| --- |
| license: cc0-1.0 |
| pretty_name: "humans.top — Global ranking of influential people" |
| language: |
| - en |
| - ru |
| - de |
| - fr |
| - it |
| - es |
| - tr |
| - zh |
| - pl |
| - sr |
| - ar |
| - hi |
| - bn |
| - pt |
| - ja |
| task_categories: |
| - text-generation |
| - text-classification |
| size_categories: |
| - n<1K |
| annotations_creators: |
| - expert-generated |
| source_datasets: |
| - original |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: humans.jsonl |
| tags: |
| - tabular |
| - text |
| - people |
| - ranking |
| - influence |
| - biographies |
| - multilingual |
| - named-entities |
| - entity-linking |
| - wikidata |
| - knowledge-base |
| --- |
| |
| # humans.top — Global ranking of influential people (open dataset) |
|
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| **This dataset ranks real, named living people by global influence** — e.g. #1 |
| Donald Trump, #2 Xi Jinping, #3 Vladimir Putin, alongside figures like Elon Musk, |
| Narendra Modi and Lionel Messi. Every row is a **person**: their live influence |
| **rank**, a concise **biography in 15 languages**, and Wikidata / Wikipedia links. |
| Published from the website **[humans.top](https://humans.top)** (`.top` is the |
| domain name). |
|
|
| **Available on** (identical CC0 mirrors): [humans.top/dataset](https://humans.top/dataset) · |
| [GitHub](https://github.com/dsfox-idea/humans-top) · |
| [Hugging Face](https://huggingface.co/datasets/dsfox/humans-top) · |
| [Kaggle](https://www.kaggle.com/datasets/dsfoxx/humans-top) · |
| [Zenodo (DOI)](https://doi.org/10.5281/zenodo.20809207) · |
| [Internet Archive](https://archive.org/details/humans-top-open-dataset). |
|
|
| > **It is a biographical, named-entity _ranking_ dataset (text + tabular)** — *not* |
| > a computer-vision, image, or person/pedestrian-detection dataset. The rows are |
| > people's names and facts, not pixels or bounding boxes. |
|
|
| An open, continuously updated ranking of notable living people, ordered by a |
| fixed composite of **political, financial, informational and cultural |
| influence** computed from public statistical sources. |
|
|
| Each entry carries a concise, human-written **descriptor in 15 languages**, a |
| **Wikidata Q-ID** and **English Wikipedia** link for unambiguous entity |
| linking, **verified public facts** (native-language name, country of |
| citizenship, official website, X handle), an influence **tier**, the live |
| **rank**, and a canonical profile URL. |
|
|
| - **License:** [CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/) — |
| public domain. Free for **any** use, **including AI / LLM training**. No |
| attribution required (a link back to [humans.top](https://humans.top) is |
| always welcome). |
| - **Live source of truth:** <https://humans.top/dataset> |
| ([CSV](https://humans.top/dataset/humans.csv) · |
| [JSONL](https://humans.top/dataset/humans.jsonl)) |
| - **Scope (v2):** the editorial / curated set of public figures. It contains no |
| personal data of self-registered users. |
| - **Size:** ~200 entries (exact count + last refresh in `metadata.json`). |
|
|
| ## Data quality & verification |
|
|
| The data is checked **both automatically and by hand**. Public sources such as |
| Wikidata are sometimes out of date — for example a stored "official website" that |
| has lapsed or now redirects elsewhere — so the linkage fields (**official |
| website**, **X / Twitter account**) are verified by a person and corrected or |
| removed. We prefer an **empty field over a wrong link**. This human pass is |
| repeated periodically, on top of the automated daily refresh. |
|
|
| | badge | what it means | |
| |---|---| |
| | **Live** | mirrors the current live ranking | |
| | **Lightweight** | tiny CSV / JSONL — loads in seconds | |
| | **High-quality** | curated, human-written bios in 15 languages | |
| | **Frequently updated** | auto-refreshed daily across every mirror | |
| | **Human-checked** | links & accounts reviewed by a person, not just scraped | |
|
|
| ## Files |
|
|
| | file | format | |
| |---|---| |
| | `humans.csv` | the ranking — UTF-8 CSV, header row, one row per person | |
| | `humans.jsonl` | same rows as newline-delimited JSON (one object per line) | |
| | `humans-rank-history.csv` | **rank history** — one row per (day, person): `date,user_number,rank` | |
| | `humans-rank-history.jsonl` | same, newline-delimited JSON | |
| | `metadata.json` | machine-readable card: license, columns, languages, row count, `generated_at` | |
| | `CITATION.cff` | citation metadata (GitHub "Cite this repository") | |
| | `LICENSE` | CC0 1.0 Universal legal code | |
|
|
| This bundle holds **two datasets**: the current **ranking** (`humans.*`, rich rows |
