Datasets:

Mo7art
/

Stack2Graph_KG_fsharp

tags:
  - knowledge-graph
  - rdf
  - n-triples
  - sparql
  - semantic-web
  - stackoverflow
  - question-answering
pretty_name: StackOverflow Knowledge Graph - F#
license: cc-by-sa-4.0
size_categories:
  - 100M<n<1B

F# StackOverflow Knowledge Graph

Summary

This Hugging Face dataset repository contains the F# shard of the Stack2Graph StackOverflow Knowledge Graph. Hugging Face uses one dataset repository per programming language, so this repository is directly cloneable without an extra top-level archive wrapper.

The artifact is optimized for graph-based retrieval, SPARQL analytics, and retrieval-augmented question answering over Stack Overflow content.

Stack2Graph source: https://github.com/tha-atlas/Stack2Graph

Hugging Face Repository Layout

README.md
schema.nt
fsharp/
  part0.nt
  part1.nt
  ...

README.md: Hugging Face dataset card rendered from this template.
schema.nt: shared ontology and schema triples.
fsharp/part*.nt: F# instance triples serialized as N-Triples.

Data Model And Coverage

The graph links Stack Overflow entities and relations, including questions, answers, comments, tags, vote aggregates, and question-to-question links.

Coverage scope:

records are retained when they match the Stack2Graph supported language-tag set
this repository contains only the F# shard
a question may appear in more than one language repository when it has multiple programming-language tags

Recommended Use

Use this dataset for graph retrieval, SPARQL diagnostics, RAG experiments, and knowledge graph research for programming topics. It is not intended as row-wise tabular training input.

Load schema.nt and the files under fsharp/ into an RDF-capable store. Map language triples to named graph:

http://stackoverflow.com/f#

Example language-scoped query:

SELECT ?s ?p ?o
WHERE {
  GRAPH <http://stackoverflow.com/f#> {
    ?s ?p ?o
  }
}
LIMIT 100

Restore With Stack2Graph

You do not need to rebuild triples from XML to use this dataset.

Typical workflow:

Clone Stack2Graph and configure .env with service paths and an HF token.
Start local services:

docker compose up -d

Download and prepare the knowledge graph service state:

python -m experiment.sources.hf

Quality Notes

Vote information is represented as aggregates, not raw individual vote events.
Not all moderation context or full revision history is represented.
Community-generated Stack Overflow content may contain errors, outdated information, bias, or temporal drift.

License And Attribution

This dataset is derived from Stack Overflow content and is distributed under CC-BY-SA-4.0. Preserve required attribution and license notices when redistributing derived artifacts.

Citation

If you use this dataset, cite the Stack2Graph project and preserve Stack Overflow attribution requirements:

Kleybolte, L. A., Ventura, V., & Zarcone, A. (2026). Stack2Graph: A Structured Knowledge Representation of Stack Overflow Data for Retrieval-based Question Answering . In Proceedings of the Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26 (pp. 120-133). European Language Resources Association (ELRA). https://doi.org/10.63317/583q4d3mwbdu.