iwn_wordlists.py

"""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"]
                }