Upload StackOverflow KG language dataset: python

.gitattributes

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README.md

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+---
+tags:
+  - knowledge-graph
+  - rdf
+  - n-triples
+  - sparql
+  - semantic-web
+  - stackoverflow
+  - question-answering
+pretty_name: StackOverflow Knowledge Graph - Python
+license: cc-by-sa-4.0
+size_categories:
+  - 100M<n<1B
+---
+
+# Python StackOverflow Knowledge Graph Datasheet
+
+## 1. What This Dataset Is
+
+This dataset is the Python-specific RDF shard of the Stack2Graph StackOverflow Knowledge Graph.
+Each Hugging Face dataset repository contains exactly one language dataset.
+
+It is optimized for graph-based retrieval and SPARQL analytics (not row-wise tabular training input).
+
+It is used in the Stack2Graph paper for evaluating retrieval-based question answering and knowledge graph research on programming topics.
+
+See the Stack2Graph repository for more details:
+[https://github.com/tha-atlas/Stack2Graph](https://github.com/tha-atlas/Stack2Graph)
+
+## 2. Repository Layout
+
+```text
+schema.nt
+python/
+  part0.nt
+  part1.nt
+  ...
+```
+
+- `schema.nt`: shared ontology and schema triples.
+- `python/part*.nt`: language-scoped instance triples serialized as N-Triples.
+
+## 3. Data Model And Coverage
+
+The graph links Stack Overflow entities and relations, including:
+
+- questions
+- answers
+- comments
+- tags
+- vote aggregates
+- question-to-question links
+
+Coverage scope:
+
+- records are retained when they match the Stack2Graph supported language-tag set
+- this repository contains only the Python shard
+
+## 4. Recommended Preprocessing
+
+1. Load `schema.nt` and all triples from `python/` into an RDF-capable store.
+2. Map language triples to named graph `http://stackoverflow.com/python`.
+3. Keep schema triples available for graph-aware query planning.
+4. Preserve attribution and license metadata during downstream export.
+
+Example language-scoped query:
+
+```sparql
+SELECT ?s ?p ?o
+WHERE {
+  GRAPH <http://stackoverflow.com/python> {
+    ?s ?p ?o
+  }
+}
+LIMIT 100
+```
+
+## 5. Automatic Download And KG Setup
+
+You do not need to rebuild triples from XML to use this dataset.
+
+In the Stack2Graph repository, you can use the automation script
+`experiment/load_hf_datasets_into_services.py` to download dataset artifacts
+and prepare the knowledge graph service state automatically.
+
+Typical workflow:
+
+1. Clone and configure Stack2Graph (`.env` with HF token and service paths).
+1. Start required local services:
+
+```bash
+docker compose up -d
+```
+
+1. Run the loader script:
+
+```bash
+python -m experiment.load_hf_datasets_into_services
+```
+
+For manual usage without automation, you can directly load `schema.nt` and all
+triples from `python/` into your RDF store.
+
+## 6. Quality Notes And Caveats
+
+- A Stack Overflow question may belong to multiple language shards when tagged with multiple languages.
+- Vote information is represented as aggregates, not raw individual vote events.
+- As with community-generated data, content may include noise, bias, and temporal drift.
+
+## 7. Intended Use
+
+- retrieval and question-answering systems
+- RAG and hybrid retriever experiments
+- knowledge graph benchmarking and diagnostics
+- language-scoped developer tooling research
+
+## 8. Limitations
+
+- Not a complete mirror of all Stack Overflow content.
+- Not all moderation context or full revision history is represented.
+- Best used with graph infrastructure that supports named graphs and SPARQL.
+
+## 9. Licensing And Attribution
+
+This dataset inherits Stack Overflow source licensing and attribution requirements.
+Ensure compliant attribution and redistribution practices in all derived artifacts.
+
+## 10. Suggested Citation
+
+If you use this dataset, cite the Stack2Graph work:
+
+- Stack2Graph: A Structured Knowledge Representation of Stack Overflow Data for Retrieval-based Question Answering

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