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--- |
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annotations_creators: |
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- expert-generated |
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language_creators: |
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- other |
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languages: |
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- pl |
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licenses: |
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- gpl-3.0 |
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multilinguality: |
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- monolingual |
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pretty_name: 'nkjp-pos' |
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size_categories: |
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- unknown |
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source_datasets: |
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- original |
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task_categories: |
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- structure-prediction |
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task_ids: |
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- part-of-speech-tagging |
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--- |
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# nkjp-pos |
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## Description |
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NKJP-POS is a part the National Corpus of Polish (*Narodowy Korpus Języka Polskiego*). Its objective is part-of-speech tagging, e.g. nouns, verbs, adjectives, adverbs, etc. During the creation of corpus, texts of were annotated by humans from various sources, covering many domains and genres. |
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## Tasks (input, output and metrics) |
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Part-of-speech tagging (POS tagging) - tagging words in text with their corresponding part of speech. |
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**Input** ('*tokens'* column): sequence of tokens |
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**Output** ('*pos_tags'* column): sequence of predicted tokens’ classes (35 possible classes, described in detail in the annotation guidelines) |
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***example**:* |
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[*'Zarejestruj', 'się', 'jako', 'bezrobotny', '.'*] → [*'impt', 'qub', 'conj', 'subst', 'interp'*] |
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Measurements: |
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## Data splits |
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| Subset | Cardinality (sentences) | |
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| ----------- | ----------------------: | |
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| train | 68528 | |
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| val | 8566 | |
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| test | 8566 | |
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## Class distribution in train |
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| Class | Fraction of tokens | |
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|:--------|---------------------:| |
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| subst | 0.27295 | |
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| interp | 0.18381 | |
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| adj | 0.10607 | |
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| prep | 0.09533 | |
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| qub | 0.05633 | |
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| fin | 0.04895 | |
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| praet | 0.04385 | |
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| conj | 0.03685 | |
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| adv | 0.03498 | |
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| inf | 0.01586 | |
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| comp | 0.01465 | |
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| num | 0.01319 | |
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| ppron3 | 0.01090 | |
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| ppas | 0.01080 | |
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| ger | 0.00967 | |
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| brev | 0.00880 | |
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| ppron12 | 0.00668 | |
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| aglt | 0.00620 | |
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| pred | 0.00536 | |
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| pact | 0.00452 | |
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| bedzie | 0.00232 | |
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| pcon | 0.00216 | |
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| impt | 0.00201 | |
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| siebie | 0.00175 | |
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| imps | 0.00172 | |
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| interj | 0.00128 | |
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| xxx | 0.00067 | |
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| winien | 0.00066 | |
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| adjp | 0.00066 | |
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| adja | 0.00048 | |
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| pant | 0.00013 | |
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| depr | 0.00010 | |
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| burk | 0.00010 | |
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| numcol | 0.00010 | |
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| adjc | 0.00007 | |
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## Citation |
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``` |
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@book{przepiorkowski_narodowy_2012, |
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title = {Narodowy korpus języka polskiego}, |
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isbn = {978-83-01-16700-4}, |
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language = {pl}, |
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publisher = {Wydawnictwo Naukowe PWN}, |
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editor = {Przepiórkowski, Adam and Bańko, Mirosław and Górski, Rafał L. and Lewandowska-Tomaszczyk, Barbara}, |
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year = {2012} |
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} |
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``` |
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## License |
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``` |
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GNU GPL v.3 |
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``` |
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## Links |
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[HuggingFace](https://huggingface.co/datasets/clarin-pl/nkjp-pos) |
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[Source](http://clip.ipipan.waw.pl/NationalCorpusOfPolish) |
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[Paper](http://nkjp.pl/settings/papers/NKJP_ksiazka.pdf) |
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## Examples |
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### Loading |
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```python |
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from pprint import pprint |
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from datasets import load_dataset |
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dataset = load_dataset("clarin-pl/nkjp-pos") |
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pprint(dataset['train'][5000]) |
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# {'full_pos_tags': ['fin:sg:ter:imperf', |
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# 'subst:sg:nom:f', |
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# 'adj:sg:nom:f:pos', |
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# 'interp'], |
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# 'lemmas': ['trwać', 'akcja', 'poszukiwawczy', '.'], |
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# 'morph': ['trwać|fin:sg:ter:imperf', |
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# 'akcja|subst:sg:nom:f', |
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# 'poszukiwawczy|adj:sg:nom:f:pos poszukiwawczy|adj:sg:voc:f:pos', |
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# '.|interp'], |
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# 'nps': ['', '', 'nps', ''], |
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# 'pos_tags': [12, 32, 0, 18], |
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# 'tokens': ['Trwa', 'akcja', 'poszukiwawcza', '.']} |
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``` |
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### Evaluation |
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```python |
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import random |
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from pprint import pprint |
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from datasets import load_dataset, load_metric |
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dataset = load_dataset("clarin-pl/nkjp-pos") |
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references = dataset["test"]["pos_tags"] |
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# generate random predictions |
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predictions = [ |
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[ |
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random.randrange(dataset["train"].features["pos_tags"].feature.num_classes) |
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for _ in range(len(labels)) |
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] |
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for labels in references |
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] |
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# transform to original names of labels |
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references_named = [ |
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[dataset["train"].features["pos_tags"].feature.names[label] for label in labels] |
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for labels in references |
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] |
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predictions_named = [ |
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[dataset["train"].features["pos_tags"].feature.names[label] for label in labels] |
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for labels in predictions |
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] |
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# transform to BILOU scheme |
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references_named = [ |
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[f"U-{label}" if label != "O" else label for label in labels] |
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for labels in references_named |
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] |
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predictions_named = [ |
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[f"U-{label}" if label != "O" else label for label in labels] |
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for labels in predictions_named |
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] |
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# utilise seqeval to evaluate |
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seqeval = load_metric("seqeval") |
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seqeval_score = seqeval.compute( |
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predictions=predictions_named, |
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references=references_named, |
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scheme="BILOU", |
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mode="strict", |
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) |
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pprint(seqeval_score, depth=1) |
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# {'adj': {...}, |
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# 'adja': {...}, |
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# 'adjc': {...}, |
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# 'adjp': {...}, |
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# 'adv': {...}, |
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# 'aglt': {...}, |
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# 'bedzie': {...}, |
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# 'brev': {...}, |
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# 'burk': {...}, |
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# 'comp': {...}, |
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# 'conj': {...}, |
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# 'depr': {...}, |
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# 'fin': {...}, |
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# 'ger': {...}, |
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# 'imps': {...}, |
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# 'impt': {...}, |
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# 'inf': {...}, |
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# 'interj': {...}, |
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# 'interp': {...}, |
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# 'num': {...}, |
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# 'numcol': {...}, |
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# 'overall_accuracy': 0.027855061488566583, |
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# 'overall_f1': 0.027855061488566583, |
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# 'overall_precision': 0.027855061488566583, |
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# 'overall_recall': 0.027855061488566583, |
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# 'pact': {...}, |
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# 'pant': {...}, |
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# 'pcon': {...}, |
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# 'ppas': {...}, |
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# 'ppron12': {...}, |
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# 'ppron3': {...}, |
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# 'praet': {...}, |
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# 'pred': {...}, |
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# 'prep': {...}, |
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# 'qub': {...}, |
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# 'siebie': {...}, |
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# 'subst': {...}, |
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# 'winien': {...}, |
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# 'xxx': {...}} |
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``` |
