size_categories:10K<n<100K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: input
    dtype: string
  - name: output
    dtype: string
  splits:
  - name: train
    num_bytes: 21151768
    num_examples: 22825
  download_size: 7937515
  dataset_size: 21151768
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

### Dataset description
This dataset contains both English and Vietnamese samples.

Each sample has 3 solutions including a coding solution, an explanation solution and a direct solution. They are distinguished by the tokens \<sol\>, \<exp\> and \<dir\>, respectively.

For coding solution, execute the Python code wrapped inside ``` for the output result. DON'T TRUST the choice generated by model after coding, just execute the code and map it to the choice.

With this dataset & QLoRA on Tora-Code-13b, you can archieve 73% accuracy in the public test of Vietnamese Elemetary Maths - Zalo AI Challenge 2023.