---
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](https://uhri.ohchr.org) (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

```python
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/](https://lszoszk.github.io/UnitedNations_recommendations/)**

Features: boolean + wildcard + FTS5 stemmed search, per-country profiles, hex map, timeline analytics, SDG mapping.

## Citation

```bibtex
@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](https://uhri.ohchr.org/en/our-data-api)**.  
> ⚠️ The OHCHR data policy may change. Always consult the current terms at [uhri.ohchr.org/en/our-data-api](https://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](https://creativecommons.org/licenses/by-nc/4.0/) — free for research and education, commercial use requires permission.