Datasets:

cfilt
/

iwn_wordlists

	"""IWN-WordLists"""


	import csv
	import json
	import os

	import datasets


	_CITATION = """\
	@inproceedings{bhattacharyya2010indowordnet,
	title={IndoWordNet},
	author={Bhattacharyya, Pushpak},
	booktitle={Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
	year={2010}
	}
	"""

	_DESCRIPTION = """\
	We provide the unique word list form the IndoWordnet (IWN) knowledge base.
	"""

	_HOMEPAGE = "https://www.cfilt.iitb.ac.in/indowordnet/"

	# TODO: Add the licence for the dataset here if you can find it
	_LICENSE = ""

	_URLS = {
	"assamese": "./assamese.json",
	"bengali": "./bengali.json",
	"bodo": "./bodo.json",
	"gujarati": "./gujarati.json",
	"hindi": "./hindi.json",
	"kannada": "./kannada.json",
	"kashmiri": "./kashmiri.json",
	"konkani": "./konkani.json",
	"malayalam": "./malayalam.json",
	"manipuri": "./manipuri.json",
	"marathi": "./marathi.json",
	"meitei": "./meitei.json",
	"nepali": "./nepali.json",
	"oriya": "./oriya.json",
	"punjabi": "./punjabi.json",
	"sanskrit": "./sanskrit.json",
	"tamil": "./tamil.json",
	"telugu": "./telugu.json",
	"urdu": "./urdu.json"
	}

	class IWNWordListsConfig(datasets.BuilderConfig):
	"""BuilderConfig for IWNWordLists."""

	def __init__(self, name, **kwargs):
	"""
	Args:
	name: `string`, name of dataset config
	**kwargs: keyword arguments forwarded to super.
	"""
	super(IWNWordListsConfig, self).__init__(name=name, **kwargs)

	class IWNWordLists(datasets.GeneratorBasedBuilder):
	"""TODO: Short description of my dataset."""

	VERSION = datasets.Version("1.1.0")

	BUILDER_CONFIGS = [
	datasets.BuilderConfig(name="assamese", version=VERSION, description="Assamese Word List"),
	datasets.BuilderConfig(name="bengali", version=VERSION, description="Bengali Word List"),
	datasets.BuilderConfig(name="bodo", version=VERSION, description="Bodo Word List"),
	datasets.BuilderConfig(name="gujarati", version=VERSION, description="Gujarati Word List"),
	datasets.BuilderConfig(name="hindi", version=VERSION, description="Hindi Word List"),
	datasets.BuilderConfig(name="kannada", version=VERSION, description="Kannada Word List"),
	datasets.BuilderConfig(name="kashmiri", version=VERSION, description="Kashmiri Word List"),
	datasets.BuilderConfig(name="konkani", version=VERSION, description="Konkani Word List"),
	datasets.BuilderConfig(name="malayalam", version=VERSION, description="Malyalam Word List"),
	datasets.BuilderConfig(name="manipuri", version=VERSION, description="Manipuri Word List"),
	datasets.BuilderConfig(name="marathi", version=VERSION, description="Marathi Word List"),
	datasets.BuilderConfig(name="meitei", version=VERSION, description="Meitei Word List"),
	datasets.BuilderConfig(name="nepali", version=VERSION, description="Nepali Word List"),
	datasets.BuilderConfig(name="oriya", version=VERSION, description="Oriya Word List"),
	datasets.BuilderConfig(name="punjabi", version=VERSION, description="Punjabi Word List"),
	datasets.BuilderConfig(name="sanskrit", version=VERSION, description="Sanskrit Word List"),
	datasets.BuilderConfig(name="tamil", version=VERSION, description="Tamil Word List"),
	datasets.BuilderConfig(name="telugu", version=VERSION, description="Telugu Word List"),
	datasets.BuilderConfig(name="urdu", version=VERSION, description="Urdu Word List"),


	]

	# DEFAULT_CONFIG_NAME = "first_domain" # It's not mandatory to have a default configuration. Just use one if it make sense.

	def _info(self):
	features = datasets.Features(
	{
	"word": datasets.Value("string")
	}
	)
	return datasets.DatasetInfo(
	description=_DESCRIPTION,
	features=features,
	homepage=_HOMEPAGE,
	license=_LICENSE,
	citation=_CITATION,
	)

	def _split_generators(self, dl_manager):
	urls = _URLS[self.config.name]
	data_dir = dl_manager.download_and_extract(urls)
	return [
	datasets.SplitGenerator(
	name=datasets.Split.TRAIN,
	gen_kwargs={
	"filepath": data_dir,
	"split": "train",
	},
	)
	]

	def _generate_examples(self, filepath, split):
	with open(filepath, encoding="utf-8") as f:
	data = json.load(f)
	for key, row in enumerate(data["data"]):
	yield key, {
	"word": row["word"]
	}