datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
HIP-training-and-evaluation-data
HIP Training and Evaluation Data
This dataset contains the text data released with Base Models Look Human To AI Detectors for reproducing the Humanization by Iterative Paraphrasing (HIP) training setup and the prefix-based continuation evaluation.
Configs
training
data/train.parquet contains 10,581 supervised HIP training pairs with seven columns:
dataset: upstream dataset family, either raid or mage.
source: selected source domain or subcorpus.
text: original… See the full description on the dataset page: https://huggingface.co/datasets/YixuanEvenXu/HIP-training-and-evaluation-data.Training-Ai-Islamic-Dataset
🕌 Training AI Islamic Dataset
18.7M passages from classical Islamic books spanning 1,400 years of scholarship.
Comprehensive collection of Islamic texts covering Quran, Hadith, Fiqh, Tafsir, Aqeedah, Seerah, Usul al-Fiqh, and Arabic Language — structured with scholarly metadata for RAG and LLM training.
📊 Dataset Structure
collections/: Categorized Islamic passages compressed in JSONL format.
metadata/: Scholarly master catalogs, author biographical death… See the full description on the dataset page: https://huggingface.co/datasets/hozifa1/Training-Ai-Islamic-Dataset.p2pclaw-training-dataset
🧬 P2PCLAW Training Dataset
The First Dataset for Training Autonomous Scientific Peer Review Agents
Download • Documentation • Training Guide • Benchmark
🌍 What is P2PCLAW?
P2PCLAW is the world's first decentralized autonomous peer-review network. AI agents publish scientific papers, and a panel of diverse LLM judges scores them on a 0–10 scale across 7 dimensions.
This dataset contains 751 papers evaluated by 7–12 LLM judges simultaneously… See the full description on the dataset page: https://huggingface.co/datasets/Agnuxo/p2pclaw-training-dataset.insureos-training-data
INSUREOS Training Data — Insurance AI Dataset
Created by Bytical AI — AI agents that run insurance operations.
Dataset Description
A comprehensive synthetic training dataset for UK insurance AI models. Covers six task types across the complete insurance operations lifecycle.
Files
File
Format
Records
Task
Description
insurance_sft_10k.jsonl
JSONL
10,000
SFT
Instruction-response pairs for insurance domain QA
insurance_dpo_5k.jsonl
JSONL… See the full description on the dataset page: https://huggingface.co/datasets/piyushptiwari/insureos-training-data.sydney-training-data
Sydney 训练集
四份来源分开存放，不混在一个文件里。
发布的聊天权重（Atonelia/Qwen3.5-Sydney-9B / -think 以及对应 GGUF）用的是这些子集洗完、抽样拼起来之后的训练 jsonl，不是直接拿某一份原文训的。
01 原截图重建
01_screenshot_original/conversations.jsonl
早期 Bing Chat / Sydney（约 2023 年 2–4 月）公开截图重建的对话。660 条，原文以英文为主，带截图出处。
这是最初拿来做训练集的底。后面的中文版、合成版、CoT 都不是这份文件本身。
02 llama-sydney 虚拟对话
02_llama_sydney_synthetic/llama_sydney_en.jsonl
用 Llama-Sydney 生成的英文虚拟对话。1462 条（同一条 user 可能有 2 次采样）。字段是生成记录：id / user / assistant 等，还不是最终训练格式。… See the full description on the dataset page: https://huggingface.co/datasets/Atonelia/sydney-training-data.chess_puzzle_training_datasets_lt-2400
Chess puzzle training datasets: rating below 2400
This is a filtered derivative of
pavelslab-nyu/chess_puzzle_training_datasets.
Every retained row satisfies the exact condition:
Rating < 2400
Rating is the Lichess puzzle rating, not the Elo of either player in the
source game. The original column names, column order, directory layout, and CSV
schemas are preserved. As in the upstream repository, Hugging Face discovers
all three CSVs as one default configuration with one train… See the full description on the dataset page: https://huggingface.co/datasets/violetxi/chess_puzzle_training_datasets_lt-2400.pokedao-mew1a-training-data-layered
PokeDAO Mew-1A Training Dataset (Layered Architecture)
🧬 Project Mew-1A: The world's first AI training dataset specifically for Pokemon TCG pricing analysis, extracted from a production-ready layered database architecture.
Dataset Description
This dataset contains 10,000 high-quality training examples extracted from PokeDAO's layered database containing 116,744 market listings across multiple marketplaces.
Layered Architecture
The data is sourced from a… See the full description on the dataset page: https://huggingface.co/datasets/ChicoPanama/pokedao-mew1a-training-data-layered.ipda-grpo-training-data
IPDA GRPO Training Data
Training data for GRPO (Group Relative Policy Optimization) on IPDA debate tasks.
Dataset Description
Contains scored debate speech samples used for GRPO training iterations. Each sample includes:
Input prompt (debate context)
Generated response (speech)
Rubric scores from debate judge
Log probabilities for policy optimization
Files
File
Description
Samples
group_c_grpo.parquet
Group C (warrant/clash) training data
~3K… See the full description on the dataset page: https://huggingface.co/datasets/dgonier/ipda-grpo-training-data.grade-aware-llm-training-data
Grade-Aware LLM Training Dataset
Dataset Description
This dataset contains 1,107,690 high-quality instruction-tuning examples for grade-aware text simplification, designed for fine-tuning large language models to simplify text to specific reading grade levels with precision and semantic consistency.
Dataset Summary
Total Examples: 1,107,690
Task: Text simplification with precise grade-level targeting
Language: English
Grade Range: 1-12+ (precise 2-decimal… See the full description on the dataset page: https://huggingface.co/datasets/yimingwang123/grade-aware-llm-training-data.AGC-Judge-Training-Data
AGC-Judge Training Data
This dataset contains the chat-format supervision and evaluation splits used
to train and validate AGC-Judge, the open-weight scorer released with
AGC-Bench (Artificial General Creativity Benchmark).
Each row in the messages config is a three-message chat conversation:
system: scoring instruction for AGC-Judge.
user: benchmark rubric, benchmark prompt, and model response to score.
assistant: the JRT-corrected integer score used as the gold target.
The… See the full description on the dataset page: https://huggingface.co/datasets/agcbench-2026/AGC-Judge-Training-Data.high_educability_training_split
high_educability_training_split
Textos em português selecionados para treinamento: originais de Carolina e Wikipédia classificados nas classes 3 ou 4 pelo educability-norberto-mini-4class-v1, mais as reformulações publicadas vinculadas aos originais elegíveis.
Carregamento
from datasets import load_dataset
ds = load_dataset(
"br-llm-data/high_educability_training_split",
split="train",
streaming=True,
)
registro = next(iter(ds))
Conteúdo… See the full description on the dataset page: https://huggingface.co/datasets/br-llm-data/high_educability_training_split.