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README.md
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| 1 |
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---
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| 2 |
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language:
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- en
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license: cc-by-4.0
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task_categories:
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- text-classification
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- text-retrieval
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tags:
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- human-rights
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- united-nations
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- ohchr
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- uhri
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- treaty-bodies
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- upr
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- special-procedures
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- recommendations
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- international-law
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pretty_name: UN Human Rights Recommendations (UHRI+)
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size_categories:
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- 100K<n<1M
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dataset_info:
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features:
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- name: annotation_id
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dtype: string
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- name: symbol
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dtype: string
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- name: body
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dtype: string
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- name: publication_date
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dtype: string
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- name: publication_year
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dtype: int64
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- name: annotation_type
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dtype: string
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- name: countries
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sequence: string
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- name: regions
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sequence: string
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- name: affected_persons
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sequence: string
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- name: themes
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sequence: string
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- name: sdgs
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sequence: string
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- name: text_original
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dtype: string
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- name: text_cleaned
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dtype: string
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- name: citation
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dtype: string
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splits:
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- name: train
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num_examples: 267671
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---
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# UN Human Rights Recommendations (UHRI+)
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A cleaned and normalized dataset of **267,671 country-specific human rights observations and recommendations** from three UN mechanisms, covering 2006–2026.
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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.
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## Coverage
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| Mechanism | Records | Bodies |
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|---|---|---|
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| Universal Periodic Review (UPR) | 127,625 | 1 |
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| Treaty Bodies | ~103,000 | 12 (CCPR, CAT, CERD, CEDAW, CRC, CESCR, CMW, CRPD, CED, SPT, CRC-OP-AC, CRC-OP-SC) |
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| Special Procedures (SR, IE, WG) | ~37,000 | 57 |
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**198 state parties** covered, including Cook Islands, Niue (non-UN-member states), State of Palestine\*, Holy See (UN observer states), and Kosovo\* (contested status).
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## Cleaning pipeline (5 stages)
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| Stage | Issue | Records affected |
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|---|---|---|
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| 1 | OCR/encoding artefacts (ligatures, spacing, smart quotes) | ~8,000 |
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| 2 | Structural normalisation (section headings, paragraph markers) | ~3,500 |
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| 3 | Deduplication of near-identical records | ~1,200 |
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| 4 | Country backfill from UN document symbol | 106 |
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| 5 | Body name normalisation (78 → 70 unique bodies) | 1,481 |
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The `text_cleaned` field reflects all five stages. `text_original` preserves the raw OHCHR export text.
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## Schema
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| Field | Type | Description |
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|---|---|---|
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| `annotation_id` | string | OHCHR UUID |
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| `symbol` | string | UN document symbol (e.g. `CEDAW/C/ALB/CO/4`) |
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| `body` | string | Issuing body short code (e.g. `CEDAW`, `UPR`, `SR Torture`) |
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| `publication_date` | string | ISO date (YYYY-MM-DD) |
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| `publication_year` | int | Year for fast filtering |
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| `annotation_type` | string | `Recommendations` or `Concerns/Observations` |
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| `countries` | list[str] | Target countries (full names) |
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| `regions` | list[str] | UN M49 regions |
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| `affected_persons` | list[str] | OHCHR affected-person categories |
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| `themes` | list[str] | OHCHR thematic categories |
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| `sdgs` | list[str] | SDG tags |
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| `text_original` | string | Raw OHCHR export text |
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| `text_cleaned` | string | Text after 5-stage cleaning pipeline |
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| `citation` | string | Formatted citation |
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## Quick start
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```python
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from datasets import load_dataset
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ds = load_dataset("lszoszk/uhri-recommendations")
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# Filter by country
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poland = ds["train"].filter(lambda x: "Poland" in x["countries"])
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# Filter by mechanism
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upr = ds["train"].filter(lambda x: x["body"] == "UPR")
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# Search recommendations
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torture = ds["train"].filter(lambda x: "torture" in x["text_cleaned"].lower())
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```
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## Live dashboard
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An interactive search and analytics dashboard built on this dataset:
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**[https://lszoszk.github.io/UnitedNations_recommendations/](https://lszoszk.github.io/UnitedNations_recommendations/)**
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Features: boolean + wildcard + FTS5 stemmed search, per-country profiles, hex map, timeline analytics, SDG mapping.
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## Citation
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```bibtex
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@dataset{szoszkiewicz2026uhri,
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author = {Szoszkiewicz, Lukasz},
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title = {UN Human Rights Recommendations (UHRI+)},
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year = {2026},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/lszoszk/uhri-recommendations},
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note = {Cleaned dataset built on OHCHR Universal Human Rights Index, 2006--2026}
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}
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```
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## Licence
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Dataset content © OHCHR, released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
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Cleaning pipeline and metadata additions © L. Szoszkiewicz (Adam Mickiewicz University, Poznań).
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