Nutanix/mbpp_triplet_data

---
dataset_info:
features:
- name: anchor
dtype: string
- name: positive
dtype: string
- name: negative
dtype: string
splits:
- name: train
num_bytes: 143845823
num_examples: 317521
- name: test
num_bytes: 61833745
num_examples: 136081
download_size: 51750220
dataset_size: 205679568
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Description

This dataset has been built from the MBPP dataset for fine tuning dense retrieval models. The dataset was created by using the first 70% points from the MBPP dataset. We created triplets corresponding to all negatives for a positive pair. Hence there are n * (n - 1) triplets for n pairs(since we have n-1 negative examples for every anchor-positive pair). Using a random seed of 10, we split these triplets into train and test subsest with a 70:30 ratio.

## Fields

1. `anchor` - The question corresponding to a code snippet
2. `positive` - The ground truth answer for the corresponding question
3. `negative` - Any other code snippet from the dataset not corresponding to the question