| --- |
| { |
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| "data/quads-8e0496ca8765c97d5eadbb48393544003fed0baadae7aba6ad832ee2bab8bb5a-00000.parquet", |
| "data/quads-d859de8def5ad5f17adf19d152d716ecf23b507be86023dcf59c964e50f4eebd-00000.parquet", |
| "data/quads-6b3ab4b551a52c767320b4d4bdd65aaa9b5aea497be87e7f6a12782eda08cfa7-00000.parquet", |
| "data/quads-b0e604f8aa15c9228d08e14628f95f7973fe4fc8be92fc8f90a0db9b3f70349c-00000.parquet", |
| "data/quads-236f73cc479f16c86434181d1fdfdabe05475f3ad4ff3bb036ed39a45f3e3845-00000.parquet", |
| "data/quads-e028e3d87fa52d507410553b7a2219fc64032054550000c5b2b2cd09569a21f5-00000.parquet", |
| "data/quads-29e54251ad74fa1baadad8b5b6e68074f844be56b8c5d5ddf5f9c6cdbe981c5b-00000.parquet", |
| "data/quads-a0ca14197898d3783bef9608601db836b556f906e0223143274ae24196cf5315-00000.parquet", |
| "data/quads-6716124806722ebafe5922235e9c95f30dfaa5e04891c71780821ecd541f993d-00000.parquet", |
| "data/quads-01d1f31bc78e1824afd6389e741818a889399466697358da419447416d3831af-00000.parquet", |
| "data/quads-41bbd7574b9463cf0248ed17889bdc54096c7bafa14df3bd23be12ce92bafd5a-00000.parquet", |
| "data/quads-0c8ec116bbe989d5a03aed96a98fc1fa76de4ec85db85cbd9f0e456948a340e5-00000.parquet", |
| "data/quads-d31b9e3eddc9aa331c3db62727eeea3ae2775628ef06777fbb3924ff798d3ffc-00000.parquet", |
| "data/quads-2ff75be3ffd806b5410fe0431b92fd503a7cae579f235ad2fe141d853fae16fc-00000.parquet", |
| "data/quads-aa3fc5e7e8cf1231d70bddfb03231d4e23fd537ba5dfc2f83668eafb9f22959d-00000.parquet", |
| "data/quads-0032f09a8e27a236d7b33c179532c2139f1716d53a871070ba6756218d5ab991-00000.parquet", |
| "data/quads-bc44974c4bd6d24b1026a078d8f1405fa274be55622d13c51165f747a6b66ffb-00000.parquet", |
| "data/quads-ebaa60e81618da18fa1dcd5e5bfffab794a3431c7c42c2f83abdb6225c44d5d5-00000.parquet", |
| "data/quads-60671269eef91ac7007b9942bb47b9ed0e4b3e545bc52fdbb22852284d671e8f-00000.parquet", |
| "data/quads-65b506cd2c9d6c9d09fd0e6ff38ab706bfd8c87f8484917148e5b67563fda66c-00000.parquet", |
| "data/quads-d43ab0e136a25fb3c50e847e282da7b9ec3b37a90710dd5eae13d804f1498128-00000.parquet", |
| "data/quads-6a5f8741584e0f4bdac9ccb6004d7b3141ac5373d07e4f789af940f76c051c4f-00000.parquet", |
| "data/quads-3417345566afdcd19eaa5c0085eb4e8b2cb19f13203f29d0f9452e4b14089764-00000.parquet", |
| "data/quads-25b7e0dcb3d7b75a95525d5a7789c660978003ad7d13d0eeef4cdd1fac2d3974-00000.parquet", |
| "data/quads-8ebed6da0dcb9ca409c710a714d1ee777caa3ad9596d224adba3e40799d61611-00000.parquet", |
| "data/quads-c330ad49c6d2485797bcbac668f2ed4df492dad16c833cab2b761e90329dc912-00000.parquet", |
| "data/quads-3b60e2a8065583afc833420bf8eb9bdaa789e23064a1f1cf9c40e81a9a88acf1-00000.parquet", |
| "data/quads-82f646002e253dd9c3c8c822fe337e7f2198f1b7a3debd7400e78f5b994f225f-00000.parquet", |
| "data/quads-6c61ab99fafaee9c59f26e5d92552f788f2d0e40f4ec26208561804d0d6a5b93-00000.parquet", |
