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---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 53397189200.0
num_examples: 2004700
- name: test
num_bytes: 532720000.0
num_examples: 20000
download_size: 16064350610
dataset_size: 53929909200.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
license: other
task_categories:
- text-generation
language:
- pt
tags:
- portuguese
- language-modeling
pretty_name: Pt-Corpus tokenized
size_categories:
- 1M<n<10M
---
# Portuguese-Corpus (tokenized)
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** https://nkluge-correa.github.io/TeenyTinyLlama/
- **Repository:** https://github.com/Nkluge-correa/TeenyTinyLlama
- **Paper:** [TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese](https://www.sciencedirect.com/science/article/pii/S2666827024000343)
- **Point of Contact:** [Nk-correa](mailto:nicholas@airespucrs.org)
### Dataset Summary
This repository has a tokenized version (using the [TeenyTinyLlama tokenizer](https://huggingface.co/nicholasKluge/TeenyTinyLlama-460m)) of the [Portuguese-Corpus dataset](https://huggingface.co/datasets/nicholasKluge/Pt-Corpus). All sequences are 2048 tokens long. This dataset was used in "_[TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese](https://www.sciencedirect.com/science/article/pii/S2666827024000343)_".
For more information, see the [original dataset card](https://huggingface.co/datasets/nicholasKluge/Pt-Corpus).
## Languages
Portuguese.
## Dataset Structure
### Data Instances
The dataset consists of the following features:
- **input_ids:** sequence of tokens.
- **attention_mask:** binary tensor indicating the position of the padded indices.
- **labels:** sequence of tokens.
### Data Fields
```python
{
"input_ids": [ 1026, 1531, 1009, 8067,...],
"attention_mask": [1, 1, 1, 1, ...],
"labels": [ 1026, 1531, 1009, 8067,...]
}
```
### Data Splits
Available splits are `train` (~ 2M) and `test` (20K).
```python
from datasets import load_dataset
dataset = load_dataset("nicholasKluge/Pt-Corpus-tokenized", split='train')
# If you don't want to download the entire dataset, set streaming to `True`
dataset = load_dataset("nicholasKluge/Pt-Corpus-tokenized", split='train', streaming=True)
```
## Additional Information
### Dataset Curators
[Nicholas Kluge Corrêa](mailto:nicholas@airespucrs.org).
### Citation Information
```latex
@misc{correa24ttllama,
title = {TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese},
author = {Corr{\^e}a, Nicholas Kluge and Falk, Sophia and Fatimah, Shiza and Sen, Aniket and De Oliveira, Nythamar},
journal={arXiv preprint arXiv:2401.16640},
year={2024}
}
@misc{correa24ttllama,
doi = {10.1016/j.mlwa.2024.100558},
url = {https://www.sciencedirect.com/science/article/pii/S2666827024000343},
title = {TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese},
author = {Corr{\^e}a, Nicholas Kluge and Falk, Sophia and Fatimah, Shiza and Sen, Aniket and De Oliveira, Nythamar},
journal={Machine Learning With Applications},
publisher = {Springer},
year={2024}
}
```
### Contributions
If you would like to contribute, contact me at [nicholas@airespucrs.org](mailto:nicholas@airespucrs.org)!
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