datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
huatuo_knowledge_graph_qa
Dataset Card for Huatuo_knowledge_graph_qa
Dataset Summary
We built this QA dataset based on the medical knowledge map, with a total of 798,444 pieces of data, in which the questions are constructed by means of templates, and the answers are the contents of the entries in the knowledge map.
Dataset Creation
Source Data… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/huatuo_knowledge_graph_qa.qualora-workforce-skills-graph
Qualora Workforce Skills Graph (Representative Sample)
Rights-clean, provenance-tracked vocational learning data, rebuilt from roughly $2B of U.S. Department of Labor funded open courseware into a labeled skills graph: cleaned courses and lessons, Bloom-tagged assessment items with answer rationales and learning objectives, and a content-grounded course to skill to career graph with salary context. Built for post-training and evaluation, not pretraining bulk.
This repository is… See the full description on the dataset page: https://huggingface.co/datasets/qualora-data-labs/qualora-workforce-skills-graph.GraphInstruct-Testfin-cfa-graphgen
Fin-CFA-GraphGen: 785K Knowledge-Guided Financial QA Examples
Fin-CFA-GraphGen is a large-scale English dataset for financial instruction tuning, financial question answering, and domain-specific language-model post-training. It contains 785,149 synthetic question–answer examples generated from CFA curriculum and exam-preparation books with the GraphGen knowledge-driven data-generation method.
The dataset and its role in the post-training pipeline are described in Data-Centric… See the full description on the dataset page: https://huggingface.co/datasets/whoisjiji/fin-cfa-graphgen.GraphInstruct-RFT-72KGraphSilo-Testhuatuo_knowledge_graph_qa
Dataset Card for Huatuo_knowledge_graph_qa
Dataset Summary
We built this QA dataset based on the medical knowledge map, with a total of 798,444 pieces of data, in which the questions are constructed by means of templates, and the answers are the contents of the entries in the knowledge map.
Dataset Creation
Source Data… See the full description on the dataset page: https://huggingface.co/datasets/wuwu616/huatuo_knowledge_graph_qa.kg-triplet-graphrag
kg-triplet-graphrag
Open-text passages annotated with {{entities, relationships}} in the
Microsoft GraphRAG knowledge-model format.
Part of kg-triplet-sft: https://github.com/Alex-tangt/kg-triplet-sft
Size: 3,349 labeled passages — train 2,575 / validation 75 / test 699.
(The split file lists 700 test ids; one, wikipedia-01183, had no teacher labels and is omitted.)
Domain / language: English; Wikipedia 60% + arXiv 40%; sentence-boundary chunks (100–300 words).
Labels: produced… See the full description on the dataset page: https://huggingface.co/datasets/Alextgt/kg-triplet-graphrag.CTNSG-Graph-Curriculum
CTNSG Graph Curriculum Dataset
This dataset contains preprocessed graphs from WebNLG (v3.0), ATOMIC, and Spider.
It is explicitly designed for the Canonical Tractable Neuro-Symbolic Generation (CTNSG) framework.
Preprocessing
All raw data has been parsed into continuous node and edge embeddings using sentence-transformers/all-MiniLM-L6-v2.
Crucially, the graphs have been mathematically canonicalized using the Reverse Cuthill-McKee (RCM) algorithm.
This minimizes… See the full description on the dataset page: https://huggingface.co/datasets/Borisz42/CTNSG-Graph-Curriculum.Z3-Verified-Reasoning-Graphs
Z3-Verified Constraint Reasoning Dataset
5k Baseline · Production-Ready · Zero Label Noise
The Problem This Solves
Most synthetic reasoning datasets only show the "happy path". Real reasoning requires knowing when to backtrack.
