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echr-annotated

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echr
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metadata 
license: mit
task_categories:
  - text-classification
  - structure-prediction
language:
  - en
tags:
  - legal
  - echr
  - annotated-corpus
size_categories:
  - n<1K

ECHR Annotated Corpus

A corpus of 289 European Court of Human Rights judgments (English) with hierarchical structural annotations produced via an AI-assisted 4-task pipeline.

Contents

Each case includes:

File Description
meta.json Case metadata: docname, date, respondent, doctype, ECLI, importance
paragraphs.json Raw paragraphs extracted from HUDOC HTML
html.html Original HUDOC HTML
state.json Annotation state and per-task costs
task1/ L1 heading detection (suggestions, decisions, final)
task2/ Quote and numbered-paragraph detection
task3/ Sub-heading classification
task4/ 5-segment mapping (preamble, facts, law, conclusion, post-conclusion)

The annotation pipeline produces a unified hierarchy:

segments[] → headings[] (L1-L5) → numbered paragraphs[] → quotes[]

Task internals are preserved for reproducibility — anyone can rebuild the final hierarchy or re-run downstream analysis.

Annotation methodology

  1. L1 heading detection — regex + AI for canonical sections (INTRODUCTION, THE FACTS, THE LAW, FOR THESE REASONS, etc.)
  2. Quote detection — numbered-paragraph spine + between-spine classification
  3. Sub-heading classification — Claude Haiku assigns L2-L6 levels per L1
  4. Segment mapping — deterministic 5-segment mapping from L1 headings

Each task has explicit suggestions (AI/deterministic) → decisions (human review) → final (committed) provenance.

Loading the dataset 

git clone <project-repo> echr-project
cd echr-project
pip install -r requirements.txt

# Pull the corpus from HuggingFace
python scripts/bootstrap.py

# Tell the apps where to read from
export ECHR_DATA_DIR=$(pwd)/data

# Start the viewer
cd experiments/viewer && python server.py
# Open http://127.0.0.1:5092

Schema

meta.json 

{
  "itemid": "001-249367",
  "docname": "CASE OF MAKKI v. DENMARK",
  "judgementdate": "2025-12-15",
  "respondent": "DNK",
  "doctypebranch": "CHAMBER",
  "importance": "2",
  "ecli": "ECLI:CE:ECHR:2025:1215JUD003161818"
}

paragraphs.json

Array of paragraph objects:

[
  {"index": 0, "tag": "p", "text": "...", "char_count": 134},
  ...
]

task<N>/final.json

Task-specific schemas. See the project repository for details.

Source

Judgments retrieved from HUDOC — the official ECHR case-law database. Original judgment texts are public-domain works of the European Court of Human Rights.

License

MIT — annotations and processing code. ECHR judgments themselves are public-domain works of the European Court of Human Rights.

Acknowledgements

Annotation produced via a Claude-assisted pipeline (Anthropic) with human review.