metadata
language:
- en
size_categories:
- 1M<n<10M
task_categories:
- text-generation
pretty_name: SlimPajama-6B
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
- name: meta
struct:
- name: redpajama_set_name
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 23918118724
num_examples: 5489000
download_size: 14002333468
dataset_size: 23918118724
Sampled version of cerebras/SlimPajama-627B.
Since the original data was shuffled before chunking, I only downloaded train/chunk1 (of 10 total) and further sampled 10%. This should result in roughly 6B tokens, hence SlimPajama-6B.
The dataset is 24GBs in storage size when decompressed (original dataset is over 2TBs) and has 5489000 rows.
Data source proportions for SlimPajama-627B and SlimPajama-6B
For sanity purpose, I caluclated the byte proportion of the sampled version.
| Data source | SlimPajama-627B | SlimPajama-6B |
|---|---|---|
| Commoncrawl | 52.2% | 54.1% |
| C4 | 26.7% | 28.7% |
| GitHub | 5.2% | 4.2% |
| Books | 4.2% | 3.7% |
| ArXiv | 4.6% | 3.4% |
| Wikpedia | 3.8% | 3.1% |
| StackExchange | 3.3% | 2.8% |
Please refer to the original dataset for other info.
@misc{cerebras2023slimpajama,
author = {Soboleva, Daria and Al-Khateeb, Faisal and Myers, Robert and Steeves, Jacob R and Hestness, Joel and Dey, Nolan},
title = {{SlimPajama: A 627B token cleaned and deduplicated version of RedPajama}},
month = June,
year = 2023,
howpublished = {\url{https://www.cerebras.net/blog/slimpajama-a-627b-token-cleaned-and-deduplicated-version-of-redpajama}},
url = {https://huggingface.co/datasets/cerebras/SlimPajama-627B},
}