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"""Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts.""" |
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from __future__ import absolute_import, division, print_function |
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import json |
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import os |
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import datasets |
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_CITATION = """\ |
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@misc{ |
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author={Sawatphol, Jitkapat}, |
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title={Thai Literature Corpora}, |
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year={2019}, |
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howpublished={\\url{https://attapol.github.io/tlc.html}} |
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} |
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""" |
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_HOMEPAGE = "https://attapol.github.io/tlc.html" |
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_DESCRIPTION = """\ |
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Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts. |
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Release: 6/25/19 |
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It consists of two datasets: |
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## TLC set |
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It is texts from [Vajirayana Digital Library](https://vajirayana.org/), stored by chapters and stanzas (non-tokenized). |
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tlc v.2.0 (6/17/19 : a total of 34 documents, 292,270 lines, 31,790,734 characters) |
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tlc v.1.0 (6/11/19 : a total of 25 documents, 113,981 lines, 28,775,761 characters) |
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## TNHC set |
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It is texts from Thai National Historical Corpus, stored by lines (manually tokenized). |
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tnhc v.1.0 (6/25/19 : a total of 47 documents, 756,478 lines, 13,361,142 characters) |
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""" |
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_URLs = { |
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"tlcv1.0": "https://drive.google.com/uc?export=download&id=15E64fwMeAff0bAsFGaSsv9NYeVHn1drE", |
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"tlcv2.0": "https://drive.google.com/uc?export=download&id=1S2T72b3Kkcvy4XZcxwIipoRn6ELa4hhV", |
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"tnhcv1.0": "https://drive.google.com/uc?export=download&id=1T_ib-NOwQV6O6lEjCjvZReUA3pQ4h-gD", |
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} |
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class TlcConfig(datasets.BuilderConfig): |
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"""BuilderConfig for Tlc.""" |
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def __init__(self, **kwargs): |
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"""BuilderConfig for Tlc. |
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Args: |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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super(TlcConfig, self).__init__(**kwargs) |
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class Tlc(datasets.GeneratorBasedBuilder): |
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"""Thai Literature Corpora (TLC): Corpora of machine-ingestible Thai classical literature texts.""" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name="tlcv1.0", version=datasets.Version("1.0.0"), description="Thai Literature Corpora" |
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), |
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datasets.BuilderConfig( |
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name="tlcv2.0", version=datasets.Version("2.0.0"), description="Thai Literature Corpora" |
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), |
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datasets.BuilderConfig( |
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name="tnhcv1.0", |
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version=datasets.Version("1.0.0"), |
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description="Thai Literature Corpora: Thai National Historical Corpus", |
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), |
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] |
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DEFAULT_CONFIG_NAME = "tlcv2.0" |
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def _info(self): |
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if self.config.name.startswith("tlc"): |
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features = datasets.Features( |
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{ |
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"ch_num": datasets.Value("string"), |
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"title": datasets.Value("string"), |
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"text": datasets.Sequence(datasets.Sequence(datasets.Value("string"))), |
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} |
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) |
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else: |
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features = datasets.Features( |
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{ |
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"text": datasets.Sequence((datasets.Value("string"))), |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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data_path = dl_manager.download_and_extract(_URLs[self.config.name]) |
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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={"directory": data_path}, |
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) |
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] |
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def _generate_examples(self, directory): |
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if self.config.name.startswith("tlc"): |
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files = [os.path.join(directory, "นิราศอิเหนา.json")] |
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else: |
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files = [os.path.join(directory, "กาพย์เห่เรือ.json")] |
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_id = 0 |
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for txt_file in files: |
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data = json.load(open(txt_file, encoding="utf-8")) |
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for d in data: |
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if self.config.name.startswith("tlc"): |
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yield _id, d |
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else: |
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yield _id, {"text": d} |
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_id += 1 |
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