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3,000 Hours Indian English Interview Video for AI Training
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£18,000
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3,000 Hours (Growing Daily) of Fully-Consented Real Online Job Interview Video in Indian English | AI Training Data | Video+Audio + Timestamp-Aligned Transcripts | Question/Context Descriptions | Global Coverage
For full data, please contact hello@princep.io or visit website.
A large-scale dataset of 3,000 hours (growing daily) of real online job interview video in Indian English, featuring natural, non-scripted interview responses.
All participants explicitly opt in (fully consented) for their data to be used for AI training and shared under controlled licensing.
This is a living dataset: new recordings are added daily, so total hours increase over time (current total: 10K+ hours as of Jan 2026).
Each clip is primarily single-speaker (candidate-focused), making it highly valuable for training models on authentic, real-world monologue speech in interview conditions.
Unlike staged or scripted recordings, this dataset captures authentic interview behavior — spontaneous phrasing, pauses, disfluencies, turn-taking, and real-world device variability. The video modality adds valuable capture signals that improve model generalization to production environments.
Key Features
1) Accent Diversity at Scale (Underrepresented Accents Included)
Designed for real-world robustness with broad English accent coverage:
- Diverse regional accents and speech patterns
- Variation in pronunciation, rhythm, speech speed, and vocabulary
- Strong coverage of accents often missing from public datasets (Africa, SEA, South Asia, LatAm)
2) Real Interview Video (Non-Scripted, Natural Speech)
All sessions come from genuine interview-style Q&A, capturing:
- Natural disfluencies (hesitations, self-corrections, fillers)
- Realistic interview pacing and tone
- Authentic response structure under real interview conditions
3) AI-Ready Packaging (Video + Transcript + Context)
Each session can include synchronized assets such as:
- Video with embedded audio (online interview capture)
- Timestamp-aligned transcripts (segment/sentence level)
- Question prompts + context descriptors (question type/category)
- Technical and quality metadata (duration, device/channel signals)
Supports tasks including:
- Audiovisual speech recognition
- Lip/audio alignment research
- Speech modeling
- Multimodal conversational understanding
4) Real-World Capture Conditions
Video reflects realistic online interview environments:
- Mobile and desktop capture
- Consumer-grade device cameras and microphones
- Mostly indoor environments with natural lighting/background variation
- VoIP-style audio characteristics and device differences
5) Fully-Consented & Commercial-Ready
- Explicit opt-in consent for AI training and controlled dataset sharing
- Packaged for smooth integration into ML pipelines and enterprise procurement workflows
6) Continuously Expanding Library (Daily Updates)
- New recordings added every day
- Dataset grows over time
- Current total: 10K+ hours (Jan 2026)
- Updated releases available upon request
Use Cases
- Multimodal AI training (video + audio)
- Audiovisual speech recognition and robustness benchmarking
- ASR / speech-to-text with diverse accents
- Multimodal evaluation under real capture conditions
- Accent robustness testing across regions
Delivery Format (Typical)
- Video files (with embedded audio)
- Timestamp-aligned transcripts
- Question/context descriptors + metadata schema
- Documentation (data card, release manifest, usage notes)
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