metadata
license: cc-by-4.0
dataset_info:
- config_name: PA-01
features:
- name: patient_id
dtype: string
- name: image
dtype: image
- name: slice_index
dtype: int64
- name: findings
dtype: string
- name: modality
dtype: string
splits:
- name: train
num_bytes: 46131453
num_examples: 527
download_size: 46109357
dataset_size: 46131453
- config_name: PA-02
features:
- name: patient_id
dtype: string
- name: image
dtype: image
- name: slice_index
dtype: int64
- name: findings
dtype: string
- name: modality
dtype: string
splits:
- name: train
num_bytes: 22736110
num_examples: 152
download_size: 22712128
dataset_size: 22736110
- config_name: PA-03
features:
- name: patient_id
dtype: string
- name: image
dtype: image
- name: slice_index
dtype: int64
- name: findings
dtype: string
- name: modality
dtype: string
splits:
- name: train
num_bytes: 41952817
num_examples: 280
download_size: 41850084
dataset_size: 41952817
- config_name: PA-04
features:
- name: patient_id
dtype: string
- name: image
dtype: image
- name: slice_index
dtype: int64
- name: findings
dtype: string
- name: modality
dtype: string
splits:
- name: train
num_bytes: 54673044
num_examples: 910
download_size: 54471985
dataset_size: 54673044
configs:
- config_name: PA-01
data_files:
- split: train
path: PA-01/train-*
- config_name: PA-02
data_files:
- split: train
path: PA-02/train-*
- config_name: PA-03
data_files:
- split: train
path: PA-03/train-*
- config_name: PA-04
data_files:
- split: train
path: PA-04/train-*
tags:
- medical
- MRI
- With_Findings
- Head
- brain
- Spine
- Joint
size_categories:
- 10K<n<100K
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: 1.6B+ words of curated STEM and Non-STEM educational content across 22000+ 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: 821K+ hours of Podcasts and Call Center data(Dual Channel)
-Medical datasets: 78M+ files including clinical and diagnostic data like CT Scan, MRI, X-ray, Pathology, EHRs, USG Reports and Echo Reports.
This repository includes:
-A small preview subset of the Medical MRI data with 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.