Datasets:
Tasks:
Token Classification
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
Shivam Mhaskar, Diptesh Kanojia
Source Datasets:
original
License:
File size: 4,714 Bytes
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"""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"]
}
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