| "data/quads-63c7d9960e907818889e2c3ab154c1a476d9b950114e2d48c978627c3f87f140-00000.parquet", |
| "data/quads-6420b73e0335bcdf9b4d044e220b95a5e470a116ee9d26f7bf7f329b3a9214f2-00000.parquet", |
| "data/quads-890f39d24563401d709dc1ad0cb81a5c272ea7f01bd64c52188fd4c6f206b1ab-00000.parquet", |
| "data/quads-f63d440c7e5dbd3e9f7e5f6c08235a96f3c21bd0fc6aaf79dc94dc60e0e84827-00000.parquet", |
| "data/quads-935257d3e2cedef130ef41dff8e97bf18601c6ea170fe24fe96451d5bd398afb-00000.parquet", |
| "data/quads-44d41115917cc389c01b33074c095c3c244d4eb9e7b102c4e023fab51842aa88-00000.parquet", |
| "data/quads-c502e47a76edbfb9ba23130d9f7e34ff23f5973a2ef84c3de47b54bd75c13804-00000.parquet", |
| "data/quads-8c2fe18f07c5ee10dc7341db52470f2b839844d34e9ca5834743c4b81e2692c2-00000.parquet", |
| "data/quads-7317bdd48acc1d744f2d07a5934f87cece3801e89c9f34c362d0eb0886127c2a-00000.parquet", |
| "data/quads-f88f63d7155804b68eb88dbdaa0017aeed1fa0fe312cb892b40c2b131fae4e73-00000.parquet", |
| "data/quads-42e4156d62c905fc11b272784d29d91d8051d2f335eea126581a8fa4c415a09b-00000.parquet", |
| "data/quads-cf6a92e19314b543ca4946f8fb49e94fdccf7e16fc2b1d0ecea4905a2ea3930c-00000.parquet", |
| "data/quads-e20c91fa2ca1f42e4cffbc1c8b16fed7c157a4e5dfaff76627e97f1bbab4d70f-00000.parquet", |
| "data/quads-ed59f53f7edc5e1252896f14fb868f067234fdd8cf0aeaae97f73ef3eaafa966-00000.parquet", |
| "data/quads-96a39cef6a2e771302ec4b9eb556213aac077c22563c22f3e8adf6892ac8e2ba-00000.parquet", |
| "data/quads-c3f507ce05e683482493ba33510ee16e16a599bb8a89e3d65969b927eeb8a9e3-00000.parquet", |
| "data/quads-61451c9129c2052bd5424bfd3d9c798670e0d36faee6d8574558ff89b6b988ac-00000.parquet", |
| "data/quads-88404e914d00445e28e869982abac600b941df6029b911e34e77643889545ed0-00000.parquet", |
| "data/quads-0a6a3dcec2aefb4e401158a993ad64da948c7b0b9af76fbc3989bf84b28aa8a8-00000.parquet", |
| "data/quads-1523e6821951b560a184ad70a7b10f930f8304075d67559e07f8e84386a10163-00000.parquet", |
| "data/quads-a55d11d8b355b15c6947415e0a22b6669a686c4a28759330914fc3c81333ed57-00000.parquet", |
| "data/quads-001966d0a95bfe4d372e019f5c544472a05adf79c861129d6f07c98782f266ab-00000.parquet", |
| "data/quads-f94779ab995e8a48a5cb9f560016425e1cad0eac7e0a461c591c2032cd3290be-00000.parquet", |
| "data/quads-81c2de445e8d131ccd16a73f75f4c5cbd4a9f73d444f96166e4f2ab12a68e7df-00000.parquet", |
| "data/quads-764b0c207e89d874f8fbb816095bbc4f4ddd78eb4578974acd7e17a53f4b5402-00000.parquet", |
| "data/quads-e93c462d196b3020ee93e84d98c29da879f4e5b1143cb3fa0c96dfd1cddd841b-00000.parquet", |
| "data/quads-de0cc771c22061c58c48ef8ffed955449a21d3bdf4725199ee4dc499de9ed168-00000.parquet", |
| "data/quads-547edbe5db6499dbca46cb233485a4deb07c20ee4f9a345a4c2a9f2f45675970-00000.parquet", |
| "data/quads-9825561f402d9df87a48b38c9d513dfe8876db83cdb3b9d0f524d40a11e8c135-00000.parquet", |
| "data/quads-812de6f115d8d02501ae3c014f6d3815e2035a38b93eb770baab87663ca3ab90-00000.parquet", |
