely to occur in specific cities within India (e.g., Delhi, Mumbai, Kolkata, Hyderabad, Chennai).
- Educational insights: Providing prospective students with insights into the visa interview process and helping them prepare effectively.
- Policy analysis: Informing discussions around visa application processes and outcomes.
Coverage
The dataset's geographic scope is primarily India, as the visa experiences predominantly originate from Indian students. The time range for the collected experiences spans from 27th October 2020 to 27th March 2022. The demographic scope focuses on students from India applying for the F1 visa to the United States. It is noted that efforts are underway to include more data sources beyond the current Telegram channel, potentially broadening the geographic or demographic coverage in the future.
License
CC0
Who Can Use It
This dataset is suitable for a wide range of users, including:
- Prospective students: To gain an understanding of potential interview questions and common pitfalls.
- Researchers and data scientists: For conducting quantitative and qualitative analyses, including NLP, to identify trends and correlations.
- Educational counsellors and institutions: To better advise and prepare students for their F1 visa interviews.
- AI/LLM developers: For training models to understand and generate content related to visa application processes.
- Journalists and policy analysts: For reporting on immigration trends and assessing visa policies.
Dataset Name Suggestions
- F1 Visa Interview Experiences from India
- US Student Visa Interview Logs (India)
- Telegram F1 Visa Narratives
- Indian F1 Visa Application Insights
- Student Visa Interview Transcripts
Attributes
Original Data Source: F1 Visa Experiences
QUALITY