language:
- es
dataset_info:
features:
- name: text
dtype: string
- name: score
dtype: float64
- name: int_score
dtype: int64
splits:
- name: train
num_bytes: 1322871803543
num_examples: 157608923
download_size: 781860036534
dataset_size: 1322871803543
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Red Pajama's High Quality Spanish subset
What is this?
The following is a high-quality dataset distilled from the Spanish subsection of RedPajama-Data-v2, created using the methodology proposed for FineWEB-Edu.
Dataset creation
In a nutshell, we use Llama-3.1-70B to grade the educational quality of various samples from the original dataset. Then, we used these 500K samples to train a classifier using an encoder-based model, so that it learns to assign a score from 0 to 5. Since this model is way cheaper to use than an LLM, we run it over the entire dataset, thus getting a high-quality section from it.
Here is an overview of the architecture:
For more detailed information on how this dataset was created, refer to our implementation.
License
Please refer to the Common Crawl Foundation Terms of Use for the data. The code used to load and process the dataset is licensed under the Apache 2.0 license.