Datasets:

Mo7art
/

Stack2Graph_KG_elixir

@@ -1,110 +1,1169 @@
 ---
-tags:
-  - knowledge-graph
-  - rdf
-  - n-triples
-  - sparql
-  - semantic-web
-  - stackoverflow
-  - question-answering
-pretty_name: StackOverflow Knowledge Graph - Elixir
-license: cc-by-sa-4.0
-size_categories:
-  - 100M<n<1B
 ---
-# Elixir StackOverflow Knowledge Graph
-## Summary
-This Hugging Face dataset repository contains the Elixir 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](https://github.com/tha-atlas/Stack2Graph)
-## Hugging Face Repository Layout
-```text
-README.md
-schema.nt
-elixir/
-  part0.nt
-  part1.nt
-  ...
 ```
-- `README.md`: Hugging Face dataset card rendered from this template.
-- `schema.nt`: shared ontology and schema triples.
-- `elixir/part*.nt`: Elixir 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 Elixir 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 `elixir/` into an RDF-capable store. Map language triples to named graph:
-```text
-http://stackoverflow.com/elixir
 ```
-Example language-scoped query:
 ```sparql
-SELECT ?s ?p ?o
 WHERE {
   GRAPH <http://stackoverflow.com/elixir> {
-    ?s ?p ?o
   }
 }
-LIMIT 100
 ```
-## Restore With Stack2Graph
-You do not need to rebuild triples from XML to use this dataset.
-Typical workflow:
-1. Clone Stack2Graph and configure `.env` with service paths and an HF token.
-2. Start local services:
-```bash
-docker compose up -d
-```
-3. Download and prepare the knowledge graph service state:
-```bash
-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.

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+            "data/quads-2d8c73b1c418092090a2a1fcd46e0fa06b75a8cac49d1f96865e64741665afd2-00000.parquet",
+            "data/quads-3cb6acb71f04e0c167cf57529227aba4a2c12875c584cc8596f599d8b412e1ff-00000.parquet",
+            "data/quads-30876aad5fb8f68462da032d0527b9fd1ffb11b70d3856e8dc4130faff4164b2-00000.parquet",
+            "data/quads-e6b52a2a0b5a416bed1f3528bd33a36a103a4d3479a95f1f4df06984aa6cab12-00000.parquet",
+            "data/quads-8536421d42da3af0cfe15072dd4abec6c00be6e7dba06c293f2773afbffc3e72-00000.parquet",
+            "data/quads-355e94f008fb9ca95c7b55171524826d41420a99bb1c5394c4e9f3894c781311-00000.parquet",
+            "data/quads-c47db1580ca778e9608ec4abdb700bceb0b6e3d4e9733bb08e01881352dea6f8-00000.parquet",
+            "data/quads-e2f5ad471812c93f29ce34a2acb8bf5686d0447423b9dba1e2fea1914f817f18-00000.parquet",
+            "data/quads-6d0619fd101e0de4fb5e2493f8aedc2ee3aea4e4a38d8f7282fe1684ca875e11-00000.parquet",
+            "data/quads-755f5ea492e98752d6b9d4c60a0d5a20e5b81413186cab005235a449d2867d27-00000.parquet",
+            "data/quads-86c3a9579e4f08fd179b57ac5607ebc0906f58651439531f337d13d48aaec076-00000.parquet",
+            "data/quads-c7061581e22c870ec64285de4093d373af00670fd2f5e235c27be3d1e2c16456-00000.parquet",
+            "data/quads-552d8ca3030cf5f1429351ac666266e53aa10559c5b61ce7b7e28372056832df-00000.parquet",
+            "data/quads-5b96795722f701a075477364a5f86ca94e2dd1e9293f16a06982b8aad86a51f0-00000.parquet",
+            "data/quads-cd687fb4ca299762c4996039febc17fff539df3af93d92b1d48c224d0febc840-00000.parquet",
+            "data/quads-53439c09fda84a5c9942c1a5833f5bb1163e60878c9f65f75f90f754530ffb96-00000.parquet",
+            "data/quads-07f18fe22ca34538c58e541551c62d498dd37ec0ff85fa1646e94c93939d3b24-00000.parquet",
+            "data/quads-c74e996e8c4acf7f1809e0b3a1746e1a54e831c29aaa9ffdf33e27e2103bd115-00000.parquet",
+            "data/quads-3c3c23b739a9afd54b94d66138aa97c2b01b39ea6c7c15144d97a45f2d9c1e5e-00000.parquet",
+            "data/quads-021ed4dcee914890322477244d8f447b490d7bf4407e680e8ac8dd3a20df95da-00000.parquet",
+            "data/quads-5e65402c95f45d163f2dc0498bd89cf8076d6f8942c82fabdf397fb89c138aae-00000.parquet",
+            "data/quads-c01159ef548c5d569c4f1215e0c4dc1de501f4518506cabc741f6044415865ee-00000.parquet",
