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| "data/quads-21daac23104b13f039918b5936d27e182028525bb0189fde9208af4526379161-00000.parquet", |
| "data/quads-c97797ca8a867edf0da99c65d96c871fc51c9812b756625500c7ed2dd116d6f5-00000.parquet", |
| "data/quads-687a948c04b33ea15ad2203a91b9930d8038fdb52eb37d206f2a296c5e4ac934-00000.parquet", |
| "data/quads-ef3217c0d6c9bf55cbb5c5c9e35cac20cdd6f0745cc255dd55c7049624440168-00000.parquet", |
| "data/quads-83e0c6f0e980000a01fa3bc855cf8816ab64980b1d09c645eb7a7a2f406bdc64-00000.parquet", |
| "data/quads-cfceccc1d4ba51c0e52a0ceaab1a593e1b68f5f431d09c690a356cf4ba40a1f8-00000.parquet", |
| "data/quads-99b2fceffbc4392bb18fd5bf347d38281993b6133e93fc7a22cfea55264ba389-00000.parquet", |
| "data/quads-920a9959e6e5cc53d13a540d21891f2ff7809e4bb98def0722652c7659de6486-00000.parquet", |
| "data/quads-cd295698839908447e5a152f497415b3f08414963c75b5336a258ce265b7557e-00000.parquet", |
| "data/quads-a4aeb9c3ae6098d28304df3fe781df2e971186cb1a058f3331571fb3da6f503f-00000.parquet", |
| "data/quads-80bd3680f255eee1bc9caeac10b7dc51b37c51e714598370e9a8527f32f0b6e0-00000.parquet", |
| "data/quads-4e1773c0d9707a98fd0313cc2fa4dd80dda3545e29d6792bb7c8394d5e0ebcac-00000.parquet", |
| "data/quads-d8337ffb0de2646262a3d0d24cb8118b60a09e5520e4024a90d1e1bdcb07bfb2-00000.parquet", |
| "data/quads-c18664f7b03a9900d39171c6d95a656d44d56a3b2aa3c9b9ccbae8f706a701e5-00000.parquet", |
| "data/quads-290967e9162a7c3c17fda24fd96b290964180d33b8a0f60753723873a86070bf-00000.parquet", |
| "data/quads-beebbcdea34e3d17b21a3acbddf4fd73ffb45042912c354ad64ea4b96ead5e0a-00000.parquet", |
| "data/quads-333e80367df4267f92df4880263a91169143a72f9885a17ea24144717d18f16f-00000.parquet", |
| "data/quads-8e1dd47f1ea0bebc17c4102918fdad65a691119c978affbece09611485b912e1-00000.parquet", |
| "data/quads-0b76772a6db53908e0fbb6a571bf78669933f22cefc80f0e798a0eac3543b206-00000.parquet", |
| "data/quads-6ed50a88223a6fe980e1369aa4039eeff942e00a22b0529276d65051e59274f5-00000.parquet", |
| "data/quads-2f362f08ffbc2fb59bf1301b2a4f2b5fc55890dff781c326a9308ed525f52c41-00000.parquet", |
| "data/quads-571cc3c4832c2732741cace7bbe3fd736ecf2358dc430bfa42facb89e33404e1-00000.parquet", |
| "data/quads-4ba421ea162303b043057efc93aa4a8d29f751a34cfe5c4bf80e39cc9c061eca-00000.parquet", |
| "data/quads-8b10b27cef8d903ae1c9ec12ce7ebfe1e30b07424fce9cb20cd3f1898a61dd29-00000.parquet", |
| "data/quads-a0ddc677c8c3f50f78d9720998ef9ce2606a8d5efd19a3965e912401f0988413-00000.parquet", |
| "data/quads-dd2a00f26834312fff545d2776c4b5d53bac99b08f097d3b1a0f6c2e36501590-00000.parquet", |
| "data/quads-584dd6e4d671a6876311f81b4fc1602b85a4f037defc4af4aa2fbe92370e2b35-00000.parquet", |
| "data/quads-48e502a5122fdc130a2272f8acd73785bc2febdaacea6b2820e619538551b1af-00000.parquet", |
| "data/quads-7b3ebd85995fecc6d9a7b67ce35f79b8e5cf5975a9c7a9702d37b54969bba5e3-00000.parquet", |
| "data/quads-8e32793ef1f739e802a12b3fe8182bf2affa3b185dae885c76f3329fbfbc82b2-00000.parquet", |
| "data/quads-d783976eabf8407f92dd866fc500fbd38d5af37c9786de00f75112d8b5b44308-00000.parquet", |
| "data/quads-e40eac39da5cfdd4b184c7b3a37f4904110002816cbf757775d46ac15e0e8fb3-00000.parquet", |
| "data/quads-aea61017b494bb8c9dfcf1d001edbb07cc4da494912888b48376830349609040-00000.parquet", |
| "data/quads-fd53d7247814023420aeb9fddd8353289b0f35466ee5bc8702ff3f370452b9f2-00000.parquet", |
| "data/quads-75322aae39f92a349286674cf29e3ab9f1b4e6dc55fc534789be06637f7992c5-00000.parquet", |
| "data/quads-3aa1948a02ee25f6867a8173be700c9901849fb56f410a868a840bd74b43aa00-00000.parquet", |
| "data/quads-6c01def3889308f1e028f7b9c97e744a69aa2de9078c19a58ad38bc0c08fae56-00000.parquet", |
| "data/quads-1c73f893a306263055c76c528dc0aa33eaf87b15325ea07ddeaec212df333c07-00000.parquet", |
| "data/quads-a7c439267e7bef9ecb4385432775be4f367bdf439f42afb4798277ed64a56ff7-00000.parquet", |
| "data/quads-4ecfd1d28015d032ba7eae25147cce96bb0baa7c5e2dbbf7608d8e271cda26eb-00000.parquet", |
| "data/quads-9c8c75a6c64ac47785fc287308e6a424329e36ce997bf42d57355cea07e1be7e-00000.parquet", |
| "data/quads-be90c81c724faf7600db0241b75935a0fbfbc4323b85c70d15086b265a94cc0a-00000.parquet", |
