Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
acronym-identification
License:
Commit
·
15ef643
1
Parent(s):
f80dda9
Convert dataset to Parquet (#6)
Browse files- Convert dataset to Parquet (98ee45b75b2cb1d467f3ba11b7fcb16c0ba0e10b)
- Delete loading script (2ca24aa853751f3c5c72576177e7e9c42db56c10)
- README.md +10 -1
- acronym_identification.py +0 -93
- data/test-00000-of-00001.parquet +3 -0
- data/train-00000-of-00001.parquet +3 -0
- data/validation-00000-of-00001.parquet +3 -0
README.md
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@@ -45,8 +45,17 @@ dataset_info:
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- name: test
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num_bytes: 987712
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num_examples: 1750
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download_size:
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dataset_size: 9733172
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train-eval-index:
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- config: default
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task: token-classification
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- name: test
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num_bytes: 987712
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num_examples: 1750
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download_size: 2071007
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dataset_size: 9733172
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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train-eval-index:
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- config: default
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task: token-classification
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acronym_identification.py
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# coding=utf-8
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# Copyright 2020 HuggingFace Datasets Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Lint as: python3
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import json
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import datasets
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_DESCRIPTION = """\
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Acronym identification training and development sets for the acronym identification task at SDU@AAAI-21.
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"""
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_HOMEPAGE_URL = "https://github.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI"
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_CITATION = """\
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@inproceedings{veyseh-et-al-2020-what,
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title={{What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation}},
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author={Amir Pouran Ben Veyseh and Franck Dernoncourt and Quan Hung Tran and Thien Huu Nguyen},
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year={2020},
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booktitle={Proceedings of COLING},
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link={https://arxiv.org/pdf/2010.14678v1.pdf}
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}
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"""
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_TRAIN_URL = "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/train.json"
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_VALID_URL = "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/dev.json"
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_TEST_URL = "https://raw.githubusercontent.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI/master/dataset/test.json"
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class AcronymIdentification(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("1.0.0")
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"id": datasets.Value("string"),
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"tokens": datasets.Sequence(datasets.Value("string")),
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"labels": datasets.Sequence(
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datasets.ClassLabel(names=["B-long", "B-short", "I-long", "I-short", "O"])
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),
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},
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),
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supervised_keys=None,
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homepage=_HOMEPAGE_URL,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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train_path = dl_manager.download_and_extract(_TRAIN_URL)
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valid_path = dl_manager.download_and_extract(_VALID_URL)
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test_path = dl_manager.download_and_extract(_TEST_URL)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={"datapath": train_path, "datatype": "train"},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={"datapath": valid_path, "datatype": "valid"},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={"datapath": test_path, "datatype": "test"},
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),
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]
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def _generate_examples(self, datapath, datatype):
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with open(datapath, encoding="utf-8") as f:
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data = json.load(f)
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for sentence_counter, d in enumerate(data):
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resp = {
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"id": d["id"],
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"tokens": d["tokens"],
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}
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if datatype != "test":
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resp["labels"] = d["labels"]
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else:
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resp["labels"] = ["O"] * len(d["tokens"])
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yield sentence_counter, resp
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data/test-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:36ea099f3d85fee1094dfcb67d54d1c695a1943e6ae0d88056b3f7bb697c6ad5
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size 206100
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb4abbdd5ef83e0debbc89e65b129aef90a28272beeafb5f97a98413480c2883
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size 1657991
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data/validation-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:395e208ee3f995fd50665dcf25669c565d1014b38d1489914407320287198ab4
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size 206916
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