+            "data/quads-dc4202ea797a37c1ad35e6ff50c4443ce2c8135a87623f179bc7c802e962b955-00000.parquet",
+            "data/quads-ec467d46c90ecc8129370c7d82f22c3355d25aeeef125a561c0f24f372b18226-00000.parquet",
+            "data/quads-9a6a648293defa68d286dd617f8e08efc187875e1e5f1e2d876cde8370678e44-00000.parquet",
+            "data/quads-0efc23cc4c81c947c50441e9241d73e95a74da23e087dce055220b93191afe08-00000.parquet",
+            "data/quads-b25079f23ed246f12a40a2eda6e0c124772b6616642977cef5c624fc786f14e8-00000.parquet",
+            "data/quads-fc8589620353b67e419b41348b33dc65b9c10fbdbe710c6bf119f5863fb48473-00000.parquet",
+            "data/quads-5cc72a12cc4ed4b327850f7c7994a1dff85e78e67cee9a5ca191c99c788fcf7e-00000.parquet",
+            "data/quads-855ed0fcafa65c30b2ea0554237edb2d4565c14468c2ad70b558ac2b1c0e0e8b-00000.parquet",
+            "data/quads-753affaae5bc61a724b52828f11359422f42f7fc549f418a062b039a8b3c720c-00000.parquet",
+            "data/quads-51d8f9f291b067a5ba7e5a6fa1c6f320a8d9dd2ec58484060da95cd4b5fafbd6-00000.parquet",
+            "data/quads-1bc1c789777dcab9abcd55ddbfe826a50c045fe9401a5fb4890e36880cbccf08-00000.parquet",
+            "data/quads-3badcfe290ab64533d96a0b4cfcdc86f983636f8ab1c412d1438c805af29749d-00000.parquet",
+            "data/quads-c40df0b873a241d20a06bbccf05e6192dce9145bc59557b1326b877d060ca64c-00000.parquet",
+            "data/quads-e3921a6e9059d029faa296dba3dc021e665e185ba14ccd93af07c0e63590b9ef-00000.parquet",
+            "data/quads-0d349b4df3b556c402776f350c415b4f68c2930f272663c5d4ee4c4a8c276063-00000.parquet",
+            "data/quads-2695a5e2fb16dccf24e25ab059fa43f73af674b8e6fba0339d4bdfc4f1fc8005-00000.parquet",
+            "data/quads-9743358137be9a208c9dffa76da61a431cd2c2e40cfb13c7dd246522b132186d-00000.parquet",
+            "data/quads-b1929ae42fe5668cb14c3ec70959b0b6d123eb52bdec6b80b3d787ab86e61d8e-00000.parquet",
+            "data/quads-00393853432936ede48c616f465f05a208f3b4d078b3db992379bf6e7a2b4ec2-00000.parquet",
+            "data/quads-7850e207017ee77a5c3dde95ca3450bab7f470d9072b8aa8df4d350de2c08588-00000.parquet",
+            "data/quads-3f90ffb2de66e473cccc1c1babe6db9dc9cee921811430fc0fd0714b85e05849-00000.parquet",
+            "data/quads-f614991d31bc732403bb8839d2820ba3829f660a595aba65d23d884858a71cb5-00000.parquet",
+            "data/quads-9c6ea76804b64aecd8021ba8fab644cfbc9131a530b089d1fa318eccc9b6829f-00000.parquet",
+            "data/quads-9f9905bb7ff2d84688b5b3d0adf112a67007709df04410b6107791f25d57594c-00000.parquet",
+            "data/quads-efd517de2d2419cc4297752d0c60e6a6ca0c9f73bb5698856684092ac1c4d0a0-00000.parquet",
+            "data/quads-b4496ad5ca5c4ab40660c67d664a6e58bd5fc0358463f1ae0023eab1afa67831-00000.parquet",
+            "data/quads-fa816b5531139e119fa52f3e76a78f3a22b1cdf7e122c4d1fc5923894ab1dccc-00000.parquet",
+            "data/quads-1782694b07dc0cdf2b209e4275ed92ef2645c3baf5cc24b14b7cc814e1cd5ee4-00000.parquet",
+            "data/quads-30397e950a76e335a1a906558f2fb86ac7e4e5271d48146722742bf66b8abef9-00000.parquet",
+            "data/quads-dd0e810a9a4712a7c09797d3277ae40529dd0034ec05c392d79bd3bf16cd9ee3-00000.parquet",
+            "data/quads-aa2383683ee9990978156c40bef4dd4a65184bf67e2d6602b75950a2d6df7384-00000.parquet",
+            "data/quads-fff733e34c4a2fc0db8577ef014869a7dc7e1ee70bb6188ed2a9fe733c386072-00000.parquet",
+            "data/quads-ee08a7432a2e8777ebf646256f8853c8b7b9030578231ba42c401ea9b76d2e5f-00000.parquet",
+            "data/quads-3332b0cf0fc43df1b3a17f2e0646ad9931c521cca39c2ec558214e49775750f6-00000.parquet",
+            "data/quads-3a0001660d6cfa46eac276162d09a7a544c3d7ab42e6eb7f76bdbd4d3f75c216-00000.parquet",
+            "data/quads-d7f6ff9fa40f5b71262f17c48b8d8090db186ea185aa44ec975cc7adeff5c489-00000.parquet",
