Datasets:
Multilinguality:
multilingual
Size Categories:
1960<n<11,502
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
none. Originally generated from www.wikimedia.org.
ArXiv:
Tags:
License:
import json | |
import os | |
import datasets | |
_CITATION = """\ | |
@inproceedings{Kumar2022IndicNLGSM, | |
title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages}, | |
author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar}, | |
year={2022}, | |
url = "https://arxiv.org/abs/2203.05437" | |
} | |
""" | |
_DESCRIPTION = """\ | |
This is the WikiBio dataset released as part of IndicNLG Suite. Each | |
example has four fields: id, infobox, serialized infobox and summary. We create this dataset in nine | |
languages including as, bn, hi, kn, ml, or, pa, ta, te. The total | |
size of the dataset is 57,426. | |
""" | |
_HOMEPAGE = "https://indicnlp.ai4bharat.org/indicnlg-suite" | |
_LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International Public License" | |
_URL = "https://huggingface.co/datasets/ai4bharat/IndicWikiBio/resolve/main/data/{}_WikiBio_v{}.zip" | |
_LANGUAGES = [ | |
"as", | |
"bn", | |
"hi", | |
"kn", | |
"ml", | |
"or", | |
"pa", | |
"ta", | |
"te" | |
] | |
class WikiBio(datasets.GeneratorBasedBuilder): | |
VERSION = datasets.Version("1.0.0") | |
BUILDER_CONFIGS = [ | |
datasets.BuilderConfig( | |
name="{}".format(lang), | |
version=datasets.Version("1.0.0") | |
) | |
for lang in _LANGUAGES | |
] | |
def _info(self): | |
return datasets.DatasetInfo( | |
description=_DESCRIPTION, | |
features=datasets.Features( | |
{ | |
"id": datasets.Value("string"), | |
"infobox": datasets.Value("string"), | |
"serialized_infobox": datasets.Value("string"), | |
"summary": datasets.Value("string") | |
} | |
), | |
supervised_keys=None, | |
homepage=_HOMEPAGE, | |
citation=_CITATION, | |
license=_LICENSE, | |
version=self.VERSION, | |
) | |
def _split_generators(self, dl_manager): | |
"""Returns SplitGenerators.""" | |
lang = str(self.config.name) | |
url = _URL.format(lang, self.VERSION.version_str[:-2]) | |
data_dir = dl_manager.download_and_extract(url) | |
return [ | |
datasets.SplitGenerator( | |
name=datasets.Split.TRAIN, | |
gen_kwargs={ | |
"filepath": os.path.join(data_dir, lang + "_train" + ".jsonl"), | |
}, | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.TEST, | |
gen_kwargs={ | |
"filepath": os.path.join(data_dir, lang + "_test" + ".jsonl"), | |
}, | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.VALIDATION, | |
gen_kwargs={ | |
"filepath": os.path.join(data_dir, lang + "_val" + ".jsonl"), | |
}, | |
), | |
] | |
def _generate_examples(self, filepath): | |
"""Yields examples as (key, example) tuples.""" | |
with open(filepath, encoding="utf-8") as f: | |
for idx_, row in enumerate(f): | |
data = json.loads(row) | |
yield idx_, { | |
"id": data["id"], | |
"infobox": data["infobox"], | |
"serialized_infobox": data["serialized_infobox"], | |
"summary": data["summary"] | |
} | |