File size: 2,170 Bytes
4448461 2edba4d 4448461 2edba4d 4448461 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
"""TODO(Indicxparaphrase): Add a description here."""
import json
import pandas as pd
import datasets
_HOMEPAGE = ""
_CITATION = """\
"""
_DESCRIPTION = """\
"""
_LANG = ["as", "hi", "kn", "ml", "mr", "pa", "te"]
_URL = "https://huggingface.co./datasets/ai4bharat/IndicXParaphrase/resolve/main/data/{language}.tsv"
_VERSION = datasets.Version("1.0.0", "First version of Indicxparaphrase")
class Indicxparaphrase(datasets.GeneratorBasedBuilder):
"""TODO(Indicxparaphrase): Short description of my dataset."""
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=f"{lang}",
description=f"Cross-lingual paraphrase dataset for language {lang}",
version=_VERSION,
)
for lang in _LANG
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION + self.config.description,
features=datasets.Features(
{
"english": datasets.Value("string"),
"translation": datasets.Value("string"),
"paraphrase": datasets.Value("string"),
"non-paraphrase": datasets.Value("string"),
}
),
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
language = self.config.name
splits = {datasets.Split.TEST: "test"}
data_urls = {
split: _URL.format(language=language) for split in splits
}
dl_paths = dl_manager.download(data_urls)
return [
datasets.SplitGenerator(
name=split,
gen_kwargs={"filepath": dl_paths[split]},
)
for split in splits
]
def _generate_examples(self, filepath):
"""Yields examples."""
df = pd.read_csv(filepath, sep="\t", header=None)
for idx, row in df.iterrows():
yield idx, {
"english": row[0],
"translation": row[1],
"paraphrase": row[2],
"non-paraphrase": row[3],
} |