Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Size:
10K - 100K
ArXiv:
Tags:
causal-reasoning
License:
| # coding=utf-8 | |
| # Copyright 2021 The HuggingFace Datasets Authors and Ilya Gusev | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """HeadlineCause: A Dataset of News Headlines for Detecting Casualties""" | |
| import json | |
| import os | |
| import datasets | |
| _CITATION = """ | |
| @misc{gusev2021headlinecause, | |
| title={HeadlineCause: A Dataset of News Headlines for Detecting Casualties}, | |
| author={Ilya Gusev and Alexey Tikhonov}, | |
| year={2021}, | |
| eprint={2108.12626}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| """ | |
| _DESCRIPTION = "A Dataset of News Headlines for Detecting Casualties" | |
| _HOMEPAGE = "https://github.com/IlyaGusev/HeadlineCause" | |
| _URLS = { | |
| "ru_simple": { | |
| "train": "ru/simple/train.jsonl", | |
| "val": "ru/simple/val.jsonl", | |
| "test": "ru/simple/test.jsonl" | |
| }, | |
| "ru_full": { | |
| "train": "ru/full/train.jsonl", | |
| "val": "ru/full/val.jsonl", | |
| "test": "ru/full/test.jsonl" | |
| }, | |
| "en_simple": { | |
| "train": "en/simple/train.jsonl", | |
| "val": "en/simple/val.jsonl", | |
| "test": "en/simple/test.jsonl" | |
| }, | |
| "en_full": { | |
| "train": "en/full/train.jsonl", | |
| "val": "en/full/val.jsonl", | |
| "test": "en/full/test.jsonl", | |
| } | |
| } | |
| class HeadlineCauseDataset(datasets.GeneratorBasedBuilder): | |
| """HeadlineCause Dataset""" | |
| VERSION = datasets.Version("1.1.0") | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig(name="ru_simple", version=VERSION, description="Russian language, Simple task"), | |
| datasets.BuilderConfig(name="en_simple", version=VERSION, description="English language, Simple task"), | |
| datasets.BuilderConfig(name="ru_full", version=VERSION, description="Russian language, Full task"), | |
| datasets.BuilderConfig(name="en_full", version=VERSION, description="English language, Full task"), | |
| ] | |
| DEFAULT_CONFIG_NAME = "en_simple" | |
| def _info(self): | |
| features = datasets.Features( | |
| { | |
| "left_url": datasets.Value("string"), | |
| "right_url": datasets.Value("string"), | |
| "left_title": datasets.Value("string"), | |
| "right_title": datasets.Value("string"), | |
| "left_timestamp": datasets.Value("timestamp[s]"), | |
| "right_timestamp": datasets.Value("timestamp[s]"), | |
| "id": datasets.Value("string"), | |
| "has_link": datasets.Value("bool"), | |
| "label": datasets.Value("int8"), | |
| "result": datasets.Value("string"), | |
| "agreement": datasets.Value("double") | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| downloaded_files = dl_manager.download_and_extract(_URLS[self.config.name]) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), | |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}), | |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["val"]}), | |
| ] | |
| def _generate_examples(self, filepath): | |
| with open(filepath, encoding="utf-8") as f: | |
| for row in f: | |
| data = json.loads(row) | |
| yield data["id"], data | |