+            "data/quads-aca30ec4fe3889c6b7d557e8c44c949a6794b97a9497166d854d56d2e6a07602-00000.parquet",
+            "data/quads-84dd2abb5a4e2a04cfaffec0895969190e6a8c4850a813804fa712d74225e367-00000.parquet",
+            "data/quads-a04a3759a3161b92e4184bd11c29c05091827660dff6159b771e7d061abd24da-00000.parquet",
+            "data/quads-9f2f5e43ad70848c2e2c8317597ea4f97c6aa096d3804a6460802f32980dcbf9-00000.parquet",
+            "data/quads-a21c0581f359f09d20f3f40117aa98b30bd6e7836821ba68a4e880ddee0fd3a1-00000.parquet",
+            "data/quads-2a20dfd434064711af700b1b63176df8ad2c40bb9a3b5db77d266a80c1730d24-00000.parquet",
+            "data/quads-29386367aee092a26137ac86310631f2e377176c12224b9af4fa8d94dc90cccb-00000.parquet",
+            "data/quads-abf98c686342027f3042cf65ac5e5c805d73f38bbfd621562984b07fdc7b6f14-00000.parquet",
+            "data/quads-69aa0d8ffd8f08173c46b7aa40b8fbe767730c8cb50e1a153eeb33f1ac5e58e8-00000.parquet",
+            "data/quads-8d9fc2d595db123d15bc99cc80ca8dcbf96e28aa07b70926d2d09a4e9d869790-00000.parquet",
+            "data/quads-3ff2b0eeefa38065fc65976a6278db7cf9c6254ee21ce04326c66f456b4570a2-00000.parquet",
+            "data/quads-e03d16a5af64439df4baa8a2d4e6c02e876e3b6277e927c25e8d296b829232cc-00000.parquet",
+            "data/quads-ce019c01806febc12384cfbef002fca21f3ffa421146c79019555a8fce74cfc0-00000.parquet",
+            "data/quads-b46a0e8507b2af62bbda9e8c7f82a8e875018729edbf2921e3d64c38ab7cf30a-00000.parquet",
+            "data/quads-1aa88a19cabfc0325e2352c899173db2868aeb837748ee4a03a0b308bb7306ad-00000.parquet",
+            "data/quads-ad0b8aa61b2a58faaff09d10065a85a8ae40d3df600afec73ade5e24f40243ae-00000.parquet",
+            "data/quads-df4c1da575b1d34bd98aa957e8ea1c90502982524189a8805806706892b91432-00000.parquet",
+            "data/quads-3758c1c723cca3a8990327515af3cb31c82d7fe74e59b4c7f9c9b264fa3fdb17-00000.parquet",
+            "data/quads-d375373f2c2ad7d4485a865b4c3bcb40cb5d88e303eca2939e3397725a15a51d-00000.parquet",
+            "data/quads-81366fc0194c71da2665810f4eafe194f018d25306bf5e8991c07e7351c40854-00000.parquet",
+            "data/quads-ec23caea41b17b544c0cf72dccef9318d643b2cf9ad32e8f062d89ecdf413a5a-00000.parquet",
+            "data/quads-8d99fc24c0a5ad85d78cda95f36c8b88a9a850641f25832e8b12e859b3491ce3-00000.parquet",
+            "data/quads-98aab7395a5818030c3f3bcf3032d707ab3ba9d8afa26d14f2613c1fc14a9734-00000.parquet",
+            "data/quads-e884eda0b0328fd9c7f3a450600f7df664e607f32a1acc3fcc12b712ec5e4627-00000.parquet",
+            "data/quads-adea7cdc664b5d2391d2b736414adddc2a2c6e536b2ea39e18f6fc42e0a948fd-00000.parquet",
+            "data/quads-1508aa331b4a9756fb436a3641b3675f4eb6fa8a51117cffdb58fd1a26473ef1-00000.parquet",
+            "data/quads-7b18d0ee6b954f4403fdf3c66a2911adb32e6985b8f9a294fe78264955d2942b-00000.parquet",
+            "data/quads-5d00c0a61c49b81fb9f2ca5f3fdf8b089e9978f28850f8a21464283ca2490971-00000.parquet",
+            "data/quads-8ec959e4c1acfb570524710e8335a5892567aec255036f4364b94f772a1abb00-00000.parquet",
+            "data/quads-c2bab7e7a57be9f984371d9617f541b5029763b4f215e0ad5c9f945483d1b08f-00000.parquet",
+            "data/quads-ba7822eb6fb951101f5892c10d9b300790087a9773e1e230460e9c80acb8b6d8-00000.parquet",
+            "data/quads-feaf90bb76e6686ec874e69bfccf3f1fdef8e1d6cbf5da4e2d75099c958883ef-00000.parquet",
+            "data/quads-1e5f3c91362f18001bae704dacd0dddd89b8b2e01880ca5d94ae4ad881b06270-00000.parquet",
+            "data/quads-054cdf1d80eb45463c57c1d996ea7e00d593f3dc2af4a74341e1bc134105ab0f-00000.parquet",
+            "data/quads-2e2f20cdf4d5712222e97ca76c95f4dfc99ef2495e7bef8c26e972bbe0fd3f1e-00000.parquet"
+          ],
+          "split": "train"
+        }
+      ]
+    }
+  ],
+  "license": "cc-by-sa-4.0",
+  "pretty_name": "Stack Overflow knowledge graph: Elixir",
+  "size_categories": [
+    "100M<n<1B"
+  ],
+  "tags": [
