data upload
Browse files- .gitattributes +1 -0
- data/test.iob +3 -0
- data/train.iob +3 -0
- data/valid.iob +3 -0
- kpwr_long.py +163 -0
.gitattributes
CHANGED
@@ -34,6 +34,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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# Audio files - uncompressed
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*.pcm filter=lfs diff=lfs merge=lfs -text
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*.sam filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.iob filter=lfs diff=lfs merge=lfs -text
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# Audio files - uncompressed
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*.pcm filter=lfs diff=lfs merge=lfs -text
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*.sam filter=lfs diff=lfs merge=lfs -text
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data/test.iob
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0f3e66247c7de192d3236f73b6a21277030e147fc73ed54b000213905d9dbb5
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size 2233450
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data/train.iob
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c2bceb49db6c07e65bdab8b4bbe5016f05fdb137695744302a6484773e726cc
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size 4429977
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data/valid.iob
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:459b2fa4911b433dd3c3c41fefa0c1fca396d4ce57fb4580c071b7d03b7a6b04
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size 2246294
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kpwr_long.py
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@@ -0,0 +1,163 @@
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# coding=utf-8
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"""KPWR version 1.27 dataset."""
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import csv
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import datasets
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_DESCRIPTION = "KPWR version 1.27 dataset. Prepared for Longformer."
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_URLS = {
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"train": "https://huggingface.co/datasets/clarin-knext/kpwr-long/resolve/main/data/train.iob",
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"valid": "https://huggingface.co/datasets/clarin-knext/kpwr-long/resolve/main/data/valid.iob",
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"test": "https://huggingface.co/datasets/clarin-knext/kpwr-long/resolve/main/data/test.iob",
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}
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_HOMEPAGE = "https://clarin-pl.eu/dspace/handle/11321/270"
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_N82_TAGS = [
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'nam_adj',
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'nam_adj_city',
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'nam_adj_country',
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'nam_adj_person',
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'nam_eve',
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'nam_eve_human',
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'nam_eve_human_cultural',
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'nam_eve_human_holiday',
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'nam_eve_human_sport',
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'nam_fac_bridge',
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'nam_fac_goe',
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'nam_fac_goe_stop',
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'nam_fac_park',
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'nam_fac_road',
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'nam_fac_square',
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'nam_fac_system',
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'nam_liv_animal',
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'nam_liv_character',
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'nam_liv_god',
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'nam_liv_habitant',
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'nam_liv_person',
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'nam_loc',
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'nam_loc_astronomical',
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'nam_loc_country_region',
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'nam_loc_gpe_admin1',
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'nam_loc_gpe_admin2',
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'nam_loc_gpe_admin3',
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'nam_loc_gpe_city',
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'nam_loc_gpe_conurbation',
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'nam_loc_gpe_country',
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'nam_loc_gpe_district',
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'nam_loc_gpe_subdivision',
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'nam_loc_historical_region',
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'nam_loc_hydronym',
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'nam_loc_hydronym_lake',
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'nam_loc_hydronym_ocean',
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'nam_loc_hydronym_river',
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'nam_loc_hydronym_sea',
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'nam_loc_land',
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'nam_loc_land_continent',
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'nam_loc_land_island',
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'nam_loc_land_mountain',
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'nam_loc_land_peak',
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'nam_loc_land_region',
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'nam_num_house',
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'nam_num_phone',
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'nam_org_company',
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'nam_org_group',
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'nam_org_group_band',
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'nam_org_group_team',
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'nam_org_institution',
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'nam_org_nation',
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'nam_org_organization',
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'nam_org_organization_sub',
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'nam_org_political_party',
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'nam_oth',
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'nam_oth_currency',
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'nam_oth_data_format',
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'nam_oth_license',
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'nam_oth_position',
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'nam_oth_tech',
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'nam_oth_www',
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'nam_pro',
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'nam_pro_award',
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'nam_pro_brand',
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'nam_pro_media',
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'nam_pro_media_periodic',
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'nam_pro_media_radio',
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'nam_pro_media_tv',
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'nam_pro_media_web',
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'nam_pro_model_car',
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'nam_pro_software',
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'nam_pro_software_game',
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'nam_pro_title',
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'nam_pro_title_album',
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'nam_pro_title_article',
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'nam_pro_title_book',
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'nam_pro_title_document',
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'nam_pro_title_song',
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'nam_pro_title_treaty',
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'nam_pro_title_tv',
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'nam_pro_vehicle'
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]
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_NER_IOB_TAGS = ['O']
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for tag in _N82_TAGS:
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_NER_IOB_TAGS.extend([f'B-{tag}', f'I-{tag}'])
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class KpwrDataset(datasets.GeneratorBasedBuilder):
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def _info(self) -> datasets.DatasetInfo:
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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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"tokens": datasets.Sequence(datasets.Value('string')),
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"lemmas": datasets.Sequence(datasets.Value('string')),
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"mstags": datasets.Sequence(datasets.Value('string')),
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"ner": datasets.Sequence(datasets.features.ClassLabel(names=_NER_IOB_TAGS))
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}
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),
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homepage=_HOMEPAGE
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager):
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downloaded_files = dl_manager.download_and_extract(_URLS)
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepath': downloaded_files['train']}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={'filepath': downloaded_files['valid']}),
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datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={'filepath': downloaded_files['test']})
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]
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def _generate_examples(self, filepath: str):
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with open(filepath, 'r', encoding='utf-8') as fin:
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reader = csv.reader(fin, delimiter='\t', quoting=csv.QUOTE_NONE)
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tokens = []
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lemmas = []
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mstags = []
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ner = []
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gid = 0
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for line in reader:
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if not line:
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yield gid, {
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"tokens": tokens,
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"lemmas": lemmas,
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"mstags": mstags,
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"ner": ner
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}
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gid += 1
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tokens = []
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lemmas = []
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mstags = []
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ner = []
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elif len(line) == 1: # ignore --DOCSTART lines
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continue
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else:
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tokens.append(line[0])
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lemmas.append(line[1])
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mstags.append(line[2])
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ner.append(line[3])
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