---
language:
- id
- jv
- su
dataset_info:
  features:
  - name: text
    dtype: string
  - name: url
    dtype: string
  - name: score
    dtype: float32
  - name: source
    dtype: string
  splits:
  - name: ace
    num_bytes: 221111651
    num_examples: 792594
  - name: ban
    num_bytes: 70299985
    num_examples: 244545
  - name: bjn
    num_bytes: 80927139
    num_examples: 296314
  - name: ind
    num_bytes: 2494248742
    num_examples: 8098063
  - name: jav
    num_bytes: 296261404
    num_examples: 1155142
  - name: min
    num_bytes: 20231649
    num_examples: 113323
  - name: sun
    num_bytes: 254676532
    num_examples: 894626
  download_size: 1936122223
  dataset_size: 3437757102
configs:
- config_name: default
  data_files:
  - split: ace
    path: data/ace-*
  - split: ban
    path: data/ban-*
  - split: bjn
    path: data/bjn-*
  - split: ind
    path: data/ind-*
  - split: jav
    path: data/jav-*
  - split: min
    path: data/min-*
  - split: sun
    path: data/sun-*
---
# Dataset Card for [acul3/KoPI-NLLB - NearDup Subset]
## Dataset Summary
This dataset is a subset of the KoPI-NLLB, focusing only on near-duplicate entries across various Indonesian languages. It is provided in parquet format and includes multiple low-resource languages from Indonesia. The dataset features textual data with accompanying metadata (url, score, source), making it useful for natural language processing tasks such as translation, text similarity, and language modeling.

## Languages
The dataset contains entries for the following Indonesian languages:

- Acehnese (ace)
- Balinese (ban)
- Banjarese (bjn)
- Indonesian (ind)
- Javanese (jav)
- Minangkabau (min)
- Sundanese (sun)

## Features
Each dataset contains the following features:

text: The text content in the respective language.
url: The source URL where the text was extracted.
score: A score indicating the similarity to a reference dataset.
source: The originating source or dataset for the entry.

## Usage
This dataset can be loaded using the following code snippet:
```
from datasets import load_dataset

dataset = load_dataset("acul3/KoPI-NLLB", name = "ace") # or "ban", "bjn", "ind", "jav", "min", "sun"
```

## Citation
If you use this dataset, please cite the original KoPI-NLLB dataset and this subset. You can cite it as:
```
@inproceedings{acul3kopi2024,
  title={KoPI-NLLB: NearDup Subset},
  author={Acul3},
  year={2024},
  publisher={Hugging Face Datasets}
}
```