| |
| """caner_replicate.ipynb |
| |
| Automatically generated by Colaboratory. |
| |
| Original file is located at |
| https://colab.research.google.com/drive/1QgToSf5_B5l43oRCKwI2vGEB0YcRUtHe |
| """ |
|
|
| import csv |
| import os |
|
|
| import datasets |
|
|
|
|
| _CITATION = """\ |
| @article{article, |
| author = {Salah, Ramzi and Zakaria, Lailatul}, |
| year = {2018}, |
| month = {12}, |
| pages = {}, |
| title = {BUILDING THE CLASSICAL ARABIC NAMED ENTITY RECOGNITION CORPUS (CANERCORPUS)}, |
| volume = {96}, |
| journal = {Journal of Theoretical and Applied Information Technology} |
| } |
| """ |
|
|
| _DESCRIPTION = """\ |
| Classical Arabic Named Entity Recognition corpus as a new corpus of tagged data that can be useful for handling the issues in recognition of Arabic named entities. |
| """ |
|
|
| _HOMEPAGE = "https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus" |
| _HOMEPAGE = "https://github.com/omarmohamed2011/caner_data_copy" |
| |
| _LICENSE = "" |
|
|
| |
| _URL = 'https://github.com/omarmohamed2011/caner_data_copy/blob/main/df_caner.zip' |
|
|
| class Caner(datasets.GeneratorBasedBuilder): |
| """Classical Arabic Named Entity Recognition corpus as a new corpus of tagged data that can be useful for handling the issues in recognition of Arabic named entities""" |
|
|
| VERSION = datasets.Version("1.1.0") |
|
|
| def _info(self): |
|
|
| features = datasets.Features( |
| { |
| "token": datasets.Value("string"), |
| "ner_tag": datasets.ClassLabel( |
| names =['MalikIbnAnas', |
| 'Sibawayh', |
| 'IbnHisham', |
| 'IbnSulaymanKufi', |
| 'Bukhari', |
| 'KhalilFarahidi', |
| 'FathIbnKhaqan', |
| 'IbnHamzaKisai', |
| 'IbnTayfur', |
| 'MuhammadBarjlani', |
| 'ImamCaskari', |
| 'AbdAllahIbnCabbas', |
| 'IbnAyyubRazi', |
| 'IbnWaddahQurtubi', |
| 'HasanBasri', |
| 'IbnAbiKhaythama', |
| 'YahyaIbnHusayn', |
| 'SufyanThawri', |
| 'IbnQuraybAsmaci', |
| 'IbnIsmacilKirmani', |
| 'IbnCimranMawsili', |
| 'Mubarrad', |
| 'MuhammadShaybani', |
| 'AbuZurcaDimashqi', |
| 'IbnWahbQurashi', |
| 'MacmarIbnMuthanna', |
| 'YahyaIbnSalam', |
| 'AbuHasanSacdi', |
| 'IbnIbrahimBursi', |
| 'IbnSirin', |
| 'Baladhuri', |
| 'CaliIbnAbiTalib', |
| 'IbnZiyadFarra', |
| 'AbuYusufYacqub', |
| 'IbnHanbal', |
| 'ZubayrIbnBakkar', |
| 'AbuBakrBazzar', |
| 'Fakihi', |
| 'IbnMuzahimMinqari', |
| 'AbyZurca', |
| 'AkhfashAwsat', |
| 'AhmadBarqi', |
| 'IbnAhmadIbnHanbal', |
| 'IbnCabdHakam', |
| 'CabdRazzakSancani', |
| 'AbuHatimSijistani', |
| 'IbnSacd', |
| 'IbnHammadKhuzaci', |
| 'IbnCaliMarwazi', |
| 'MujahidIbnJabr', |
| 'Bahshal', |
| 'IbnHasanSaffar'] |
|
|
| ), |
| } |
| ) |
|
|
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=features, |
| supervised_keys=None, |
| homepage=_HOMEPAGE, |
| license=_LICENSE, |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| """Returns SplitGenerators.""" |
|
|
| my_urls = _URL |
| data_dir = dl_manager.download_and_extract(my_urls) |
| |
| data_dir = '/content/df_caner.csv' |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| |
| |
| gen_kwargs={ |
| "filepath": data_dir, |
| |
| "split": "train", |
| }, |
| ) |
| ] |
|
|
| def _generate_examples(self, filepath, split): |
| """Yields examples.""" |
|
|
| with open(filepath, encoding="utf-8") as csv_file: |
| reader = csv.reader(csv_file, delimiter=",") |
| next(reader, None) |
|
|
| for id_, row in enumerate(reader): |
|
|
| yield id_, { |
| "token": row[0], |
| "ner_tag": row[1], |
| } |
