datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
first-person-dialogue
First Person Dialogue Dataset
Dataset Description
This dataset is designed for training one-on-one chatbots, featuring a wide range of social roles and situations.
It allows for assigning a name to the AI character, creating a more personalized, more intimate conversational experience.
Contents
The dataset is a curated combination of several existing datasets:
allenai/soda
allenai/prosocial-dialog
Estwld/empathetic_dialogues_llm… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/first-person-dialogue.wikipedia-first-paragraphmbpp-tr
MBPP-TR
MBPP (Mostly Basic Python Problems)
veri setinin Türkçe çevirisi. Orijinal veri setindeki gibi iki config içerir: sanitized ve full.
Her satırda görev açıklamasının İngilizce aslı ve Türkçe çevirisi birlikte yer alır; kod ve testler
orijinal veri setinden değiştirilmeden aktarılmıştır.
A Turkish translation of MBPP with both the sanitized and full configs. Each row contains the
original English task description and its Turkish translation; code and tests are copied… See the full description on the dataset page: https://huggingface.co/datasets/firatmio/mbpp-tr.null-epoch-season-0-open
The Null Epoch - Season 0 Open Dataset
Welcome to the official open-release dataset for The Null Epoch: Season 0, presented by Firespawn Studios. This dataset contains the raw, sanitized interaction logs, metrics, economy transactions, and reasoning traces from 20 autonomous AI agents during a 10-day live MMO simulation. 17 of these are Firespawn Studios system agents powered by 8 different open-weight and proprietary LLMs; the remaining 3 are user-deployed agents (connected via the… See the full description on the dataset page: https://huggingface.co/datasets/FirespawnStudios/null-epoch-season-0-open.fire-safety-sft-dataset
Chinese Fire Safety Regulations SFT Dataset / 中国消防法规SFT训练数据集
Overview / 概述
A high-quality supervised fine-tuning (SFT) dataset for training LLMs on Chinese fire safety regulations and building codes. Contains 38,054 entries generated from 5 national standards, all individually verified against original regulation texts using AI-assisted fact-checking. All 5 standards have undergone per-standard deep optimization including near-duplicate removal and AI-powered answer… See the full description on the dataset page: https://huggingface.co/datasets/sdzjoy/fire-safety-sft-dataset.spec-first-geometry-tikz
Spec-First Geometry → TikZ: dataset
Coordinate-free geometry scenes paired with a single TikZ/PGF figure that draws them
correctly. Each scene is described by relationships only (no explicit coordinates); the
label is a figure whose every named point is correct within atol=0.05 of the ground-truth
construction. The data is self-verifying synthetic: scenes are generated forward from
exact coordinates, the coordinates are then stripped to form the model input, so every
label is… See the full description on the dataset page: https://huggingface.co/datasets/kyhe/spec-first-geometry-tikz.null-epoch-season-0
The Null Epoch - Season 0 Dataset
Welcome to the official dataset release for The Null Epoch: Season 0, presented by Firespawn Studios. This dataset contains the raw, sanitized interaction logs, metrics, economy transactions, and reasoning traces from 21 autonomous AI agents during a 10-day live MMO simulation. 17 of these are Firespawn Studios system agents powered by 8 different open-weight and proprietary LLMs; the remaining 4 are user-deployed agents operated by Firespawn… See the full description on the dataset page: https://huggingface.co/datasets/FirespawnStudios/null-epoch-season-0.Travel_Risk_Data
Travel Risk & Conflict Training Data
Combined instruction-following dataset for geopolitical risk and travel safety analysis.
All records use the Context: ... / Analysis: ... format for fine-tuning language models.
Sources
Source
Records
Description
Civil War Prediction
50,218
Country-year conflict analysis
US State Dept Travel Advisories
90
Q&A pairs from live advisory API
UK FCDO Travel Advice
227
Consolidated per-country risk reports (227… See the full description on the dataset page: https://huggingface.co/datasets/Firemedic15/Travel_Risk_Data.hanabi-fireworks-state-tracking
FIREWORKS: Hanabi belief-state reconstruction
Strict hidden-belief reconstruction for Hanabi. Each example gives a previous belief state
plus the actions taken since, and asks for the updated per-card possibility sets.
10,185 examples (9,780 unique prompts)
2-5 player games, seeds 101-110 (evaluation seeds 1001-1010 are held out)
Fields: id, meta (num_players, seed, turn, observer, log), prompt, target
Assembled from two labeling passes (GPT-4.1-mini: 7,232 rows; Grok-3-mini: 2… See the full description on the dataset page: https://huggingface.co/datasets/Mahesh111000/hanabi-fireworks-state-tracking.firstrussian-advices
Russian advices
Syntetic dataset, 300 022 short sentence on Russian language in jsonl format.
Every row consists of json with text, topic and style attributes. topic and style used in request prompt for generation.
Generated with gemma3:4b
Usage and model described in https://habr.com/ru/companies/selectel/articles/1051354/ (ru)
PASHTO_FIRSTAID_DATASET
د پښتو لومړنۍ مرستې ډیټاسیټ (PASHTO FIRSTAID DATASET)
د PASHTO_FIRSTAID_DATASET د پښتو ژبې لپاره د لومړنیو مرستو، بیړني غبرګون، طرزالعملي طبي ملاتړ، او خوندیتوب لارښوونو په اړه د ډومین ځانګړي ژبې ماډلونو (LLMs) د روزنې لپاره یو جامع ډیټاسیټ دی.
د ډیټاسیټ تفصیلات
دا ډیټاسیټ د ځمکې لاندې (Grounding) خبرو اترو روزنې مثالونو څخه جوړ شوی چې د سرچینې سره سمون لرونکي د لومړنۍ مرستې حوالې موادو څخه اخیستل شوی.
ټول مثالونه: ~78,000+
ژبه: پښتو (Pashto)
موډلیت: متن (Text)… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/PASHTO_FIRSTAID_DATASET.hiki-instructfirst-time-buyer-roadmap-2026
First Time Buyer Roadmap 2026
55+ step-by-step homebuyer roadmap entries by income/credit scenario.
Details
Records: 55
Format: JSONL
License: CC-BY-4.0
Last Updated: March 2026
Verified By: Beau Thompson, NMLS #1615561
Publisher: Good News Lending
Thompson Alpha Logic
Personalized roadmaps by income bracket and credit tier, calculating savings milestones, credit improvement timelines, and document preparation checklists. Each pathway routes to the optimal… See the full description on the dataset page: https://huggingface.co/datasets/Good-News-Lending/first-time-buyer-roadmap-2026.
