datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pbt-bench
PBT-Bench: Benchmarking AI Agents on Property-Based Testing
PBT-Bench is a benchmark of 100 curated property-based testing problems across 40 Python libraries, accompanied by 4,800 evaluation trajectories from 8 contemporary LLMs.
Benchmark Overview
Each problem injects one or more semantic bugs into a real Python library. The bugs violate documented semantic invariants and are designed to be reliably detectable through Hypothesis @given property tests with carefully… See the full description on the dataset page: https://huggingface.co/datasets/pbtbench-team/pbt-bench.Korean-OpenThoughts-114k-NormalizedKorean-OpenThoughts-114k-Normalized
상세
데이터셋 설명
OpenThoughts-114k-Normalized 데이터셋의 한국어 번역본입니다.
OpenAI gpt-4o-mini를 통해 번역됐습니다.
Shared by llami-team
Language(s) (NLP): Korean
Uses
한국어 reasoning 모델 distillation
reasoning cold-start 데이터셋
Dataset Structure
question: 질문
reasoning: 추론 과정
response: 응답
Dataset Creation
[LLAMI Team] (https://llami.net)
LLAMI Github
lemon-mint
Source Data
OpenThoughts-114k-Normalized
galtea-red-teaming-clustered-data
Galtea Red Teaming: Non-Commercial Subset
This dataset contains a curated collection of adversarial prompts used for red teaming and LLM safety evaluation. All prompts come from datasets under non-commercial licenses and have been:
Deduplicated
Normalized into a consistent format
Automatically clustered based on semantic meaning
Each entry includes:
prompt: the adversarial instruction
source: the dataset of origin
cluster: a numeric cluster ID based on prompt behavior… See the full description on the dataset page: https://huggingface.co/datasets/Galtea-AI/galtea-red-teaming-clustered-data.teaching_assistant_dataset
Teaching Assistant Instruction Dataset
This dataset contains 5,000 synthetic interactions between a teacher and an assistant, designed to support the development of multi-agent systems for teachers.It includes examples of requests from university professors and answers from assistants in several subject areas and skill levels of students.The dataset was completely generated using GPT-5.1.
The data includes:
detailed requests from teachers,
indication of the subject area and the… See the full description on the dataset page: https://huggingface.co/datasets/MariyaMegre/teaching_assistant_dataset.