README.md

---
license: cc-by-4.0
configs:
- config_name: PA-01_Cervical_Spine
  data_files:
  - split: train
    path: PA-01_Cervical_Spine/train-*
- config_name: PA-02_Whole_Spine
  data_files:
  - split: train
    path: PA-02_Whole_Spine/train-*
- config_name: PA-03_Brain
  data_files:
  - split: train
    path: PA-03_Brain/train-*
- config_name: PA-04_Pelvic
  data_files:
  - split: train
    path: PA-04_Pelvic/train-*
- config_name: PA-05_Right Shoulder_joint
  data_files:
  - split: train
    path: PA-05_Right Shoulder_joint/train-*
dataset_info:
- config_name: PA-01_Cervical_Spine
  features:
  - name: patient_id
    dtype: string
  - name: image
    dtype: image
  - name: slice_index
    dtype: int64
  - name: modality
    dtype: string
  splits:
  - name: train
    num_bytes: 3547733
    num_examples: 48
  download_size: 3549459
  dataset_size: 3547733
- config_name: PA-02_Whole_Spine
  features:
  - name: patient_id
    dtype: string
  - name: image
    dtype: image
  - name: slice_index
    dtype: int64
  - name: modality
    dtype: string
  splits:
  - name: train
    num_bytes: 11712708
    num_examples: 96
  download_size: 11714311
  dataset_size: 11712708
- config_name: PA-03_Brain
  features:
  - name: patient_id
    dtype: string
  - name: image
    dtype: image
  - name: slice_index
    dtype: int64
  - name: modality
    dtype: string
  splits:
  - name: train
    num_bytes: 7835307
    num_examples: 148
  download_size: 7835138
  dataset_size: 7835307
- config_name: PA-04_Pelvic
  features:
  - name: patient_id
    dtype: string
  - name: image
    dtype: image
  - name: slice_index
    dtype: int64
  - name: modality
    dtype: string
  splits:
  - name: train
    num_bytes: 14135319
    num_examples: 165
  download_size: 14133433
  dataset_size: 14135319
- config_name: PA-05_Right Shoulder_joint
  features:
  - name: patient_id
    dtype: string
  - name: image
    dtype: image
  - name: slice_index
    dtype: int64
  - name: modality
    dtype: string
  splits:
  - name: train
    num_bytes: 6050396
    num_examples: 131
  download_size: 6050211
  dataset_size: 6050396
size_categories:
- 100K<n<1M
---
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 Medical MRI data without findings.
    -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.