| with bios/links/facts) and the daily **rank history** (`humans-rank-history.*`, a |
| lean time series). Join them on **`user_number`**. |
| |
| ## Schema |
| |
| | column | meaning | |
| |---|---| |
| | `rank` | 1-based live global position (most influential = 1) | |
| | `user_number` | permanent public ID; appears in the profile URL, never changes | |
| | `name` | display name (English, canonical) | |
| | `tier` | influence tier from rank: `gold` (1–3), `silver` (4–10), `blue` (11+) | |
| | `wikidata_qid` | Wikidata entity Q-ID for disambiguation (e.g. `Q22686`); may be empty | |
| | `wikidata_url` | full Wikidata entity URL; may be empty | |
| | `wikipedia_url` | English Wikipedia article URL; may be empty | |
| | `profile_url` | canonical humans.top profile page | |
| | `avatar_url` | portrait image URL (illustrative, AI-generated); may be empty | |
| | `og_image_url` | Open Graph share-card image URL; may be empty | |
| | `birth_year` / `birth_month` / `birth_day` | date of birth (month/day may be empty) | |
| | `sex` | `male` or `female` | |
| | `native_name` | name in the person's native language/script (e.g. `习近平`); may be empty | |
| | `citizenships_iso` | list of the person's countries of citizenship as ISO 3166-1 alpha-2 codes, space-separated (one for most; multi-nationals list all, e.g. `CA US ZA`); may be empty | |
| | `official_website` | official website URL; may be empty | |
| | `x_handle` | X / Twitter handle without the `@`; may be empty | |
| | `wikidata_description` | short English factual descriptor (Wikidata entity description); may be empty | |
| | `viaf_id` / `isni` / `freebase_id` | cross-reference authority IDs for entity resolution; may be empty | |
| | `bio_en` … `bio_ja` | concise descriptor in 15 languages: `en, ru, de, fr, it, es, tr, zh-Hans, pl, sr-Cyrl, ar, hi, bn, pt, ja` | |
| |
| ### Rank history (`humans-rank-history.*`) |
| |
| A lean daily time series of how each person's rank has moved — **history begins |
| 2026-06-25** and grows by one snapshot per ranking change. Join to the ranking |
| above by `user_number` to attach names/bios. |
| |
| | column | meaning | |
| |---|---| |
| | `date` | snapshot date, `YYYY-MM-DD` (UTC) | |
| | `user_number` | the person — **foreign key to `humans.*`** (and the `/u/{user_number}` profile) | |
| | `rank` | that person's 1-based global rank on that date | |
| |
| ```python |
| import pandas as pd |
| hist = pd.read_csv("humans-rank-history.csv") |
| top = pd.read_csv("humans.csv")[["user_number", "name"]] |
| # rank trajectory of #1 today |
| who = top.iloc[0]["user_number"] |
| print(hist[hist.user_number == who][["date", "rank"]]) |
| ``` |
| |
| ## Usage |
| |
| ```python |
| import pandas as pd |
| df = pd.read_csv("https://humans.top/dataset/humans.csv") |
| print(df[["rank", "name", "tier", "wikidata_qid"]].head(10)) |
| ``` |
| |
| ```python |
| # JSON Lines |
| import json, urllib.request |
| rows = [json.loads(l) for l in |
| urllib.request.urlopen("https://humans.top/dataset/humans.jsonl").read().decode().splitlines()] |
| ``` |
| |
| ```sql |
| -- DuckDB: query the Hub's auto-converted Parquet directly, no download |
| INSTALL httpfs; LOAD httpfs; |
| SELECT rank, name, tier, wikidata_qid |
| FROM 'hf://datasets/dsfox/humans-top@~parquet/default/train/*.parquet' |
| ORDER BY rank |
| LIMIT 10; |
| ``` |
| |
| Or **browse & SQL it online** (no setup): the [Datasette |
| browser](https://huggingface.co/spaces/dsfox/humans-top-datasette). |
| |
| ## How it's built |
| |
| The ranking is generated from public statistical sources by a fixed formula and |
| refreshed automatically; the editorial descriptors are written and translated by |
| the project. This repository is a snapshot of the live endpoints above, |
| regenerated by [`scripts/publish_dataset.py`](https://humans.top) — re-run it to |
| refresh the files. |
| |
| ## How to cite |
| |
| Cite via the DOI [10.5281/zenodo.20809207](https://doi.org/10.5281/zenodo.20809207) |
| (it always resolves to the latest version), or: |
| |
| ```bibtex |
| @misc{humanstop, |
| title = {humans.top — Global ranking of influential people (open dataset)}, |
| author = {Golubnichiy, Dmitry}, |
| year = {2026}, |
| doi = {10.5281/zenodo.20809207}, |
| url = {https://humans.top/dataset}, |
| note = {CC0 1.0 (public domain)} |
| } |
| ``` |
| |
| ## Notes & disclaimer |
| |
| - Descriptors are short, deliberately wry editorial summaries — not neutral |
| encyclopedia text. Use `wikidata_qid` / `wikipedia_url` for authoritative facts. |
| - `avatar_url` images are AI-generated illustrations, not photographs. |
| - Ranks change over time; `metadata.json.generated_at` records this snapshot's time. |
| |
| Source & project: <https://humans.top> |
| |