+    "stackoverflow",
+    "knowledge-graph",
+    "rdf",
+    "n-quads",
+    "sparql",
+    "parquet",
+    "retrieval-augmented-generation"
+  ],
+  "task_categories": [
+    "question-answering",
+    "text-retrieval"
+  ]
+}
 ---
+# Stack Overflow knowledge graph: Elixir
+This dataset contains Stack Overflow discussions selected by the `elixir` programming-language tags using the release's selection registry. The selection refers to programming languages; posts can contain text in different natural languages.
+The RDF export is produced by [stack2graph](https://github.com/tha-atlas/Stack2Graph).
+This Hugging Face dataset provides Parquet tables of RDF quads and a reproducible RDF archive
+for graph retrieval, SPARQL analysis and retrieval-augmented question answering.
+It contains the same selected RDF shards, schema and shared documentation as the
+corresponding Mozilla Data Collective (MDC) publication for the same export identity.
+The root dataset card and schema image provide the Hugging Face presentation;
+the archive retains its portable README and exact file inventory.
+The programming-language selection is described below. It does not establish the
+natural languages of post text. The `quads` configuration exposes the entire graph
+as the `train` storage split; it is not an evaluation split or a curated training
+corpus. Quad counts are not counts of unique questions or question-answer pairs.
+## Files on Hugging Face
+| Path | Contents |
+| --- | --- |
+| `data/quads-*.parquet` | Zstandard-compressed quad tables for the Dataset Viewer and streaming |
+| `data/dataset.tar.gz` | Reproducible archive containing `graphs/` RDF shards, `README.md` and `publication.json` |
+| `publication.json` | The same shard inventory as inside the archive, including stored-file SHA-256 values and export identity |
+| `release.json` | Archive path, compressed byte count and SHA-256, plus card, inventory and diagram hashes |
+| `assets/kg-schema.svg` | Schema diagram embedded in this card |
+| `README.md` | This dataset card with Hugging Face metadata |
+The RDF paths in `publication.json` are paths inside the archive. They are not
+separate downloadable shard paths in this repository. The root `release.json`
+identifies the compressed archive; individual RDF hashes identify its extracted
+files. The export identity is a build fingerprint, not an archive checksum.
+## Parquet schema and streaming
+Each row is one RDF quad. The UTF-8 string columns `subject`, `predicate`,
+`object` and `graph` use RDF term syntax: IRIs retain angle brackets, literals
+retain quotes and language/datatype annotations, and blank nodes retain their
+identifiers. An empty `graph` denotes the default graph. Reconstruct N-Quads by
+joining these terms with spaces and appending ` .`; omit an empty graph term.
+The original RDF archive preserves the original source bytes.
+The generated YAML configuration lists the exact Parquet files for this release,
+so historical files do not enter the current dataset. Use the repository's full
+commit SHA to reproduce a release:
+```python
+from datasets import load_dataset
+quads = load_dataset(
+    "NAMESPACE/DATASET_REPOSITORY",
+    name="quads",
+    split="train",
+    revision="FULL_COMMIT_SHA",
+    streaming=True,
+)
 ```
+Parquet rows preserve graph statements, including duplicates and shared-shard
+overlap. Their count agrees with the quad count in the source publication inventory.
+The four columns are RDF terms, not flattened natural-language question/answer fields.
+## Download and unpack
+Download the archive and manifests from the **Files and versions** tab. For a
+reproducible download, select a specific repository commit and obtain all files
+from that same commit. The following Python example uses the official
+[`huggingface_hub` download API](https://huggingface.co/docs/huggingface_hub/en/guides/download).
