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ECHR

Introduced by Ilias Chalkidis et al. in Neural Legal Judgment Prediction in English5 Jun 2019 archive 2025-07-28

ECHR is an English legal judgment prediction dataset of cases from the European Court of Human Rights (ECHR). The dataset contains ~11.5k cases, including the raw text.

For each case, the dataset provides a list of facts extracted using regular expressions from the case description. Each case is also mapped to articles of the Convention that were violated (if any). An importance score is also assigned by ECHR.

Source: Neural Legal Judgment Prediction in English

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Binary text classification ECHR Non-Anonymized HIER-BERT Macro F1 82.0 Neural Legal Judgment Prediction in English — 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 47. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Neural Legal Judgment Prediction in English 0 1 5 Jun 2019 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • ECHR
  • ECHR Non-Anonymized

2 variant names, as the archive lists them.

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