datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lord-of-mysteries-fandom-evidence-sft
Lord of Mysteries Fandom Evidence SFT Dataset
Overview
This dataset provides evidence-aware training and retrieval material for building a Chinese Lord of the Mysteries knowledge assistant.
The release is built from 425 Lord of the Mysteries Fandom Wiki pages. Source URLs, page titles, revision identifiers, and attribution metadata are preserved where available. The companion inference script can retrieve relevant source pages and attach exact source URLs before… See the full description on the dataset page: https://huggingface.co/datasets/xile42/lord-of-mysteries-fandom-evidence-sft.employee-burnout-turnover-prediction-800k
Synthetic Employee Dataset
800,000+ employee records with real-world distributions for burnout prediction, turnover analysis, and HR analytics
What You Get
This isn't just another CSV dump. You're looking at 800K+ carefully engineered employee profilesthat mirror actual workforce dynamics, complete with performance metrics, burnout indicators, skill matrices, and behavioral personas. Think of it as a production-ready HR database that never existed but feels like it… See the full description on the dataset page: https://huggingface.co/datasets/Mystic777/employee-burnout-turnover-prediction-800k.Mystery_Arena_Results
MysteryArena Results
This dataset stores public MysteryArena run summaries, match records, and compressed episode trajectories for the read-only Streamlit frontend.
The frontend reads index/runs.json first, then loads the unified matches/all_matches.jsonl.gz split. Per-run summaries and compressed trajectory files are kept for metadata and replay.
MysteryWriter
GENERATED DATA SET
This "synthetic" data set was created with the following end user in mind: mystery and crime writers who are working on their next book. This was examined from 4 different perspectives. The data consists of 6,126 questions and answer sets. The tone and approach was set using the following prompt:
Your goal is to help writers with their work, whether they are new or experienced. Word all questions in plain English and maintain a conversational tone. The depth of… See the full description on the dataset page: https://huggingface.co/datasets/theprint/MysteryWriter.blocksworld-mystery-4-qwq-reasoning-parts-explorationmysticalmandolinsmysteryblocksworld-mystery-qwq-reasoning-parts-highMYSTLYE
Erik Merkel
blocksworld-mystery-qwq-reasoning-parts-explorationblocksworld-mystery-2-qwq-reasoning-parts-explorationblocksworld-mystery-qwq-reasoning-parts-low-v3blocksworld-mystery-3-qwq-reasoning-parts-explorationmystery_blocksworld_split_v614mysts20mostlovedmegapokes