metadata
dataset_info:
config_name: sharding-1
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 39
num_examples: 5
download_size: 769
dataset_size: 39
configs:
- config_name: sharding-1
data_files:
- split: train
path: sharding-1/train-*
Datasets used for datatrove testing. Each split contains the same data:
dst = [
{"text": "hello"},
{"text": "world"},
{"text": "how"},
{"text": "are"},
{"text": "you"},
]
But based on the split name the data are sharded into n-bins