muhammadravi251001/translated-indo-nli
收藏资源简介:
--- 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", } ```
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", }



