metadata
task_categories:
- text-generation
language:
- en
- de
- fr
- es
- it
pretty_name: Red Pajama V2 Data Foundation
Getting Started
from datasets import load_dataset
ds = load_dataset("togethercomputer/RedPajama-Data-V2", name="en-head-middle-all")
Or you can directly download the files using the following command:
wget 'https://data.together.xyz/redpajama-data-v2/v1.0.0/urls.txt'
while read line; do
dload_loc=${line#https://data.together.xyz/redpajama-data-v2/v1.0.0/}
mkdir -p $(dirname $dload_loc)
wget "$line" -O "$dload_loc"
done < urls.txt
After downloading the files, you can load the dataset from disk by setting the RED_PAJAMA_DATA_DIR environment
variable XXXX TODO XXX
A smaller sample of the dataset can be downloaded via
from datasets import load_dataset
ds = load_dataset("togethercomputer/RedPajama-Data-V2", name="en-sample")
A full set of scripts to recreate the dataset from can be found here.
Dataset Summary
TODO: Write a sentence about the dataset
Languages
English, German, French, Italian, Spanish
Dataset Structure
The dataset structure is as follows:
{
TODO
}
Dataset Creation
XXXX
Commoncrawl
TODO
To cite RedPajama, please use:
@software{together2023redpajama,
author = {Together Computer},
title = {RedPajama-Data-v2: a living data foundation for training open LLM models},
month = October,
year = 2023,
url = {https://github.com/togethercomputer/RedPajama-Data}
}
License
TODO: double check this
Please refer to the licenses of the data subsets you use.