Push ECHR annotated corpus

README.md

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+---
+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
+
+```bash
+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`
+
+```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:
+
+```json
+[
+  {"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.

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