---
license: other
task_categories:
- audio-classification
- automatic-speech-recognition
- text-generation
language:
- en
- hi
- bn
- ta
- te
- ml
- mr
- or
- as
- pa
tags:
- education,
- rlhf
- human-feedback
- multilingual
- mentor-interaction
- indic
- indic-languages
- upsc
- government-exams
- long-form-audio
pretty_name: Human Feedback Mentor Sessions India
size_categories:
- 1K<n<10K
---
---
license: other
task_categories:
- audio-classification
- automatic-speech-recognition
- text-generation
language:
- en
- hi
- bn
- ta
- te
- ml
- mr
- or
- as
- pa
pretty_name: Human Feedback Mentor Sessions India
size_categories:
- 1K<n<10K
# Human Feedback Mentor Sessions India

## Dataset Description

A rare and high-value collection of recorded aspirant-mentor interactions 
capturing real guidance, feedback, and reasoning corrections in the context 
of Indian government exam preparation. Produced by Prepp, India's largest 
government exam preparation platform, operated by Collegedunia Web Private 
Limited.

This dataset captures something almost entirely absent from public AI 
training data: real human expert feedback on student reasoning — not 
synthetic, not scripted, not annotated after the fact. These are live 
mentoring conversations where experts identify misconceptions, correct 
reasoning errors, and guide aspirants toward better thinking in real time.

## Dataset Summary

- **Total duration:** 4,500 hours of recorded mentor-aspirant sessions
- **Content type:** Real aspirant-mentor interactions — guidance, feedback, 
  and reasoning corrections
- **Languages:** English, Hindi, Marathi, Tamil
- **Format:** Audio recordings of structured mentoring conversations
- **Domain:** UPSC Civil Services, State PSC, SSC, and government 
  competitive exam preparation
- **Interaction type:** One-on-one and small group mentoring sessions 
  capturing natural pedagogical dialogue

## Sample Data

Three sample sessions are available in this repository:
- Sample 1: English medium — UPSC General Studies reasoning correction
- Sample 2: Marathi medium — State PSC conceptual guidance session
- Sample 3: Tamil medium — Aspirant feedback and answer improvement session

## Key Features

- **Genuine RLHF signal:** This dataset captures the exact interaction 
  type that powers Reinforcement Learning from Human Feedback — an expert 
  correcting a learner's reasoning in real time. Unlike synthetic RLHF 
  datasets, these are authentic expert-novice interactions with natural 
  language feedback on reasoning quality.
- **Reasoning correction data:** Mentors explicitly identify where student 
  thinking goes wrong and model correct reasoning — a high-value signal 
  for training models to reason better and self-correct.
- **Rare multilingual RLHF:** Human feedback data in Marathi and Tamil 
  is extraordinarily scarce globally. This dataset contains thousands of 
  hours of expert feedback in genuinely low-resource languages.
- **Domain expertise:** Mentors are qualified UPSC and government exam 
  subject matter experts — the feedback reflects deep domain knowledge, 
  not generic tutoring.
- **Natural conversational structure:** Unlike scripted educational content, 
  these sessions capture natural back-and-forth dialogue — valuable for 
  conversational AI and dialogue model training.
- **Long-form interactions:** Sessions range from 30 minutes to several 
  hours — providing extended context for long-form audio understanding 
  models.

## Why This Dataset Is Exceptionally Rare

Most RLHF training data is either synthetic, crowdsourced from platforms 
like MTurk, or generated by annotators who are not domain experts. This 
dataset offers something fundamentally different: thousands of hours of 
real expert-novice dialogue where a genuine subject matter expert provides 
structured feedback on a student's reasoning, argument construction, and 
conceptual understanding — in four languages including two that are 
extremely low-resource for AI training.

The combination of authentic human feedback, domain expertise, multilingual 
coverage, and volume makes this one of the most distinctive educational AI 
training assets available from India.

## Intended Uses

- Reinforcement Learning from Human Feedback (RLHF) model training
- Reasoning correction and self-improvement model development
- Multilingual dialogue and conversational AI training
- Indic language ASR model training — especially Marathi and Tamil
- Educational AI and intelligent tutoring system development
- Expert feedback generation model fine-tuning
- Long-form audio understanding in low-resource Indian languages

## Privacy and Ethics

All recordings are collected with explicit consent from participating 
aspirants and mentors. All personally identifiable information has been 
removed or anonymised prior to any licensing. Data handling complies 
with applicable Indian data protection frameworks.

## Data Collection and Rights

All content is proprietary to Collegedunia Web Private Limited, collected 
through the Prepp platform under explicit consent agreements with 
participating aspirants and mentors. Full dataset licensing is available 
for commercial AI training purposes under negotiated terms.

## Licensing and Commercial Access

This repository contains sample data only. The full dataset of 4,500 
hours of mentor-aspirant interaction recordings is available for 
commercial AI training licensing.

**For licensing inquiries contact:**
Ankit Dubey — Head of AI Data Partnerships, Collegedunia
ankit.dubey@collegedunia.com

## Dataset Curator

[Collegedunia Web Private Limited](https://collegedunia.com) | 
[Prepp](https://prepp.in)

Gurugram, Haryana, India