| "data/quads-3c54ec905b99984723d9ca841d96a062fd2308f7bb47bba218da3a362bb90ea4-00000.parquet", |
| "data/quads-da8830bf37f52881c46c01221b6290a145377648a4cfe22a009b4efc7983c7d7-00000.parquet", |
| "data/quads-496032611652bcfb72cb27f49249717282689d89c1050afb879ca7621adf2267-00000.parquet", |
| "data/quads-d5dba094ff1429c5d4581c171bc03886c58d976cca82e6c5885945902babc141-00000.parquet", |
| "data/quads-36f3146dd222e392029bfa0acd01e868a6e671e9b1e207cdd6d3d23a8308e37a-00000.parquet", |
| "data/quads-490a8621a65ac55828e1a8ee60bf0a888de74abc92d02cb778cc472da2f28caa-00000.parquet", |
| "data/quads-22b06ba00d9b901cca43540771ab63e61dbfd54608918826fa9dc1c306ce74a5-00000.parquet", |
| "data/quads-74e3340f1b006e798bc13ae41e7eaff5b0ceb40ec7466c702939076bde2dca5c-00000.parquet", |
| "data/quads-ebe9a099be7392a41d930787995ab2201d123b12cca20451e3b75624754b2436-00000.parquet", |
| "data/quads-316ebf9cdccfd2a2c93439537e72405c510728d5cd67b97d461b457d75f55c2d-00000.parquet", |
| "data/quads-9162e1f889405dfca3ab848e3d078b32c659c90d14c4c0dab875bf9bc9e3b4bf-00000.parquet", |
| "data/quads-60d0ceb6ee7e07344cc4f72a19f6beba6317ecbf0ab5a8e48e482644ff4c177a-00000.parquet", |
| "data/quads-256e72487459781afaab83c0d1becd820fa85b323b27f578bfc8c165b167be7a-00000.parquet", |
| "data/quads-cdd3e15d3d2355664a3c9709cbb42901f57814ec8bbb257a055726d71dc971ed-00000.parquet", |
| "data/quads-08971846401eb0c0e7cae1e80ef52f81213d3ec9d265b79f1db1ecc7c4b3e913-00000.parquet", |
| "data/quads-bc02550c6440f7f128008b22c49bf737f933ee2ec888c46880eb595695a29603-00000.parquet", |
| "data/quads-791bba9eba71f9858ac96eae87bad8cdcf187240895b82d333e4ba209caf8ca2-00000.parquet", |
| "data/quads-fe7ebe25fbb500bfcb9d5a777f01f927c4aca64856944dd85e1d3bddd22131f2-00000.parquet", |
| "data/quads-5681dbc53a6ee2b70318e9bedc437a5a4429008ea09d354b583d6d07a5531e44-00000.parquet", |
| "data/quads-30a80f159207649ff05b7732ce0556286670b16915100a1d87bb6498788cccc7-00000.parquet", |
| "data/quads-845ed8ec77c700d3b24c743d0f93bc04a9755a1cfd83f35ebe079f9b164eaef8-00000.parquet", |
| "data/quads-5d9d43d552f6165a9607f60dbe514e38f006e9cd734e2c625eda1e0a128453c8-00000.parquet", |
| "data/quads-d173f5282cb996c383fe8a18251666219beacf099ab1ec3c97d169e92da71487-00000.parquet", |
| "data/quads-9ad96f458ab66bb6da27e6833dd45eacbfdeeb13ceb4f3528096469405d23f69-00000.parquet", |
| "data/quads-10292fdef57b3b12e86a853e0d4646b20751831d076a7b8b214bbd207969362d-00000.parquet", |
| "data/quads-9e99ff31be00159b68c394581933b7fa3e8541550726167905d758802fc48f2c-00000.parquet", |
| "data/quads-29e4b1abd05b4508146c7d3767637d444c6886059031da22f1b0a78632c39d4a-00000.parquet", |
| "data/quads-c2b44baa812a94309be9e90ebab810c6dddc4116396423feb876a8f66324b46b-00000.parquet", |
| "data/quads-da4b70ba18fcea1f31b3e8161aa1985ba6c0ae9eee4f809a8453f50f88e4b164-00000.parquet", |
| "data/quads-7960468202a376306f6c57beb78d044e8e392a1c0c9b15e1697576c43500495e-00000.parquet", |
| "data/quads-9871214a8684af75bee1d8803de16a0af96ef256d4350fabcf2f3d70c1db9159-00000.parquet", |
| "data/quads-0440cc612e3f8b8b513d0e5667fc2ab817c1032323d1b66c81ee59d3f3ba28ed-00000.parquet", |
| "data/quads-22717e57ce156e1071339a2e3d54cdcd135efc48fd958a880c99f6bd4d8c7f68-00000.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: Haskell", |
| "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: Haskell |
|
|
| This dataset contains Stack Overflow discussions selected by the `haskell` 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 | 18780053 | |
| | Named graphs | 41 | |
| | Stored RDF shard bytes | 4051243439 | |
| | 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/haskell`. 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` | 801 | 5,449,879 | 1,205,711,016 | |
| | `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. |
|
|
|  |
|
|
| 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/haskell` 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/haskell> { |
| ?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/haskell> { |
| 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/haskell>) |
| } |
| 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). |
|
|
