datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BenchMAX_Rule-based
Dataset Sources
Paper: BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models
Link: https://huggingface.co/papers/2502.07346
Repository: https://github.com/CONE-MT/BenchMAX
Dataset Description
BenchMAX_Rule-based is a dataset of BenchMAX, sourcing from IFEval, which is a rule-based benchmark for evaluating the instruction following capabilities in multilingual scenarios.
We extend the original dataset to 16 non-English languages by first… See the full description on the dataset page: https://huggingface.co/datasets/LLaMAX/BenchMAX_Rule-based.alimony-rules-by-state-2026
Alimony Rules By State 2026
Alimony/spousal support rules for 13 states with mortgage impact.
Details
Records: 13
Format: JSONL
License: CC-BY-4.0
Last Updated: March 2026
Verified By: Wendy Thompson, CPA, CDLP, NMLS #504814
Publisher: Wendy Thompson Lending Team
Thompson Alpha Logic
State-by-state alimony duration and calculation methods mapped to mortgage qualification impact. Shows how alimony income qualifies (or disqualifies) for FHA, VA, and… See the full description on the dataset page: https://huggingface.co/datasets/Wendy-Thompson-Lending-Team/alimony-rules-by-state-2026.polish-court-rulings-sample
Polish Court Rulings — Sample (korpus-pl)
A production-grade, PII-hardened corpus of Polish court rulings — free evaluation sample.
Full corpus: 505,611 rulings · ~3.18B tokens, licensed commercially.
Contact: licensing@aioil.ai · aioil.ai
What this is
This sample contains 500 Polish court rulings drawn from the full korpus-pl dataset — a cleaned, deduplicated and PII-audited corpus of Polish jurisprudence built for AI training, evaluation and legal RAG… See the full description on the dataset page: https://huggingface.co/datasets/aioil-ai/polish-court-rulings-sample.ru-linux-sysadmin-dialogues
Russian Linux Sysadmin Dialogues (Датасет для обучения ИИ)
Высококачественный структурированный набор данных (датасет) на русском языке, содержащий профессиональные инструкции, разборы технических проблем и сценарии общения в сфере системного администрирования операционных систем семейства Linux.
Этот датасет разработан специально для тонкой настройки (fine-tuning) больших языковых моделей (LLM), обучения диалоговых агентов, умных помощников технической поддержки и наполнения… See the full description on the dataset page: https://huggingface.co/datasets/CBERX/ru-linux-sysadmin-dialogues.LS_chatlora-rules-dataset
LoRA Rules Dataset
Synthetic behavioral rules dataset for training a hypernetwork that generates
LoRA adapters on-the-fly from structured rule strings.
Format
Each record is a JSON line with fields:
rule_id — unique identifier
rule_type — one of: Constraint, Format, Knowledge, Persona, Safety, Tone
weight — float 0.0–1.0, importance of the rule
description — natural language rule description
raw — full rule string [RuleType|Weight] Description
training_examples — list of… See the full description on the dataset page: https://huggingface.co/datasets/broadfield-dev/lora-rules-dataset.lora-rules-qwen3-0.6b-r8-n180
LoRA Rules Dataset
Synthetic behavioral rules dataset for training a hypernetwork that generates
LoRA adapters on-the-fly from structured rule strings.
Format
Each record is a JSON line with fields:
rule_id — unique identifier
rule_type — one of: Constraint, Format, Knowledge, Persona, Safety, Tone
weight — float 0.0–1.0, importance of the rule
description — natural language rule description
raw — full rule string [RuleType|Weight] Description
training_examples — list of… See the full description on the dataset page: https://huggingface.co/datasets/broadfield-dev/lora-rules-qwen3-0.6b-r8-n180.pi-of-ai-rules-sft
Pi-of-AI · Rules-Baker SFT dataset
Synthetic supervised-fine-tuning data for Pi-of-AI / Rules-Baker,
generated fully locally against an OpenAI-compatible teacher (Ollama running
Qwen2.5-Coder).
Each example is a chat-format messages record. Two kinds:
positive — an ordinary coding request → rule-compliant code.
revision — rule-violating code → corrected code (teaches self-repair).
The whole trick: the teacher saw the house-style rules when writing the
target code, but the… See the full description on the dataset page: https://huggingface.co/datasets/LutzMoran/pi-of-ai-rules-sft.