+Replace the repository placeholder with this dataset's ID and the revision with
+its full commit SHA:
+```python
+from huggingface_hub import snapshot_download
+snapshot_path = snapshot_download(
+    repo_id="NAMESPACE/DATASET_REPOSITORY",
+    repo_type="dataset",
+    revision="FULL_COMMIT_SHA",
+    allow_patterns=[
+        "README.md",
+        "assets/kg-schema.svg",
+        "data/dataset.tar.gz",
+        "publication.json",
+        "release.json",
+    ],
+    local_dir="dataset-download",
+)
+```
+Check the downloaded archive's byte count and SHA-256 against `release.json`,
+then unpack it into a new directory:
+```sh
+mkdir dataset-unpacked
+tar -xzf dataset-download/data/dataset.tar.gz -C dataset-unpacked
+```
+Check extracted RDF file sizes and SHA-256 values against `publication.json`
+before loading. Preserve the directory layout and named graph IRIs. Load these
+files into an RDF dataset or quad store; this release is an N-Quads archive
+alongside the Parquet projection configured for `datasets.load_dataset()`.
+RDF loading and SPARQL examples follow below.
+## Release
+| Field | Value |
+| --- | --- |
+| Source snapshot | `stackexchange_20260630_sakura` |
+| Source release date | 2026-06 |
+| Source archive | `stackexchange_20260630/stackoverflow.com.7z` |
+| RDF format | N-Quads |
+| RDF shards | 665 |
+| Quads across all included shards | 14242516 |
+| Named graphs | 41 |
+| Stored RDF shard bytes | 3042302974 |
+| Shard compression | none |
+| Mapping version | `kg-map-5-streamed-count-acceptance` |
+The byte count is the sum of the RDF files as stored inside the archive. The
+size of the downloadable archive also depends on compression and the
+included metadata.
+## Contents and selection
+The selected language graph is `http://stackoverflow.com/elixir`. Schema statements are
+stored in `http://stackoverflow.com/schema`. The package also includes the full set of shared
+tag-documentation shards, including documentation assigned to other language
+graphs. The counts below cover every included shard.
+| Named graph IRI | Shards | Quads | Stored bytes |
+| --- | ---: | ---: | ---: |
+| `http://stackoverflow.com/.net` | 1 | 509,802 | 106,946,489 |
+| `http://stackoverflow.com/abap` | 1 | 28,199 | 7,135,975 |
+| `http://stackoverflow.com/assembly` | 1 | 108,506 | 24,486,120 |
+| `http://stackoverflow.com/bash` | 1 | 269,740 | 58,415,774 |
+| `http://stackoverflow.com/c` | 1 | 397,463 | 82,602,742 |
+| `http://stackoverflow.com/c%23` | 2 | 747,572 | 154,579,782 |
+| `http://stackoverflow.com/c%2B%2B` | 1 | 547,224 | 115,565,769 |
+| `http://stackoverflow.com/cobol` | 1 | 22,806 | 5,905,661 |
+| `http://stackoverflow.com/css` | 1 | 377,632 | 79,878,757 |
+| `http://stackoverflow.com/dart` | 1 | 173,422 | 38,418,337 |
+| `http://stackoverflow.com/elixir` | 618 | 836,078 | 180,435,306 |
+| `http://stackoverflow.com/erlang` | 1 | 70,831 | 17,015,911 |
+| `http://stackoverflow.com/extra-languages` | 4 | 1,946,660 | 411,030,194 |
+| `http://stackoverflow.com/f%23` | 1 | 99,577 | 23,061,999 |
+| `http://stackoverflow.com/fortran` | 1 | 69,210 | 16,302,861 |
+| `http://stackoverflow.com/go` | 1 | 232,066 | 50,190,743 |
+| `http://stackoverflow.com/haskell` | 1 | 130,034 | 29,549,858 |
+| `http://stackoverflow.com/html` | 1 | 564,991 | 118,397,694 |
+| `http://stackoverflow.com/java` | 2 | 852,778 | 175,779,641 |
+| `http://stackoverflow.com/javascript` | 2 | 835,318 | 176,973,616 |
+| `http://stackoverflow.com/julia` | 1 | 78,196 | 18,129,118 |
+| `http://stackoverflow.com/kotlin` | 1 | 235,993 | 51,596,215 |
+| `http://stackoverflow.com/lisp` | 1 | 51,116 | 12,303,281 |
+| `http://stackoverflow.com/lua` | 1 | 121,394 | 27,520,033 |
+| `http://stackoverflow.com/matlab` | 1 | 192,261 | 42,328,114 |
+| `http://stackoverflow.com/objective-c` | 1 | 295,433 | 65,168,125 |
+| `http://stackoverflow.com/perl` | 1 | 199,111 | 43,997,237 |
+| `http://stackoverflow.com/php` | 1 | 599,966 | 124,416,158 |
+| `http://stackoverflow.com/powershell` | 1 | 246,683 | 54,868,728 |
+| `http://stackoverflow.com/prolog` | 1 | 52,218 | 12,630,513 |
+| `http://stackoverflow.com/python` | 2 | 832,615 | 172,503,416 |
+| `http://stackoverflow.com/r` | 1 | 309,658 | 65,272,221 |
+| `http://stackoverflow.com/ruby` | 1 | 332,599 | 71,344,012 |
+| `http://stackoverflow.com/rust` | 1 | 141,564 | 31,460,455 |
+| `http://stackoverflow.com/scala` | 1 | 225,800 | 49,890,758 |
+| `http://stackoverflow.com/schema` | 1 | 246 | 42,209 |
+| `http://stackoverflow.com/shell` | 1 | 231,941 | 51,162,808 |
+| `http://stackoverflow.com/sql` | 1 | 385,479 | 82,063,553 |
+| `http://stackoverflow.com/swift` | 1 | 305,458 | 65,138,858 |
+| `http://stackoverflow.com/typescript` | 1 | 303,648 | 66,849,340 |
+| `http://stackoverflow.com/vb.net` | 1 | 281,228 | 60,944,593 |
+Questions with tags for several programming languages can appear in several
+language packages. Totals from different packages therefore overlap.
