muhammadravi251001/translated-indo-nli

---
tags:
- translated-indonli
license: bigscience-openrail-m
datasets:
- indonli
---

On this repository, I just downloaded and processed the `translate_train.tar.gz` file here: `https://github.com/ir-nlp-csui/indonli/tree/main/data`

How to use? As simple as this:

```python
!wget https://huggingface.co/datasets/muhammadravi251001/translated-indo-nli/raw/main/dev.jsonl
!wget https://huggingface.co/datasets/muhammadravi251001/translated-indo-nli/resolve/main/train.jsonl

import pandas as pd
data_train_translated_indonli = pd.read_json(path_or_buf='train.jsonl', lines=True)
data_dev_translated_indonli = pd.read_json(path_or_buf='dev.jsonl', lines=True)
```
Voila~!

## Reference

The dataset I used is by IndoNLI.

```
@inproceedings{indonli,
title = "IndoNLI: A Natural Language Inference Dataset for Indonesian",
author = "Mahendra, Rahmad and Aji, Alham Fikri and Louvan, Samuel and Rahman, Fahrurrozi and Vania, Clara",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2021",
publisher = "Association for Computational Linguistics",
}
```

原始信息汇总

数据集概述

标签

• 标签:
  • translated-indonli
• 许可证:
  • bigscience-openrail-m
• 数据集:
  • indonli

数据来源

• 数据文件: translate_train.tar.gz
• 来源链接: https://github.com/ir-nlp-csui/indonli/tree/main/data

使用方法

• 下载数据: python !wget https://huggingface.co/datasets/muhammadravi251001/translated-indo-nli/raw/main/dev.jsonl !wget https://huggingface.co/datasets/muhammadravi251001/translated-indo-nli/resolve/main/train.jsonl

• 加载数据: python import pandas as pd data_train_translated_indonli = pd.read_json(path_or_buf=train.jsonl, lines=True) data_dev_translated_indonli = pd.read_json(path_or_buf=dev.jsonl, lines=True)

参考文献

• 数据集来源: IndoNLI

• 参考文献:

  @inproceedings{indonli, title = "IndoNLI: A Natural Language Inference Dataset for Indonesian", author = "Mahendra, Rahmad and Aji, Alham Fikri and Louvan, Samuel and Rahman, Fahrurrozi and Vania, Clara", booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing", month = nov, year = "2021", publisher = "Association for Computational Linguistics", }