Datasets:
File size: 4,511 Bytes
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#!/usr/bin/python3
# -*- coding: utf-8 -*-
from glob import glob
import json
import os
from pathlib import Path
import datasets
_URLS = {
"faq": "data/faq.json",
"product": "data/product.jsonl",
}
_CITATION = """\
@dataset{early_media,
author = {Xing Tian},
title = {e_commerce_customer_service},
month = aug,
year = 2023,
publisher = {Xing Tian},
version = {1.0},
}
"""
class TelemarketingVoiceClassification(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(name="faq", version=VERSION, description="faq"),
datasets.BuilderConfig(name="product", version=VERSION, description="product"),
]
def _info(self):
if self.config.name == "faq":
features = datasets.Features(
{
"url": datasets.Value("string"),
"question": datasets.Value("string"),
"answer": datasets.Value("string"),
"label": datasets.Value("string"),
}
)
elif self.config.name == "product":
features = datasets.Features(
{
"title": datasets.Value("string"),
"brand": datasets.Value("string"),
"review": datasets.Value("string"),
"description": datasets.Value("string"),
"mpn": datasets.Value("string"),
"color": datasets.Sequence(datasets.Value("string")),
"size": datasets.Sequence(datasets.Value("string")),
"sku": datasets.Value("string"),
"ratingValue": datasets.Value("float32"),
"reviewCount": datasets.Value("int64"),
"overview": datasets.Value("string"),
"category": datasets.Value("string"),
"url": datasets.Value("string"),
}
)
else:
raise NotImplementedError
return datasets.DatasetInfo(
features=features,
supervised_keys=None,
homepage="",
license="",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
url = _URLS[self.config.name]
dl_path = dl_manager.download_and_extract(url)
archive_path = dl_path
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"archive_path": archive_path, "split": "train"},
),
]
def _generate_faq(self, archive_path, split):
archive_path = Path(archive_path)
with open(archive_path, "r", encoding="utf-8") as f:
faq = json.load(f)
idx = 0
for qa in faq:
yield idx, {
"url": qa["url"],
"question": qa["question"],
"answer": qa["answer"],
"label": qa["label"],
}
idx += 1
def _generate_product(self, archive_path, split):
archive_path = Path(archive_path)
idx = 0
with open(archive_path, "r", encoding="utf-8") as f:
for row in f:
row = json.loads(row)
yield idx, {
"title": row["title"],
"brand": row["brand"],
"review": row["review"],
"description": row["description"],
"mpn": row["mpn"],
"color": row["color"],
"size": row["size"],
"sku": row["sku"],
"ratingValue": float(row["ratingValue"]) if row["ratingValue"] is not None else None,
"reviewCount": int(row["reviewCount"]) if row["reviewCount"] is not None else None,
"overview": row["overview"],
"category": row["category"],
"url": row["url"],
}
idx += 1
def _generate_examples(self, archive_path, split):
"""Yields examples."""
if self.config.name == "faq":
return self._generate_faq(archive_path, split)
elif self.config.name == "product":
return self._generate_product(archive_path, split)
else:
raise NotImplementedError
if __name__ == '__main__':
pass
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