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UN Human Rights Recommendations (UHRI+)
A cleaned and normalized dataset of 267,671 country-specific human rights observations and recommendations from three UN mechanisms, covering 2006–2026.
Built on the OHCHR Universal Human Rights Index (UHRI) — the authoritative UN source — with systematic data quality improvements applied on top.
Coverage
| Mechanism | Records | Bodies |
|---|---|---|
| Universal Periodic Review (UPR) | 127,625 | 1 |
| Treaty Bodies | 119,532 | 12 (CCPR, CAT, CERD, CEDAW, CRC, CESCR, CMW, CRPD, CED, SPT, CRC-OP-AC, CRC-OP-SC) |
| Special Procedures (SR, IE, WG) | 20,514 | 57 |
Totals are exact counts over this dataset's body field (127,625 + 119,532 + 20,514 = 267,671) and can be reproduced with collections.Counter(ds["train"]["body"]).
198 state parties covered, including Cook Islands, Niue (non-UN-member states), State of Palestine*, Holy See (UN observer states), and Kosovo* (contested status).
Cleaning pipeline (5 stages)
The canonical pipeline description (with full detail and examples) lives on the dashboard's Methodology page. Summary:
| Stage | What it does | Scale |
|---|---|---|
| 1 | Rule-based OCR & HTML repair (no AI): stray tags, mid-word OCR splits (develop- ment → development), whitespace, broken citations |
Stages 1–4 together edited ~56,000 records (≈21 % of the dataset) |
| 2 | LLM-assisted residue review for hard OCR corruption (bounded prompt, structural validation) | 412 records (0.15 %) |
| 3 | Deterministic annotation_type normalisation (multilingual regex classifier, audit-tagged) |
2,603 of ~3,294 missing/UUID-coded types re-labelled |
| 4 | Country backfill from the UN document symbol (CEDAW/C/ALB/CO/4 → Albania) |
106 records |
| 5 | Artefact drop — rows with no citable content (empty placeholders, duplicate annotation IDs, HTML-only scaffolding) | 11 rows (267,682 → 267,671) |
text_cleaned reflects Stages 1–2 (text repair); Stages 3–5 act on metadata and row selection. text_original preserves the raw OHCHR export text.
Applied data fixes (included in this parquet): body-name normalisation merged duplicate issuing-body spellings (six treaty bodies and several Special-Procedure mandates appeared under both short codes and long names upstream) and resolved 20 blank body values from their document symbols — 1,481 rows changed, 78 → 70 distinct bodies. The same fixes are folded into the live dashboard's data pipeline.
Schema
| Field | Type | Description |
|---|---|---|
annotation_id |
string | OHCHR UUID |
symbol |
string | UN document symbol (e.g. CEDAW/C/ALB/CO/4) |
body |
string | Issuing body short code (e.g. CEDAW, UPR, SR Torture) |
publication_date |
string | ISO date (YYYY-MM-DD) |
publication_year |
int | Year for fast filtering |
annotation_type |
string | Recommendations or Concerns/Observations |
countries |
list[str] | Target countries (full names) |
regions |
list[str] | UN M49 regions |
affected_persons |
list[str] | OHCHR affected-person categories |
themes |
list[str] | OHCHR thematic categories |
sdgs |
list[str] | SDG tags |
text_original |
string | Raw OHCHR export text |
text_cleaned |
string | Text after 5-stage cleaning pipeline |
citation |
string | Formatted citation |
Quick start
from datasets import load_dataset
ds = load_dataset("lszoszk/uhri-recommendations")
# Filter by country
poland = ds["train"].filter(lambda x: "Poland" in x["countries"])
# Filter by mechanism
upr = ds["train"].filter(lambda x: x["body"] == "UPR")
# Search recommendations
torture = ds["train"].filter(lambda x: "torture" in x["text_cleaned"].lower())
Live dashboard
An interactive search and analytics dashboard built on this dataset: https://lszoszk.github.io/UnitedNations_recommendations/
Features: boolean + wildcard + FTS5 stemmed search, per-country profiles, hex map, timeline analytics, SDG mapping.
Citation
@dataset{szoszkiewicz2026uhri,
author = {Szoszkiewicz, Lukasz},
title = {UN Human Rights Recommendations (UHRI+)},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/lszoszk/uhri-recommendations},
note = {Cleaned dataset built on OHCHR Universal Human Rights Index, 2006--2026}
}
Licence
Source data © OHCHR — shared freely and without restriction per the UHRI data policy.
⚠️ The OHCHR data policy may change. Always consult the current terms at uhri.ohchr.org/en/our-data-api before redistributing. This dataset card reflects the policy as of 2026-05-18.
Cleaning pipeline, normalisation, Stage 4 country backfill, and all metadata additions © L. Szoszkiewicz (Adam Mickiewicz University, Poznań), released under CC BY-NC 4.0 — free for research and education, commercial use requires permission.
Card changelog
- 2026-06-11 — corrected the mechanism totals (Treaty Bodies 119,532; Special Procedures 20,514 — previously listed as rough estimates that were each ~16k off) and replaced the pipeline summary with the canonical five-stage description matching the published methodology.
- 2026-05-18 — initial release.
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