metadata
configs:
- config_name: train
default: true
data_files:
- split: train
path: train.jsonl
- config_name: math_eval
data_files:
- split: test
path: math_eval.jsonl
- config_name: gsm8k_eval
data_files:
- split: test
path: gsm8k_eval.jsonl
Your dataset name
Combined GSM8K + MATH training data, with separate eval configs.
from datasets import load_dataset
# From Hub
train = load_dataset("Ritvik19/gsm8k-math", "train", split="train")
math_eval = load_dataset("Ritvik19/gsm8k-math", "math_eval", split="test")
gsm8k_eval = load_dataset("Ritvik19/gsm8k-math", "gsm8k_eval", split="test")