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"""TODO(IndicSentiment): Add a description here."""
import json
import datasets
_HOMEPAGE = ""
_CITATION = """\
"""
_DESCRIPTION = """\
"""
_LANG = ["as", "bn", "bd", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te", "ur"]
_URL = "https://huggingface.co/datasets/ai4bharat/IndicSentiment/resolve/main/data/{split}/{language}.json"
_VERSION = datasets.Version("1.0.0", "First version of IndicSentiment")
class HAIndicSentiment(datasets.GeneratorBasedBuilder):
"""TODO(IndicSentiment): Short description of my dataset."""
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name=f"translation-{lang}",
description=f"translated sentiment data for {lang}",
version=_VERSION,
)
for lang in _LANG
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION + self.config.description,
features=datasets.Features(
{
"GENERIC CATEGORIES": datasets.Value("string"),
"CATEGORY": datasets.Value("string"),
"SUB-CATEGORY": datasets.Value("string"),
"PRODUCT": datasets.Value("string"),
"BRAND": datasets.Value("string"),
"ASPECTS": datasets.Value("string"),
"ASPECT COMBO": datasets.Value("string"),
"ENGLISH REVIEW": datasets.Value("string"),
"LABEL": datasets.Value("string"),
"INDIC REVIEW": datasets.Value("string"),
}
),
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
*translation_prefix, language = self.config.name.split("-")
splits = {datasets.Split.VALIDATION: "validation", datasets.Split.TEST: "test"}
data_urls = {
split: _URL.format(language=language, split=splits[split]) 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."""
with open(filepath, encoding="utf-8") as f:
for idx, row in enumerate(f):
data = json.loads(row)
yield idx, data
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