| "data/quads-001d0313c71f4f01949aa292f588949d6303e9b95e2ef98fd12b9f8de45d8669-00000.parquet", |
| "data/quads-93db768dcc265e00f12e0b0f4417174b1435e68a937c85d8b6e57396a0a444b9-00000.parquet", |
| "data/quads-805cc425196b9326fbfb2158f745b6ee512cc229f089a1f1c739915679058ac9-00000.parquet", |
| "data/quads-24b2daaa2f2aecb19da43291fd449f30f3a5502a04f155577856e1bcf1bd4348-00000.parquet", |
| "data/quads-b7b469323de3972cfe8d540e6c10af6816a723a452f0636ed15265261e0265d1-00000.parquet", |
| "data/quads-7c167e5f62ab4ae5db0cefeb933812faab2192bec2da009c45ee1ddccc7f3ec4-00000.parquet", |
| "data/quads-9ad40ec843f7afa9962dae0dc88427e1595c306a83fc574ed12a363c286712a6-00000.parquet", |
| "data/quads-17e2876cad52f4c0224c5a3940cd8fe8e43385c0d11a5d3d9610d708170ccd16-00000.parquet", |
| "data/quads-1fba89826177f85e7c4445415b1b6b9f7d88323c18033c7f1f16d637bb337875-00000.parquet", |
| "data/quads-9104de0af04000f97e9f8dcf24a0b017cbaa05b13ba78bce608e7aa28e7b95a1-00000.parquet", |
| "data/quads-5de9cda9b7bafdcfd25e25012e5bf0829aa565d280eb85d674ae2e41e2851d04-00000.parquet", |
| "data/quads-c1063ea5d4c9227577fcd6ee067a828894a932a59e8bce24d0acd50c31d3d554-00000.parquet", |
| "data/quads-11ede5036675e6756acb098a84d656b9fa1ba4f3e1f90943a421448979250a13-00000.parquet", |
| "data/quads-613b0a5960b77d01321503557df6dd297427cd0fe06b929331f429491ed8cd1b-00000.parquet", |
| "data/quads-5bbe9ea369ee4dc6ce8083638ed113e4f47f8f8d2ab0a66d1b1191dd4f6c86cc-00000.parquet", |
| "data/quads-35a11c509dcd3bd072e5507cd702268c8dcd2c1fcd76507cc1a127a5477bb3b6-00000.parquet", |
| "data/quads-eaf3c4a8a6a80bfcedce82ba90f6dea5a31eb133e5d978f02f29279e49ae599a-00000.parquet", |
| "data/quads-b1771db8655d45d4e344253aa9c2c244432abed4bf8d4c8bd20e6b936608a8b2-00000.parquet", |
| "data/quads-21a5d68d190d6626176d2a2c11767942cd816961b0f8db47b7d79238442e5487-00000.parquet", |
| "data/quads-b4c8be1452dc551903e09e0a07db71f1ec85a35b131a1cb238303a8c656c7e6d-00000.parquet", |
| "data/quads-21ac094a786e7aabe424366aaec43e75eba628704b334f815b878dbd66d7d3f5-00000.parquet", |
| "data/quads-8b73abd4af980d64c333cad091b043c641181b6b98c8a00e9c63de6fdb7724f9-00000.parquet", |
| "data/quads-ca69bb31d76f518b3cdb2434d2a197958be7f490a8e5b6ce51d096647de17130-00000.parquet", |
| "data/quads-ac99b642f9c180c190737e23b12c48c6bb2eb2586961def1e89f12672be5191c-00000.parquet", |
| "data/quads-4703559c7c1764eaf7eef41e23e61723c08d26cf72f976f1d9deb03a42263dea-00000.parquet", |
| "data/quads-e4ff5553dfe95cde1d981fe71d8d58143a53b5da5ecd563e94a93c25fe3ef75c-00000.parquet", |
| "data/quads-9938ccb984516fe6b9da9f4f85f9a4e8615601c54cc418ae662f97f3a37370d8-00000.parquet", |
| "data/quads-16f4a430f5ac92a6ac88f713fabea33e7e93c4f216c80466e2649bee8385cedb-00000.parquet", |
| "data/quads-d8cdc98f8f0e4431866e32cabdf95244a41058bb82339c955265f16fa2a86372-00000.parquet", |
| "data/quads-45765aca32dc1b36642b849022f3b17fa4aec87ae6609a2118fd2aa366c8fb4e-00000.parquet", |
