|
|
--- |
|
|
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. |
