README.md

---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: question
    dtype: string
  - name: image
    dtype: string
  - name: decoded_image
    dtype: image
  - name: ground_truth
    dtype: string
  - name: answer_type
    dtype: string
  - name: subject
    dtype: string
  - name: knowledge_level
    dtype: string
  splits:
  - name: train
    num_bytes: 37409713.77245509
    num_examples: 1000
  download_size: 43769777
  dataset_size: 37409713.77245509
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---


(Unofficial) Mini version of Dynamath (https://huggingface.co/datasets/DynaMath/DynaMath_Sample) dataset. 

Here, we have sampled 100 random ids from all 10 variants of the original Dynamath dataset. 

This allows faster inference on 1000 eval examples instead of 5010 examples; which can be very slow and limiting for large model runs.