| "data/quads-32bf560b475dba2bb44623a4e2ae23286dac64934375b634683affd6a05dcf01-00000.parquet", |
| "data/quads-0be73ec8758a7b173042b748b32ecb24fde3c1f6d354f2748089c2560ea74bcc-00000.parquet", |
| "data/quads-2552fc8909ecd262c2e289ab5f2485d14c0054b411f7f21b8b0d2e7146eb439e-00000.parquet", |
| "data/quads-c669adcac7081ced5ad130c9ab2f7582facdb3466c4947e7e51225b4225c22fc-00000.parquet", |
| "data/quads-affdff8ec009bf4ea5057e18997c5ff32181031d7f548e7acda3729612cd4bbf-00000.parquet", |
| "data/quads-8db7115792a7bd5f1982b50f91e146b63d5edd3d8ea30611555affccf5b48215-00000.parquet", |
| "data/quads-40e1bce4969fc8bd92aac147b5544d61436835fb5cfab623e806f42b95986fb4-00000.parquet", |
| "data/quads-6a96cd5ec4290a1ae8c64714f9cea3aa9ec111b1d5f3ad33c1ecaee5ea08c24f-00000.parquet", |
| "data/quads-5b078db89788b990048554d3dbce163484ad0285b2029762cc56f8d7c8825414-00000.parquet", |
| "data/quads-bf3271fba4c136a4e34c1b9f206a6aa724acd86c6bfd0bf7b4de311b72723431-00000.parquet", |
| "data/quads-149d41b9197fc0d760eb838aa4254b11a37c28b0bc67120c181c3f4bbbad8d80-00000.parquet", |
| "data/quads-5816cb05fbeed927ad28d09c6a2f6600b4a117ba46c1db6ebc04301740708585-00000.parquet", |
| "data/quads-0107cf474ca8673622801df75e162fc91c0b5e1f39f031c116419990df1d96c1-00000.parquet", |
| "data/quads-0817458f5fa0f6a5f684225fc036fcf44a7d784b1d4b8eb31f02f85bb7a68490-00000.parquet", |
| "data/quads-0279cdb7a3f1aae47e44e9d200ecdc95857f6d24f545835a133a4b133642475b-00000.parquet", |
| "data/quads-cf16ec7208f3e001cbb9408ec8071a683019ef021f19282eae8a9e5752253f4a-00000.parquet", |
| "data/quads-4b2579e21b794e75cbc503ab614edbd47b1c4f866facd0a4e26e59b1a4523a42-00000.parquet", |
| "data/quads-2e2f20cdf4d5712222e97ca76c95f4dfc99ef2495e7bef8c26e972bbe0fd3f1e-00000.parquet" |
| ], |
| "split": "train" |
| } |
| ] |
| } |
| ], |
| "license": "cc-by-sa-4.0", |
| "pretty_name": "Stack Overflow knowledge graph: VB.NET", |
| "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: VB.NET |
|
|
| This dataset contains Stack Overflow discussions selected by the `vb.net` 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 | 848 | |
| | Quads across all included shards | 26583726 | |
| | Named graphs | 41 | |
| | Stored RDF shard bytes | 5697431056 | |
| | 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/vb.net`. 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` | 1 | 53,770 | 13,214,613 | |
| | `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` | 801 | 13,404,746 | 2,883,293,368 | |
|
|
| 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. |
|
|
|  |
|
|
| 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/vb.net` 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/vb.net> { |
| ?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/vb.net> { |
| 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/vb.net>) |
| } |
| 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). |
|
|
