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- # Audio files - uncompressed
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IndicXParaphrase.py DELETED
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- """TODO(Indicxparaphrase): Add a description here."""
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-
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-
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- import json
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- import pandas as pd
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- import datasets
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-
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-
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- _HOMEPAGE = ""
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-
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- _CITATION = """\
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-
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- """
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-
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- _DESCRIPTION = """\
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-
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- """
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-
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- _LANG = ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "te"]
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- _URL = "https://huggingface.co/datasets/ai4bharat/IndicXParaphrase/resolve/main/data/{language}.tsv"
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- _VERSION = datasets.Version("1.0.0", "First version of Indicxparaphrase")
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-
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-
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- class Indicxparaphrase(datasets.GeneratorBasedBuilder):
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- """TODO(Indicxparaphrase): Short description of my dataset."""
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- BUILDER_CONFIGS = [
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- datasets.BuilderConfig(
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- name=f"{lang}",
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- description=f"Cross-lingual paraphrase dataset for language {lang}",
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- version=_VERSION,
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- )
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- for lang in _LANG
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- ]
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-
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- def _info(self):
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION + self.config.description,
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- features=datasets.Features(
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- {
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- "english": datasets.Value("string"),
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- "sentence1": datasets.Value("string"),
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- "sentence2": datasets.Value("string"),
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- "label": datasets.features.ClassLabel(names=["0", "1"]),
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- }
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- ),
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- homepage=_HOMEPAGE,
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- citation=_CITATION,
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- )
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-
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- def _split_generators(self, dl_manager):
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- """Returns SplitGenerators."""
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- language = self.config.name
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- splits = {datasets.Split.TEST: "test"}
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- data_urls = {
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- split: _URL.format(language=language) for split in splits
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- }
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- dl_paths = dl_manager.download(data_urls)
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- return [
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- datasets.SplitGenerator(
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- name=split,
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- gen_kwargs={"filepath": dl_paths[split]},
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- )
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- for split in splits
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- ]
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-
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- def _generate_examples(self, filepath):
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- """Yields examples."""
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- df = pd.read_csv(filepath, sep="\t")
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- for idx, row in df.iterrows():
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- yield idx, {
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- "english": row['en'],
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- "sentence1": row['sentence1'],
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- "sentence2": row['sentence2'],
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- "label": row['label'],
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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data/as.tsv DELETED
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data/bn.tsv DELETED
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data/hi.tsv DELETED
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data/or.tsv DELETED
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data/pa.tsv DELETED
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data/te.tsv DELETED
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