Add dataset card for Human Feedback Mentor Sessions India

Human feedback mentor sessions — 4,500 hours of real expert-aspirant
interactions in English, Hindi, Marathi, Tamil. Rare multilingual RLHF
signal. Sample release for research and licensing discovery.

README.md

@@ -0,0 +1,164 @@
+---
+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