+## Graph model
+Each N-Quads statement contains a subject, predicate, object and named graph IRI.
+The named graph records the language selection that contains the statement.
+Entities keep the same IRIs across language graphs, so the same question can be
+queried in several contexts without introducing a separate question identity.
+Files are storage shards; splitting a graph across files does not create new
+logical graphs.
+The vocabulary uses the namespace `http://stackoverflow.com/schema#`, abbreviated
+as `so:` below. Its RDF/OWL definitions are included in `http://stackoverflow.com/schema`.
+Questions connect to answers, comments, tags and other questions. The relationship
+table below gives the direction of each predicate and its exported inverse.
+An accepted answer is also an answer, and acceptance edges are present only when
+resolved from the source. Comments can also belong to tag documentation posts.
+The diagram below shows these entities and relationships.
+![Stack Overflow knowledge graph schema: questions, answers, comments, tags and their relationships](assets/kg-schema.svg)
+The diagram's combined "Other question" node illustrates the possible directions of
+`so:duplicateOf`. It does not assert that a pair of questions is marked as a
+duplicate in both directions. Each arrow requires its own source PostLinks
+record. Neither `so:duplicateOf` nor `so:linkedTo` has an automatically
+exported inverse; an incoming edge is a separate source relation, not a generated
+reverse of the outgoing edge. An incoming edge is stored in its source question's
+language graph, so displaying it can require loading another language package.
+### Timestamps
+Timestamps are datatype properties whose objects are `xsd:dateTime` literals.
+Each field is a separate RDF statement. In the diagram, rectangular
+panels group these properties beside their entities; the panels are not RDF
+entities. Missing source values produce no statement.
+| Property | Meaning | Applicable entities |
+| --- | --- | --- |
+| `so:creationDate` | Creation time | Questions, answers, tag documentation and comments |
+| `so:lastEditDate` | Last edit time | Questions, answers and tag documentation |
+| `so:lastActivityDate` | Last activity time | Questions, answers and tag documentation |
+| `so:communityOwnedDate` | Conversion to community wiki | Questions, answers and tag documentation |
+| `so:closedDate` | Closure time | Questions |
+The embedded SVG shows representative panels for the question, an answer and a comment.
+The same rules apply to accepted answers, answer comments and tag documentation
+as listed above. For example, a question's creation time is represented as the
+following triple, within its named graph (the value is illustrative):
+```turtle
+@prefix so: <http://stackoverflow.com/schema#> .
+@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
+<http://stackoverflow.com/q/123>
+    so:creationDate "2024-03-15T10:30:00Z"^^xsd:dateTime .
 ```
+These fields describe the source snapshot, not a complete revision history.
+Last activity or last edit dates alone do not establish technical freshness.
+| Entity | Representation |
+| --- | --- |
+| Question | `so:Question`, identified by `http://stackoverflow.com/q/{post_id}` |
+| Answer | `so:Answer`, identified by `http://stackoverflow.com/a/{post_id}` |
+| Comment | `so:Comment`, with `so:QuestionComment` or `so:AnswerComment` for comments on discussions |
+| Tag | `so:Tag`, identified by `http://stackoverflow.com/tags/{encoded_tag}` |
+| Tag documentation | `so:TagWiki` and `so:TagExcerpt`, connected to their tag |
+Questions, answers and documentation posts carry source post IDs. Available
+properties include titles, original HTML bodies, scores, aggregated upvote and
+downvote counts, timestamps and content licenses. Comments carry text, scores,
+creation dates and licenses. Question-specific properties include source answer,
+view and favorite counts. Missing source values are omitted. Individual voters
+and user-profile entities are not represented by this mapping.
