metadata
dataset_info:
config_name: plain_text
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 49670857
num_examples: 10000
download_size: 30247490
dataset_size: 49670857
configs:
- config_name: plain_text
data_files:
- split: train
path: plain_text/train-*
default: true
10K slice of OpenWebText - An open-source replication of the WebText dataset from OpenAI.
This is a small subset representing the first 10K records from the original dataset - created for testing.
The full 8M-record dataset is here.
$ python -c "from datasets import load_dataset; ds=load_dataset('stas/openwebtext-10k'); print(ds)"
DatasetDict({
train: Dataset({
features: ['text'],
num_rows: 10000
})
})
- Records: 10,000
- compressed size: ~15MB
- uncompressed size: 50MB
To convert to jsonlines:
from datasets import load_dataset
dataset_name = "stas/openwebtext-10k"
name = dataset_name.split('/')[-1]
ds = load_dataset(dataset_name, split='train')
ds.to_json(f"{name}.jsonl", orient="records", lines=True)
To see how this subset was created, here is the instructions file.