Open-source LLMs hallucinate on constraint satisfaction problems because they are trained on fluent-sounding but logically inconsistent traces. This dataset is different:
❌ No LLM-generated reasoning — zero hallucinations, zero label noise
✅… See the full description on the dataset page: https://huggingface.co/datasets/nagygabor/Z3-Verified-Reasoning-Graphs.graph_problem_traces_test1
Additional Information
This dataset contains graph and discrete math problem-solving traces generated using the CAMEL framework. Each entry includes:
A graph and discrete math problem statement
A final answer
A tool-based code solution
Meta data
huatuo_knowledge_graph_qa
Dataset Card for Huatuo_knowledge_graph_qa
Dataset Summary
We built this QA dataset based on the medical knowledge map, with a total of 798,444 pieces of data, in which the questions are constructed by means of templates, and the answers are the contents of the entries in the knowledge map.
Dataset Creation
Source Data… See the full description on the dataset page: https://huggingface.co/datasets/Pete1994/huatuo_knowledge_graph_qa.GraphCode-Bench-500-v0
GraphCode-Bench-500-v0
GraphCode-Bench is a benchmark for evaluating LLMs on call-graph reasoning — given a function in a real-world repository, can a model identify which functions call it (upstream) or which functions it calls (downstream), across 1 and 2 hops?
Models are evaluated agentically: they receive read-only filesystem tools (list_directory, read_file, search_in_file) and up to 10 turns to explore the codebase before producing an answer.
Dataset summary… See the full description on the dataset page: https://huggingface.co/datasets/VittorioRossi/GraphCode-Bench-500-v0.GraphWalkerBenchThis repository contains the GraphWalkerBench dataset from the paper GraphWalker: Agentic Knowledge Graph Question Answering via Synthetic Trajectory Curriculum.
Code: https://github.com/XuShuwenn/GraphWalker
industry-intelligence-graph-samples
Fodda Industry Intelligence — Graph Samples
Expert-curated knowledge graph slices for AI agents and LLM fine-tuning.
This dataset contains JSON-LD samples from Fodda's five core domain knowledge graphs — showing the top trending topics across Retail, Beauty, Sports, Fashion, and Culture.
These are slices of a much larger interconnected intelligence system.
What Fodda Is
Fodda is an AI context layer built on PSFK's 20+ years of editorial expertise. It structures… See the full description on the dataset page: https://huggingface.co/datasets/Fodda-ai/industry-intelligence-graph-samples.huatuo_knowledge_graph_qa
Dataset Card for Huatuo_knowledge_graph_qa
Dataset Summary
We built this QA dataset based on the medical knowledge map, with a total of 798,444 pieces of data, in which the questions are constructed by means of templates, and the answers are the contents of the entries in the knowledge map.
Dataset Creation
Source Data… See the full description on the dataset page: https://huggingface.co/datasets/chatarchive/huatuo_knowledge_graph_qa.hu-collocation-lambada
hu-collocation-lambada
Dataset Summary
This dataset is a Hungarian benchmark designed to evaluate large language models' understanding of contextual collocations and definitions. It is inspired by the LAMBADA task and constructed using the full content of the Magyar szókapcsolatok, kollokációk adatbázisa (Temesi, ed.).
Each data point contains:
a target collocation from the original dataset,
its dictionary-style definition,
and a short narrative ending just before the… See the full description on the dataset page: https://huggingface.co/datasets/graphium-company/hu-collocation-lambada.wikipedia_knowledge_graph_en
Dataset Card for Wikipedia Knowledge Graph
The dataset contains 16_958_654 extracted ontologies from a subset of selected wikipedia articles.
Dataset Creation
The dataset was created via LLM processing a subset of the English Wikipedia 20231101.en dataset.
The initial knowledge base dataset was used as a basis to extract the ontologies from.
Pipeline: Wikipedia article → Chunking → Fact extraction (Knowledge base dataset) → Ontology extraction from facts →… See the full description on the dataset page: https://huggingface.co/datasets/Jayesh2160/wikipedia_knowledge_graph_en.channel3-universal-product-graph-sample
Channel3 Universal Product Graph (Sample)
Structured, AI-ready product data from across the web. This repository contains a small evaluation sample. The full dataset is available under a commercial license from Channel3.
What this is
Channel3 maintains a universal product graph: a connected, continuously updated dataset of products from across the internet. For each product it provides normalized and comparable titles, stable identifiers for deduplication and… See the full description on the dataset page: https://huggingface.co/datasets/trychannel3/channel3-universal-product-graph-sample.