| --- |
| configs: |
| - config_name: Andorra |
| data_files: |
| - split: train |
| path: "data/andorra/andorra_personas.jsonl" |
| - config_name: Argentina |
| data_files: |
| - split: train |
| path: "data/argentina/argentina_personas.jsonl" |
| - config_name: Armenia |
| data_files: |
| - split: train |
| path: "data/armenia/armenia_personas.jsonl" |
| - config_name: Australia |
| data_files: |
| - split: train |
| path: "data/australia/australia_personas.jsonl" |
| - config_name: Bangladesh |
| data_files: |
| - split: train |
| path: "data/bangladesh/bangladesh_personas.jsonl" |
| - config_name: Bolivia |
| data_files: |
| - split: train |
| path: "data/bolivia/bolivia_personas.jsonl" |
| - config_name: Brazil |
| data_files: |
| - split: train |
| path: "data/brazil/brazil_personas.jsonl" |
| - config_name: Canada |
| data_files: |
| - split: train |
| path: "data/canada/canada_personas.jsonl" |
| - config_name: Chile |
| data_files: |
| - split: train |
| path: "data/chile/chile_personas.jsonl" |
| - config_name: China |
| data_files: |
| - split: train |
| path: "data/china/china_personas.jsonl" |
| - config_name: Colombia |
| data_files: |
| - split: train |
| path: "data/colombia/colombia_personas.jsonl" |
| - config_name: Cyprus |
| data_files: |
| - split: train |
| path: "data/cyprus/cyprus_personas.jsonl" |
| - config_name: Czechia |
| data_files: |
| - split: train |
| path: "data/czechia/czechia_personas.jsonl" |
| - config_name: Ecuador |
| data_files: |
| - split: train |
| path: "data/ecuador/ecuador_personas.jsonl" |
| - config_name: Egypt |
| data_files: |
| - split: train |
| path: "data/egypt/egypt_personas.jsonl" |
| - config_name: Ethiopia |
| data_files: |
| - split: train |
| path: "data/ethiopia/ethiopia_personas.jsonl" |
| - config_name: Germany |
| data_files: |
| - split: train |
| path: "data/germany/germany_personas.jsonl" |
| - config_name: Great_Britain |
| data_files: |
| - split: train |
| path: "data/great_britain/great_britain_personas.jsonl" |
| - config_name: Greece |
| data_files: |
| - split: train |
| path: "data/greece/greece_personas.jsonl" |
| - config_name: Guatemala |
| data_files: |
| - split: train |
| path: "data/guatemala/guatemala_personas.jsonl" |
| - config_name: Hong_Kong_Sar |
| data_files: |
| - split: train |
| path: "data/hong_kong_sar/hong_kong_sar_personas.jsonl" |
| - config_name: India |
| data_files: |
| - split: train |
| path: "data/india/india_personas.jsonl" |
| - config_name: Indonesia |
| data_files: |
| - split: train |
| path: "data/indonesia/indonesia_personas.jsonl" |
| - config_name: Iran |
| data_files: |
| - split: train |
| path: "data/iran/iran_personas.jsonl" |
| - config_name: Iraq |
| data_files: |
| - split: train |
| path: "data/iraq/iraq_personas.jsonl" |
| - config_name: Japan |
| data_files: |
| - split: train |
| path: "data/japan/japan_personas.jsonl" |
| - config_name: Jordan |
| data_files: |
| - split: train |
| path: "data/jordan/jordan_personas.jsonl" |
| - config_name: Kazakhstan |
| data_files: |
| - split: train |
| path: "data/kazakhstan/kazakhstan_personas.jsonl" |
| - config_name: Kenya |
| data_files: |
| - split: train |
| path: "data/kenya/kenya_personas.jsonl" |
| - config_name: Kyrgyzstan |
| data_files: |
| - split: train |
| path: "data/kyrgyzstan/kyrgyzstan_personas.jsonl" |
| - config_name: Lebanon |
| data_files: |
| - split: train |
| path: "data/lebanon/lebanon_personas.jsonl" |
| - config_name: Libya |
| data_files: |
| - split: train |
| path: "data/libya/libya_personas.jsonl" |
| - config_name: Macau_Sar |
| data_files: |
| - split: train |
| path: "data/macau_sar/macau_sar_personas.jsonl" |
| - config_name: Malaysia |