+| Relationship | Meaning | Exported inverse |
+| --- | --- | --- |
+| `so:hasAnswer` | Question to one of its answers | `so:answersQuestion` |
+| `so:acceptedAnswer` | Question to its resolved accepted answer | `so:acceptedAnswerOf` |
+| `so:hasComment` | Post to a comment on it | `so:commentOn` |
+| `so:taggedWith` | Question to one of its source tags | `so:tagsQuestion` |
+| `so:hasTagWiki` | Tag to its documentation post | `so:tagWikiOf` |
+| `so:hasTagExcerpt` | Tag to its short description | `so:tagExcerptOf` |
+| `so:linkedTo` | Directed source PostLinks relation of type 1 | None |
+| `so:duplicateOf` | Directed source PostLinks relation of type 3 | None |
+The listed inverse relationships are written as triples, so querying them does
+not require an inference engine. A link or duplicate edge does not imply a reverse
+edge. The mapper also writes applicable superclass types. Answer status uses
+classes such as `so:AnsweredQuestion`, `so:UnansweredQuestion` and
+`so:QuestionWithAcceptedAnswer`; missing edges alone do not establish unanswered
+status. An accepted answer or a high score does not establish technical correctness.
+The ontology defines `so:possibleBetterAnswer`, but this exporter does not generate
+that assessment.
+## How the language graphs connect
+Language membership is determined from question tags using the release's selection
+registry. Matching covers configured base tags, version patterns and aliases.
+Answers and discussion comments inherit their question's graph membership; their
+bodies are not classified independently. Questions without a registry match are
+routed to the `http://stackoverflow.com/extra-languages` graph in the full export.
+This category is not an additional match for questions already assigned to a
+registered language.
+### The additional extra-languages dataset
+`extra-languages` can be published as its own dataset alongside the 39 language
+datasets. Its graph IRI is `http://stackoverflow.com/extra-languages`. It contains
+questions with no match in the release's configured language registry, including
+their answers, comments and outgoing question links. This can include questions
+about unconfigured languages and questions without a recognized language tag;
+it is not a classification into one additional programming language.
+The graph also holds tags without recorded graph usage and tag documentation
+without a resolved owner. Its publication package includes its discussion shards,
+the schema and all shared documentation shards. Regular language packages include
+shared documentation from this graph, but not its complete discussion collection.
+Load the extra-languages dataset from the same export identity to resolve links
+whose target discussions are in that graph. It complements the configured
+language selections without assigning those discussions to another language.
+There are three ways language graphs share or connect content:
+1. **The same discussion in several graphs.** If a question matches both Python
+   and Java, its question, answer and comment statements are emitted into both
+   language graphs with the same entity IRIs. This overlap follows source tags;
+   it is not a translation or an inferred similarity relationship.
+2. **Shared tags and documentation.** Tags retain their identities across graphs.
+   Their definitions, wikis, excerpts and documentation comments are routed to
+   the graphs of questions using those tags. Tags without recorded usage, and
+   documentation without a resolved tag owner, go to `extra-languages`.
+3. **Links between different questions.** `so:linkedTo` and `so:duplicateOf` point
+   from a question to another question's IRI. The edge is stored in the source
+   question's language graphs. Its target can belong to another language graph.
+For example, Q1 has tags matching both Python and Java, so its discussion is
+represented in both graphs. Q2 belongs to Java and is the target of a source link
+from Q1. The following statements illustrate this arrangement:
+| Named graph | Subject | Predicate | Object |
+| --- | --- | --- | --- |
+| `http://stackoverflow.com/python` | Q1 | `so:linkedTo` | Q2 |
+| `http://stackoverflow.com/java` | Q1 | `so:linkedTo` | Q2 |
+| `http://stackoverflow.com/java` | Q2 | `rdf:type` | `so:Question` |
+Q1 stands for `http://stackoverflow.com/q/1` in both graphs; Q2 stands for
+`http://stackoverflow.com/q/2`. The two Q1 entries describe the same entity.
+There is no additional "same entity" edge. The two `so:linkedTo` statements are
+copies of the same source link stored in different named graphs.
+These IDs are illustrative. Q2's reference in the Python graph
+does not by itself include Q2's title, body or answers there. Those descriptions
+are available when the package containing Q2's discussion has been loaded.
+Each language package contains the selected language's discussion shards plus
+all shared tag-documentation shards and the schema. A Java graph appearing in a
+Python package's inventory can therefore contain shared documentation without
+containing Java's full question-and-answer collection. The same applies to
+`extra-languages`: its shared documentation can be present without its discussion
+shards. A referenced question can have no local description when its discussion
+is only in another package.
+To follow these connections across languages, load the relevant packages from
+the same export identity into one RDF dataset and preserve the named graphs.
+Shared shards occur in multiple packages; avoid importing them repeatedly into
+stores that retain duplicate statements. For entity counts across graphs, use
+`COUNT(DISTINCT ?question)`. Summing quad counts measures graph statements,
+including repeated statements in different language graphs, rather than unique
+discussions.
