File size: 2,157 Bytes
4491bf8 fa0e869 4491bf8 e42d83f 4491bf8 e42d83f 390edc7 dcff19d e42d83f 390edc7 51440bf e42d83f 4491bf8 51440bf |
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 |
import csv
import datasets
_CITATION = """
@InProceedings{--,
author = {---},
title = {---},
booktitle = {---},
year = 2021,
address = "---"
}
"""
_DESCRIPTION = """\
The Norwegian Parliament Speeches is a collection of text passages from
1998 to 2016 and pronounced at the Norwegian Parliament (Storting) by members
of the two major parties: Fremskrittspartiet and Sosialistisk Venstreparti.
"""
_HOMEPAGE = "https://github.com/NBAiLab/notram/"
_BASE_URL = "https://huggingface.co/datasets/NbAiLab/norwegian_parliament/raw/main/data/"
_URLS = {
"train": f"{_BASE_URL}train.tsv",
"dev": f"{_BASE_URL}dev.tsv",
"test": f"{_BASE_URL}test.tsv",
}
class NorwegianParliament(datasets.GeneratorBasedBuilder):
"""Norwegian Parliament Speeches (1998, 2016)"""
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"text": datasets.Value("string"),
"label": datasets.ClassLabel(names=["Fremskrittspartiet", "Sosialistisk Venstreparti"]),
}
),
supervised_keys=None,
homepage=_HOMEPAGE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
downloaded_files = dl_manager.download(_URLS)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as file:
reader = csv.reader(file, delimiter="\t")
#next(reader) # Skip the header
for idx, row in enumerate(reader):
label, text = row
yield idx, {
"text": text,
"label": label,
}
|