datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PersonalizationV3PersonalizationV4PG-Personalization-Amazon2023personalization-reddit
personalization-reddit
Per-subreddit (query, preferred_answer) pairs mined from Reddit using an
OP-thanks-reply heuristic: when the original poster (OP) replies to a
comment with thanks/gratitude, that parent comment is treated as their
preferred answer to their own question.
Source
Raw post + comment dumps from the
arctic_shift Pushshift
mirror, fetched per-subreddit (entire history through the fetch date) and
extracted with the pipeline in… See the full description on the dataset page: https://huggingface.co/datasets/dipikakhullar/personalization-reddit.PersonalizationV3personalization-reddit-user-histories
personalization-reddit-user-histories
Per-user chronological histories of answered questions across all
subreddits. Derived from dipikakhullar/personalization-reddit: every
(query, preferred_answer) pair a user authored as OP, grouped by user and
sorted by time, slimmed to the four fields needed to model a user's timeline.
Each record is one user. Users with a single interaction are dropped (a
timeline needs more than one point).
Selection: seen-the-top… See the full description on the dataset page: https://huggingface.co/datasets/dipikakhullar/personalization-reddit-user-histories.pact-culture-personalization
PACT: Personal-Preference and Cultural-Norm Trade-off
This dataset accompanies Whose Norms? Disentangling Cultural and Personal Alignment in Large Language Models.
Hugging Face repository: Angana192/pact-culture-personalization
PACT contains social scenarios where a cultural expectation and an actor's personal preference are both plausible but may conflict. This release contains only the benchmark scenario instances: no model outputs, no model results, no trace-analysis tables… See the full description on the dataset page: https://huggingface.co/datasets/MichiganNLP/pact-culture-personalization.PersonalizationV3PersonalizationPersonalization_Databasefiltered_personalization_prompt_responsesynth-persona-vectors
Persona Vectors
Mean activation vectors extracted from synthetic persona prompts.
This card is generated from the parquet files currently uploaded to the Hub.
Counts exclude the baseline_assistant row.
Available Vectors
Model
Config
Variants
Question set
QA filter
google/gemma-2-9b-it
google__gemma-2-9b-it__answer_mean
biography: 100 personas, 50 QA/persona; templated: 1000 personas, 50 QA/persona
train_test_split(n_train=50)
all
google/gemma-3-27b-it… See the full description on the dataset page: https://huggingface.co/datasets/implicit-personalization/synth-persona-vectors.PersonalizationV2personalization-reddit-multiturn
personalization-reddit-multiturn
Multi-turn (question, preferred_answer, full_conversation) records mined
from Reddit. Companion to dipikakhullar/personalization-reddit: same
OP-thanks-reply heuristic for identifying the preferred answerer, but
this dataset additionally captures any contiguous back-and-forth between
the OP and that single answerer after the thanks.
A record is only emitted when there is at least one further turn beyond
the OP's thanks reply.
Splits… See the full description on the dataset page: https://huggingface.co/datasets/dipikakhullar/personalization-reddit-multiturn.enron_personalization_test
Dataset Card for "enron_personalization_test"
More Information needed
political_personalization_itLexicon of words for investigating the political personalization phenomenon in Italian language
List of 3,303 personalizing words in Italian language, annotated with the corresponding sentiment classification as referred to political offices.
Words are group by category: Moral and behavioral, Physical, Social and economic.
Citation info and BibTeX entry
@article{Brugnoli2025comb,
author = {Emanuele Brugnoli and Rosaria Simone and Marco Delmastro},
title ={Combining Natural Language Processing… See the full description on the dataset page: https://huggingface.co/datasets/brema76/political_personalization_it.personalization_prompt_response_euruspersonalization-evalpersonalization_promptresponsepersonalization-agentic-rag-10docs-generationsTaeseo06-personalization-datasetpersonalization_prompt_responsepersonalization_prompt_response_oasst_pythia_1bpersonalization-state-mini-experiment
Personalization State: Маленький экспериментальный датасет для формата промпта с интеграцией памяти и рекурсивности контекста
Разработано: Altterra
Лицензия: apache-2.0
Язык: ru
НЕ РЕКОМЕНДУЕТСЯ ДЛЯ ИСПОЛЬЗОВАНИЯ
Формат промпта:
# Input
<ShortTermMemory>
<VisualRepresentation>
[Визуальная информация и/или JSON-описание окружения]
</VisualRepresentation>
<PhonologicalRepresentation>
<External>
[Слова и фразы, поступающие из окружающего мира]… See the full description on the dataset page: https://huggingface.co/datasets/Altterra/personalization-state-mini-experiment.mapo-dog-personalizationpersonalization-agentic-rag-5docs-generationspersonalization_promptsenron_personalization_dev
Dataset Card for "enron_personalization_dev"
More Information needed
enron_personalization_dev_uncapped
Enron Personalization — Dev (Uncapped)
DescriptionPer-user Enron email text with original case & punctuation, no word cap.Each user’s data is split 50/50 by sentence order into train and validation.
Users: 45
Split policy: first half of a user's sentences → train, second half → validation
Casing/punctuation: preserved
Build time: 2026-01-18 21:09 UTC
Columns
text: string (one sentence per row)
employee_id: string (derived from filename)
Notes
This dataset replaces the earlier… See the full description on the dataset page: https://huggingface.co/datasets/figmtu/enron_personalization_dev_uncapped.agentbank_personas
AgentBank Personas
This repository contains 1000 personas from the AgentBank dataset of Park et al. 2024, converted to CSV from the StanfordHCI/genagents dataset.