+`publication.json` records each file's path, stored byte count, SHA-256 checksum
+and graph key, together with the export identity. RDF files are under `graphs/`.
+Internal run manifests, QLever indexes, credentials and uploader source are
+excluded from the archive.
+## Loading and querying
+Load the `.nq` files as N-Quads and preserve their embedded named graph IRIs.
+For `.nq.gz` files, decompress them first if your RDF store cannot read gzip.
+The following query counts loaded quads by graph. Use the graph inventory above
+to check the result, or restrict queries to `http://stackoverflow.com/elixir` when working
+with the selected language.
+```sparql
+SELECT ?graph (COUNT(*) AS ?quads)
+WHERE { GRAPH ?graph { ?s ?p ?o } }
+GROUP BY ?graph
+```
+Retrieve questions and their available answers in this language graph:
 ```sparql
+PREFIX so: <http://stackoverflow.com/schema#>
+SELECT ?question ?title ?answer
 WHERE {
   GRAPH <http://stackoverflow.com/elixir> {
+    ?question a so:Question .
+    OPTIONAL { ?question so:hasTitle ?title }
+    OPTIONAL { ?question so:hasAnswer ?answer }
   }
 }
+LIMIT 25
 ```
+After loading other language packages, find linked or duplicate questions whose
+descriptions are available in another named graph:
+```sparql
+PREFIX so: <http://stackoverflow.com/schema#>
+SELECT DISTINCT ?question ?relation ?target ?targetGraph ?targetTitle
+WHERE {
+  GRAPH <http://stackoverflow.com/elixir> {
+    VALUES ?relation { so:linkedTo so:duplicateOf }
+    ?question a so:Question ; ?relation ?target .
+  }
+  GRAPH ?targetGraph {
+    ?target a so:Question ; so:hasTitle ?targetTitle .
+  }
+  FILTER (?targetGraph != <http://stackoverflow.com/elixir>)
+}
+LIMIT 25
+```
+The second query returns only targets with loaded descriptions and titles. A
+target can occur in several graphs through overlapping tag selections; this
+does not mean the source and target questions use different languages exclusively.
+## Uses and limitations
+The graph supports SPARQL analysis and retrieval over Stack Overflow discussions,
+including retrieval-augmented question answering. It represents the source
+snapshot; later edits and deletions on Stack Overflow are not reflected here.
+## Quality notes
+- Votes are represented as aggregated upvote and downvote counts. Individual
+  vote events and voter identities are not included.
+- The graph includes selected moderation-related fields, such as a question's
+  closure date, but does not represent the full moderation context or revision
+  history.
+- Community-generated Stack Overflow content can contain errors, outdated
+  information and bias. Changes in languages, libraries and development practices
+  can make advice less applicable over time.
+- Scores, accepted-answer status and recent activity are source signals; they
+  do not establish that an answer is correct or current.
+## License and attribution
+This dataset is derived from Stack Overflow content. Its declared dataset license
+is [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
+(`CC-BY-SA-4.0`). Preserve required attribution and license notices when
+redistributing derived artifacts, and identify changes where required.
+Individual source contributions retain their applicable license terms.
+[Stack Overflow's licensing guidance](https://stackoverflow.com/help/licensing)
+distinguishes CC BY-SA 2.5, 3.0 and 4.0 according to contribution date. A dataset-level
+license declaration does not replace those source notices. The graph preserves
+source-provided license labels in `so:contentLicense` where available. Consult the
+original posts and revision records for author attribution and applicable terms.
+The Hugging Face metadata declares `cc-by-sa-4.0`, consistent with the MDC
+publication. For dataset questions, use this repository's Community discussion
+page; source-post attribution and licensing remain attached to the original content.
 ## Citation
+If you use this dataset, cite the Stack2Graph project. The research citation
+accompanies the required attribution for the underlying Stack Overflow content.
+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](https://doi.org/10.63317/583q4d3mwbdu).
+## Export provenance
+These fingerprints identify the inputs and exporter used for this release.
+The export identity describes the build configuration and inputs; file checksums
+are listed separately in `publication.json`.
+| Component | Fingerprint |
+| --- | --- |
+| Export identity | `4d415cea2977835bf886c177f2bfc309a22738e145591f9c7ae4256e9bd086d5` |
+| Source snapshot identity | `56fe643952cec74b17ea13d91edc8ad95181326156177c94cce48d3fed9834b9` |
+| Language registry | `d2a7357c04e7f47d9bb598189aeeb7db0680d6b35f0d9695d8d2e544121afb8e` |
+| Ontology | `1fc4dc1cc73a1baeddc0e1d70dc22ab95962581c6b61eb895ddcc70956621153` |
+| Exporter | `8d9b9bac86b5e9c19bb0ce5af022e8a1ecd14c9f8e82e73169cbdb8455470422` |
+Source code and documentation: [stack2graph](https://github.com/tha-atlas/Stack2Graph).

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