README.md

metadata

language:
  - uk
license:
  - cc-by-nc-sa-4.0
size_categories:
  - 1K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - topic-classification
pretty_name: UA-L Topics Corpus
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': inshe
            '1': ekologiya
            '2': ziemielnie_pravo
            '3': reklama
            '4': bankivska_diialnist
            '5': prava_spozhivachiv
            '6': medicina
            '7': spadkove_pravo
            '8': immighratsiia_iemighratsiia
            '9': intieliektualna_vlasnist
            '10': gospodarskie_pravo
            '11': pidpriemnicka_dialnist
            '12': opodatkuvannia
            '13': piensiiata_sotsialni_viplati
            '14': viiskovie_pravo
            '15': sudova_praktika
            '16': kriminalnie_pravo
            '17': gromadianski_pravovidnosini
            '18': strakhuvannya
            '19': pratsevlashtuvvannya
            '20': sotsialnyj_zakhist
            '21': vighotovliennia_produktsiyi_ta_nadannia_poslugh
            '22': litsienzuvannia
            '23': reyestraciya_likvidaciya_bankrutstvo
            '24': doghovirni_vidnosini
            '25': administrativnie_pravo
            '26': nierukhomist
            '27': prava_vnutrishno_pieriemishchienikh_osib
            '28': investitsii
            '29': notarialni_pytanniia
            '30': avtovlasnykam
            '31': zhitlovi_pravovidnosini
            '32': dovircha_vlastnist
            '33': dierzhavni_zakupivli
            '34': simejne_pravo
            '35': mytne_pravo
            '36': mizhnarodni_pravovidnosini
            '37': korporativnie_pravo
            '38': tsivilne_pravo
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.jsonl
      - split: test
        path: data/test.jsonl
train-eval-index:
  - config: default
    task: text-classification
    task_id: multi_class_classification
    splits:
      train_split: train
      eval_split: test
    col_mapping:
      text: text
      label: target
    metrics:
      - type: accuracy
        name: Accuracy
      - type: f1
        name: F1 macro
        args:
          average: macro
      - type: f1
        name: F1 micro
        args:
          average: micro
      - type: f1
        name: F1 weighted
        args:
          average: weighted
      - type: precision
        name: Precision macro
        args:
          average: macro
      - type: precision
        name: Precision micro
        args:
          average: micro
      - type: precision
        name: Precision weighted
        args:
          average: weighted
      - type: recall
        name: Recall macro
        args:
          average: macro
      - type: recall
        name: Recall micro
        args:
          average: micro
      - type: recall
        name: Recall weighted
        args:
          average: weighted

ual-topics

This dataset contains texts from https://ua-lawyer.com project. The texts contains questions and their labels (a category of law) in Ukrainian.

Install

uv venv --python 3.12

source .venv/bin/activate

uv pip install -r requirements.txt

# in development mode
uv pip install -r requirements-dev.txt