| data_files: |
| - split: train |
| path: "data/malaysia/malaysia_personas.jsonl" |
| - config_name: Maldives |
| data_files: |
| - split: train |
| path: "data/maldives/maldives_personas.jsonl" |
| - config_name: Mexico |
| data_files: |
| - split: train |
| path: "data/mexico/mexico_personas.jsonl" |
| - config_name: Mongolia |
| data_files: |
| - split: train |
| path: "data/mongolia/mongolia_personas.jsonl" |
| - config_name: Morocco |
| data_files: |
| - split: train |
| path: "data/morocco/morocco_personas.jsonl" |
| - config_name: Myanmar |
| data_files: |
| - split: train |
| path: "data/myanmar/myanmar_personas.jsonl" |
| - config_name: Netherlands |
| data_files: |
| - split: train |
| path: "data/netherlands/netherlands_personas.jsonl" |
| - config_name: New_Zealand |
| data_files: |
| - split: train |
| path: "data/new_zealand/new_zealand_personas.jsonl" |
| - config_name: Nicaragua |
| data_files: |
| - split: train |
| path: "data/nicaragua/nicaragua_personas.jsonl" |
| - config_name: Nigeria |
| data_files: |
| - split: train |
| path: "data/nigeria/nigeria_personas.jsonl" |
| - config_name: Northern_Ireland |
| data_files: |
| - split: train |
| path: "data/northern_ireland/northern_ireland_personas.jsonl" |
| - config_name: Pakistan |
| data_files: |
| - split: train |
| path: "data/pakistan/pakistan_personas.jsonl" |
| - config_name: Peru |
| data_files: |
| - split: train |
| path: "data/peru/peru_personas.jsonl" |
| - config_name: Philippines |
| data_files: |
| - split: train |
| path: "data/philippines/philippines_personas.jsonl" |
| - config_name: Puerto_Rico |
| data_files: |
| - split: train |
| path: "data/puerto_rico/puerto_rico_personas.jsonl" |
| - config_name: Romania |
| data_files: |
| - split: train |
| path: "data/romania/romania_personas.jsonl" |
| - config_name: Russia |
| data_files: |
| - split: train |
| path: "data/russia/russia_personas.jsonl" |
| - config_name: Serbia |
| data_files: |
| - split: train |
| path: "data/serbia/serbia_personas.jsonl" |
| - config_name: Singapore |
| data_files: |
| - split: train |
| path: "data/singapore/singapore_personas.jsonl" |
| - config_name: Slovakia |
| data_files: |
| - split: train |
| path: "data/slovakia/slovakia_personas.jsonl" |
| - config_name: South_Korea |
| data_files: |
| - split: train |
| path: "data/south_korea/south_korea_personas.jsonl" |
| - config_name: Taiwan_Roc |
| data_files: |
| - split: train |
| path: "data/taiwan_roc/taiwan_roc_personas.jsonl" |
| - config_name: Tajikistan |
| data_files: |
| - split: train |
| path: "data/tajikistan/tajikistan_personas.jsonl" |
| - config_name: Thailand |
| data_files: |
| - split: train |
| path: "data/thailand/thailand_personas.jsonl" |
| - config_name: Tunisia |
| data_files: |
| - split: train |
| path: "data/tunisia/tunisia_personas.jsonl" |
| - config_name: Turkey |
| data_files: |
| - split: train |
| path: "data/turkey/turkey_personas.jsonl" |
| - config_name: Ukraine |
| data_files: |
| - split: train |
| path: "data/ukraine/ukraine_personas.jsonl" |
| - config_name: United_States |
| data_files: |
| - split: train |
| path: "data/united_states/united_states_personas.jsonl" |
| - config_name: Uruguay |
| data_files: |
| - split: train |
| path: "data/uruguay/uruguay_personas.jsonl" |
| - config_name: Uzbekistan |
| data_files: |
| - split: train |
| path: "data/uzbekistan/uzbekistan_personas.jsonl" |
| - config_name: Venezuela |
| data_files: |
| - split: train |
| path: "data/venezuela/venezuela_personas.jsonl" |
| - config_name: Vietnam |
| data_files: |
| - split: train |
| path: "data/vietnam/vietnam_personas.jsonl" |
| - config_name: Zimbabwe |
| data_files: |
| - split: train |
