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LICENSE

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README.md

@@ -1,65 +0,0 @@
----
-annotations_creators:
-- Shivam Mhaskar, Diptesh Kanojia
-language_creators:
-- found
-language:
-- as
-- bn
-- mni
-- gu
-- hi
-- kn
-- ks
-- kok
-- ml
-- mr
-- or
-- ne
-- pa
-- sa
-- ta
-- te
-- ur
-license: cc-by-nc-sa-4.0
-multilinguality:
-- monolingual
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-task_categories:
-- token-classification
-task_ids: []
-paperswithcode_id: plod-filtered
-pretty_name: 'PLOD: An Abbreviation Detection Dataset'
-tags:
-- abbreviation-detection
----
-
-<p align="center"><img src="https://huggingface.co/datasets/cfilt/HiNER-collapsed/raw/main/cfilt-dark-vec.png" alt="Computation for Indian Language Technology Logo" width="150" height="150"/></p>
-
-# IWN Wordlists
-
-[![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%20--SA%204.0-orange.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/) [![Twitter Follow](https://img.shields.io/twitter/follow/cfiltnlp?color=1DA1F2&logo=twitter&style=flat-square)](https://twitter.com/cfiltnlp) [![Twitter Follow](https://img.shields.io/twitter/follow/PeopleCentredAI?color=1DA1F2&logo=twitter&style=flat-square)](https://twitter.com/PeopleCentredAI)
-
-
-We provide the unique word list form the [IndoWordnet (IWN)](https://www.cfilt.iitb.ac.in/indowordnet/) knowledge base.
-
-## Usage
-```python
-from datasets import load_dataset
-language = "hindi" // supported languages: assamese, bengali, bodo, gujarati, hindi, kannada, kashmiri, konkani, malayalam, manipuri, marathi, meitei, nepali, oriya, punjabi, sanskrit, tamil, telugu, urdu.
-words = load_dataset("cfilt/iwn_wordlists", language)
-word_list = words["train"]["word"]
-```
-
-## Citation
-```latex
-@inproceedings{bhattacharyya2010indowordnet,
-  title={IndoWordNet},
-  author={Bhattacharyya, Pushpak},
-  booktitle={Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
-  year={2010}
-}
-```

assamese/iwn_wordlists-train.parquet

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+size 731497

bodo/iwn_wordlists-train.parquet

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+size 415621

dataset_infos.json

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gujarati/iwn_wordlists-train.parquet

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hindi/iwn_wordlists-train.parquet

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iwn_wordlists.py

@@ -1,126 +0,0 @@
-"""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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