language:
- pl
pretty_name: ECtHR-PL-AVA
task_categories:
- text-classification
size_categories:
- 1K<n<10K
tags:
- polish
- legal
- long-context
- document-classification
- multi-label-classification
- human-rights
- ecthr
- translated
dataset_info:
features:
- name: text
dtype: string
- name: labels
sequence:
dtype: int64
splits:
- name: train
num_examples: 7367
- name: validation
num_examples: 834
- name: test
num_examples: 819
ECtHR-PL-AVA
ECtHR-PL-AVA is a Polish long-document multi-label classification dataset derived from the publicly available ECtHR Cases dataset.
The dataset contains Polish translations of factual descriptions from cases heard by the European Court of Human Rights (ECtHR). The task is to predict the articles of the European Convention on Human Rights alleged to have been violated in a given case.
ECtHR-PL-AVA is part of the LongContext benchmark introduced with Polish ModernBERT.
Dataset statistics
| Split | Examples |
|---|---|
| Train | 7,367 |
| Validation | 834 |
| Test | 819 |
| Total | 9,020 |
The dataset contains predominantly long documents: 83.4% of test examples exceed 512 tokens, 58.6% exceed 1,024 tokens, and 23.3% exceed 2,048 tokens when tokenized with the Polish ModernBERT Base tokenizer.
Dataset construction
For each case, sentences and paragraphs describing the case facts were concatenated into a single document. Cases with factual descriptions longer than 32,000 characters were removed to exclude extreme-length outliers.
The remaining documents were translated from English into Polish using GLM-4.6, while the original dataset splits and labels were retained.
The task is evaluated using weighted F1.
Citation
If you use this dataset, please cite:
[CITATION]