| path: "data/zimbabwe/zimbabwe_personas.jsonl" |
|
|
| pretty_name: wvs2persona |
| language: |
| - en |
| tags: |
| - persona |
| - survey |
| - world-values-survey |
| - sociology |
| - culture |
| size_categories: |
| - 10K<n<100K |
| task_categories: |
| - text-generation |
| --- |
| |
| # WVS2Persona: Parsed World Values Survey (WVS) Wave 7 records into textual personas |
|
|
| <p align="center"> |
| <img src="wvs2persona-header.png" alt="wvs2persona dataset overview"> |
| </p> |
|
|
| ## Dataset Description |
|
|
| This dataset contains respondent-level persona descriptions derived from the **World Values Survey (WVS) Wave 7** core questionnaire. |
|
|
| Each persona corresponds to **one individual survey record**. These are **not** cluster centroids, archetypes, or synthetic group summaries. The persona text is a deterministic natural-language rendering of the respondent's answers to the **core WVS questionnaire variables only**. |
|
|
| On this repo, the dataset is organized **by country as subsets/configs**. Each subset contains a single `train` split. |
|
|
| Only the following columns are released in the Hub version: |
|
|
| - `persona_id` |
| - `persona` |
|
|
|
|
| ## Data Source |
|
|
| The underlying survey source is: |
|
|
| - **World Values Survey Wave 7** |
|
|
| The persona generation pipeline uses only the **core questionnaire** sections: |
|
|
| - Social Values, Attitudes & Stereotypes |
| - Happiness and Well-Being |
| - Social Capital, Trust & Organizational Membership |
| - Economic Values |
| - Corruption |
| - Migration |
| - Security |
| - Postmaterialist Index |
| - Science & Technology |
| - Religious Values |
| - Ethical Values and Norms |
| - Political Interest & Political Participation |
| - Political Culture & Political Regimes |
| - Demographics |
|
|
| No regional modules, contextual variables, or post-core thematic modules are used for the released personas. |
|
|
| ## Methodology |
|
|
| The methodology followed to create these personas is aligned with the approach described in the following paper: |
|
|
| **NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities** |
|
|
| - ACL Anthology: [https://aclanthology.org/2025.emnlp-main.556/](https://aclanthology.org/2025.emnlp-main.556/) |
| - Blog Post: [https://elmekki.me/blog/wvs2persona-world-values-survey-personas/](https://elmekki.me/blog/wvs2persona-world-values-survey-personas/) |
|
|
| In this dataset: |
|
|
| 1. Each WVS respondent remains a separate record. |
| 2. Only core questionnaire variables are used. |
| 3. Structured survey values are decoded into human-readable labels. |
| 4. A deterministic persona description is generated from the decoded responses. |
|
|
| A **concise / summarized persona version**, following the NileChat-style approach, will be provided in a future commit. |
|
|
| ## Dataset Structure |
|
|
| ### Fields |
|
|
| - `persona_id`: |
| Stable identifier for the persona record. |
| - `persona`: |
| A full English persona description grounded in the respondent's WVS Wave 7 core-variable responses. |
|
|
| ### Example |
|
|
| ```python |
| { |
| "persona_id": "MAR_504720001", |
| "persona": "This person lives in Morocco. She is female, was born in 1969, and is 52 years old. ..." |
| } |
| ``` |
|
|
| ## Loading the Dataset |
|
|
| ```python |
| from datasets import load_dataset |
| |
| REPO_ID = "3ebdola/wvs2persona" |
| |
| ds_morocco = load_dataset(REPO_ID, "Morocco", split="train") |
| print(ds_morocco) |
| print(ds_morocco[0]) |
| ``` |
|
|
| Another example: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| REPO_ID = "3ebdola/wvs2persona" |
| |
| ds_egypt = load_dataset(REPO_ID, "Egypt", split="train") |
