Datasets:
Tasks:
Token Classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
License:
| # coding=utf-8 | |
| # Copyright 2020 HuggingFace Datasets Authors. | |
| # | |
| # 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. | |
| # Lint as: python3 | |
| import json | |
| import datasets | |
| _DESCRIPTION = """\ | |
| Acronym identification training and development sets for the acronym identification task at SDU@AAAI-21. | |
| """ | |
| _HOMEPAGE_URL = "https://github.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI" | |
| _CITATION = """\ | |
| @inproceedings{veyseh-et-al-2020-what, | |
| title={{What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation}}, | |
| author={Amir Pouran Ben Veyseh and Franck Dernoncourt and Quan Hung Tran and Thien Huu Nguyen}, | |
| year={2020}, | |
| booktitle={Proceedings of COLING}, | |
| link={https://arxiv.org/pdf/2010.14678v1.pdf} | |
| } | |
| """ | |
| _TRAIN_URL = "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/train.json" | |
| _VALID_URL = "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/dev.json" | |
| _TEST_URL = "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/test.json" | |
| class AcronymIdentification(datasets.GeneratorBasedBuilder): | |
| VERSION = datasets.Version("1.0.0") | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "tokens": datasets.Sequence(datasets.Value("string")), | |
| "labels": datasets.Sequence( | |
| datasets.ClassLabel(names=["B-long", "B-short", "I-long", "I-short", "O"]) | |
| ), | |
| }, | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE_URL, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| train_path = dl_manager.download_and_extract(_TRAIN_URL) | |
| valid_path = dl_manager.download_and_extract(_VALID_URL) | |
| test_path = dl_manager.download_and_extract(_TEST_URL) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={"datapath": train_path, "datatype": "train"}, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={"datapath": valid_path, "datatype": "valid"}, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={"datapath": test_path, "datatype": "test"}, | |
| ), | |
| ] | |
| def _generate_examples(self, datapath, datatype): | |
| with open(datapath, encoding="utf-8") as f: | |
| data = json.load(f) | |
| for sentence_counter, d in enumerate(data): | |
| resp = { | |
| "id": d["id"], | |
| "tokens": d["tokens"], | |
| } | |
| if datatype != "test": | |
| resp["labels"] = d["labels"] | |
| else: | |
| resp["labels"] = ["O"] * len(d["tokens"]) | |
| yield sentence_counter, resp | |