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import datasets
import pandas as pd
import six
def convert_to_unicode(text):
"""Converts `text` to Unicode (if it's not already), assuming utf-8 input."""
if six.PY3:
if isinstance(text, str):
return text
elif isinstance(text, bytes):
return text.decode("utf-8", "ignore")
else:
raise ValueError("Unsupported string type: %s" % (type(text)))
elif six.PY2:
if isinstance(text, str):
return text.decode("utf-8", "ignore")
elif isinstance(text, unicode):
return text
else:
raise ValueError("Unsupported string type: %s" % (type(text)))
else:
raise ValueError("Not running on Python2 or Python 3?")
class AGPairDataset(datasets.GeneratorBasedBuilder):
"""A dataset script for loading AGNews(pair). Version 1.0.0"""
VERSION = datasets.Version("1.0.0")
_URL = "./"
_URLS = {
"train": _URL + "train.tsv",
# "train_aug": _URL + "train_aug.tsv",
"test": _URL + "test.tsv",
}
_NAMES = [
"same",
"different"
]
def _info(self):
# TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
features = datasets.Features(
{
"news1": datasets.Value("string"),
"news2": datasets.Value("string"),
"label": datasets.ClassLabel(names=self._NAMES)
}
)
return datasets.DatasetInfo(
# This is the description that will appear on the datasets page.
description="Pair of AGNews dataset, generated by AGNews",
# This defines the different columns of the dataset and their types
features=features
)
def _split_generators(self, dl_manager: datasets.DownloadManager):
urls_to_download = self._URLS
downloaded_files = dl_manager.download_and_extract(urls_to_download)
return [
datasets.SplitGenerator(name="train", gen_kwargs={"filepath": downloaded_files["train"], "split": "train"}),
# datasets.SplitGenerator(name="train_aug", gen_kwargs={"filepath": downloaded_files["train_aug"], "split": "train_aug"}),
datasets.SplitGenerator(name="validation", gen_kwargs={"filepath": downloaded_files["test"], "split": "test"}),
]
def _generate_examples(self, filepath, split):
# TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
with open(filepath, encoding="utf-8") as f:
for key,line in enumerate(f):
if key == 0:
continue
line = line.strip().split("\t")
yield key, {
"news1": convert_to_unicode(line[1]+" - "+line[2]),
"news2": convert_to_unicode(line[3]+" - "+line[4]),
"label": convert_to_unicode(line[0])
} |