| print(ds_egypt[0]["persona_id"]) |
| print(ds_egypt[0]["persona"]) |
| ``` |
|
|
| ## Subsets |
|
|
| The dataset currently includes **66 country subsets** and **97,220 personas** in total. |
|
|
| <details> |
| <summary>Subset list and row counts</summary> |
|
|
| | Subset | Rows | |
| |---|---:| |
| | Andorra | 1004 | |
| | Argentina | 1003 | |
| | Armenia | 1223 | |
| | Australia | 1813 | |
| | Bangladesh | 1200 | |
| | Bolivia | 2067 | |
| | Brazil | 1762 | |
| | Canada | 4018 | |
| | Chile | 1000 | |
| | China | 3036 | |
| | Colombia | 1520 | |
| | Cyprus | 1000 | |
| | Czechia | 1200 | |
| | Ecuador | 1200 | |
| | Egypt | 1200 | |
| | Ethiopia | 1230 | |
| | Germany | 1528 | |
| | Great Britain | 2609 | |
| | Greece | 1200 | |
| | Guatemala | 1229 | |
| | Hong Kong SAR | 2075 | |
| | India | 1692 | |
| | Indonesia | 3200 | |
| | Iran | 1499 | |
| | Iraq | 1200 | |
| | Japan | 1353 | |
| | Jordan | 1203 | |
| | Kazakhstan | 1276 | |
| | Kenya | 1266 | |
| | Kyrgyzstan | 1200 | |
| | Lebanon | 1200 | |
| | Libya | 1196 | |
| | Macau SAR | 1023 | |
| | Malaysia | 1313 | |
| | Maldives | 1039 | |
| | Mexico | 1741 | |
| | Mongolia | 1638 | |
| | Morocco | 1200 | |
| | Myanmar | 1200 | |
| | Netherlands | 2145 | |
| | New Zealand | 1057 | |
| | Nicaragua | 1200 | |
| | Nigeria | 1237 | |
| | Northern Ireland | 447 | |
| | Pakistan | 1995 | |
| | Peru | 1400 | |
| | Philippines | 1200 | |
| | Puerto Rico | 1127 | |
| | Romania | 1257 | |
| | Russia | 1810 | |
| | Serbia | 1046 | |
| | Singapore | 2012 | |
| | Slovakia | 1200 | |
| | South Korea | 1245 | |
| | Taiwan ROC | 1223 | |
| | Tajikistan | 1200 | |
| | Thailand | 1500 | |
| | Tunisia | 1208 | |
| | Turkey | 2415 | |
| | Ukraine | 1289 | |
| | United States | 2596 | |
| | Uruguay | 1000 | |
| | Uzbekistan | 1250 | |
| | Venezuela | 1190 | |
| | Vietnam | 1200 | |
| | Zimbabwe | 1215 | |
|
|
| </details> |
|
|
| ## Intended Use |
|
|
| This dataset can be useful for: |
|
|
| - persona-based prompting and conditioning |
| - culture-aware or country-aware LLM experimentation |
| - evaluation of value-sensitive or socially grounded generation |
| - retrieval and few-shot selection by country-specific persona text |
| - downstream summarization or compression of long persona descriptions |
|
|
| ## Limitations |
|
|
| - The personas are **generated textual summaries**, not verbatim respondent statements. |
| - They are grounded in survey answers, but should **not** be treated as complete biographies. |
| - The released text is in **English**, even when the original respondents come from non-English-speaking countries. |
| - Persona descriptions may reflect survey instrument limitations, response noise, or country-specific coding artifacts. |
| - Only the **core WVS variables** are used in this release. |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite the following paper: |
|
|
| ```bibtex |
| @inproceedings{el-mekki-etal-2025-nilechat, |
| title = "{N}ile{C}hat: Towards Linguistically Diverse and Culturally Aware {LLM}s for Local Communities", |
| author = "El Mekki, Abdellah and |
| Atou, Houdaifa and |
| Nacar, Omer and |
| Shehata, Shady and |
| Abdul-Mageed, Muhammad", |
| editor = "Christodoulopoulos, Christos and |
| Chakraborty, Tanmoy and |
| Rose, Carolyn and |
| Peng, Violet", |
| booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing", |
| month = nov, |
| year = "2025", |
| address = "Suzhou, China", |
| publisher = "Association for Computational Linguistics", |
| url = "https://aclanthology.org/2025.emnlp-main.556/", |
| doi = "10.18653/v1/2025.emnlp-main.556", |
| pages = "10967--10991", |
| ISBN = "979-8-89176-332-6" |
| } |
| ``` |
|
|
|
|
