| license: cc-by-4.0 | |
| language: | |
| - en | |
| size_categories: | |
| - 1K<n<10K | |
| The full corpus is curated across multiple STEM/Non-STEM disciplines and structured for use in LLM training, evaluation, and instruction tuning (SFT/RLHF). This sample represents the structure and quality of the larger dataset. | |
| Dataset composition (full corpus): | |
| -Text corpus: 1.9B+ words of curated STEM and Non-STEM educational content across 27000+ texbooks in 7 languages(English, Hindi, Arabic, Bahasa, Tamil, Telegu, Kannada) | |
| -Question–Answer pairs: 6.5M+ high-quality Q&A pairs of STEM and Non-STEM in (English, Arabic, Hindi and Indic languages) | |
| -Video data: 100K+ hours of STEM Videos and 30K+ hours of UGC. | |
| -Audio data: 1M+ hours of Podcasts and Call Center data(Dual Channel) | |
| -Medical datasets: 34M+ files including clinical and diagnostic data like CT Scan, MRI, X-ray, Pathology, EHRs, USG Reports and Echo Reports. | |
| -Custom procurement: Dedicated team supporting any domain or language | |
| This repository includes: | |
| -A small preview subset of the User Generated Content in multiple language. | |
| -Flat, viewer-friendly schema for inspection | |
| -Parquet files suitable for benchmarking and evaluation | |
| Purpose of this dataset: | |
| -Dataset preview and validation | |
| -Model evaluation and experimentation | |
| -Schema and format inspection before full-scale access | |
| ⚠️ Note: This repository contains sample data only. Access to the complete dataset is available separately under appropriate licensing or partnership terms. | |
| Please contact | |
| -Ph: (91)8303174762 | |
| -Em: vipul.mishra@infobay.ai | |
| For more details. |