Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-label-classification
Languages:
Portuguese
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
| """ptparl dataset.""" | |
| import xml.etree.ElementTree as ET | |
| import datasets | |
| import csv | |
| _DESCRIPTION = """ | |
| The PTPARL dataset is a dataset containing 5713 interventions in the Portuguese parliament. | |
| """ | |
| _HOMEPAGE = "MIT" | |
| _LICENSE = "" | |
| _URL = "https://gist.githubusercontent.com/luist18/e3730636962a117ef0eb9e0659f1cba8/raw/5e55a95aaec8261c7690c7132037121d99c39279/pt_parl.csv" | |
| group_map = { | |
| "PS": 0, | |
| "CDS-PP": 1, | |
| "PCP": 2, | |
| "BE": 3, | |
| "PSD": 4, | |
| "PEV": 5, | |
| "PAN": 6, | |
| "CH": 7, | |
| "IL": 8, | |
| "L": 9, | |
| } | |
| wing_map = { | |
| "LEFT": 0, | |
| "LEAN_LEFT": 1, | |
| "CENTER": 2, | |
| "LEAN_RIGHT": 3, | |
| "RIGHT": 4, | |
| } | |
| class PTPARL(datasets.GeneratorBasedBuilder): | |
| """PTPARL dataset.""" | |
| VERSION = datasets.Version("1.0.0") | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name="full", | |
| version=VERSION, | |
| description="Full dataset", | |
| ), | |
| ] | |
| DEFAULT_CONFIG_NAME = "full" | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| "group": datasets.features.ClassLabel( | |
| names=[ | |
| "PS", | |
| "CDS-PP", | |
| "PCP", | |
| "BE", | |
| "PSD", | |
| "PEV", | |
| "PAN", | |
| "CH", | |
| "IL", | |
| "L", | |
| ] | |
| ), | |
| "wing": datasets.features.ClassLabel( | |
| names=["LEFT", "LEAN_LEFT", "CENTER", "LEAN_RIGHT", "RIGHT"] | |
| ), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=None, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| data_file = dl_manager.download_and_extract(_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "filepath": data_file, | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, filepath): | |
| """Yields examples.""" | |
| id_ = 0 | |
| with open(filepath, encoding="utf-8") as tsv_file: | |
| reader = csv.reader(tsv_file, delimiter=",") | |
| for id_, row in enumerate(reader): | |
| if id_ == 0: | |
| continue | |
| yield id_, { | |
| "text": row[0], | |
| "group": row[1], | |
| "wing": wing_map[row[2]], | |
| } | |