---
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

```text
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
```