language:
- en
license: cc-by-nc-4.0
license_details: >-
Source data (OHCHR UHRI) is shared freely and without restriction per
https://uhri.ohchr.org/en/our-data-api. This derived dataset (cleaning
pipeline, normalisation, metadata) is released under CC BY-NC 4.0.
task_categories:
- text-classification
- text-retrieval
tags:
- human-rights
- united-nations
- ohchr
- uhri
- treaty-bodies
- upr
- special-procedures
- recommendations
- international-law
pretty_name: UN Human Rights Recommendations (UHRI+)
size_categories:
- 100K<n<1M
dataset_info:
features:
- name: annotation_id
dtype: string
- name: symbol
dtype: string
- name: body
dtype: string
- name: publication_date
dtype: string
- name: publication_year
dtype: int64
- name: annotation_type
dtype: string
- name: countries
sequence: string
- name: regions
sequence: string
- name: affected_persons
sequence: string
- name: themes
sequence: string
- name: sdgs
sequence: string
- name: text_original
dtype: string
- name: text_cleaned
dtype: string
- name: citation
dtype: string
splits:
- name: train
num_examples: 267671
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 | ~103,000 | 12 (CCPR, CAT, CERD, CEDAW, CRC, CESCR, CMW, CRPD, CED, SPT, CRC-OP-AC, CRC-OP-SC) |
| Special Procedures (SR, IE, WG) | ~37,000 | 57 |
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)
| Stage | Issue | Records affected |
|---|---|---|
| 1 | OCR/encoding artefacts (ligatures, spacing, smart quotes) | ~8,000 |
| 2 | Structural normalisation (section headings, paragraph markers) | ~3,500 |
| 3 | Deduplication of near-identical records | ~1,200 |
| 4 | Country backfill from UN document symbol | 106 |
| 5 | Body name normalisation (78 → 70 unique bodies) | 1,481 |
The text_cleaned field reflects all five stages. text_original preserves the raw OHCHR export text.
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.