Datasets:
license: cc-by-sa-4.0
language:
- en
pretty_name: wikiparse 2606
tags:
- wikipedia
- citations
- bibliometrics
- data-quality
configs:
- config_name: refs
data_files:
- split: train
path: data/refs/0000.parquet
- config_name: articles
data_files:
- split: train
path: data/articles/0000.parquet
- config_name: categories
data_files:
- split: train
path: data/categories/0000.parquet
- config_name: publishers
data_files:
- split: train
path: data/publishers/0000.parquet
- config_name: templates
data_files:
- split: train
path: data/templates/0000.parquet
- config_name: clusters
data_files:
- split: train
path: data/clusters/0000.parquet
- config_name: streams
data_files:
- split: train
path: data/streams/0000.parquet
- config_name: disambig-nodes
data_files:
- split: train
path: data/disambig-nodes/0000.parquet
- config_name: disambig-links
data_files:
- split: train
path: data/disambig-links/0000.parquet
- config_name: redirects
data_files:
- split: train
path: data/redirects/0000.parquet
wikiparse 2606
Ten Parquet tables derived from the English Wikipedia 2026-06-01 dump. The useful unit here is a table, not a monolithic corpus download: each config has one grain, one schema, one checksum, and one job it is reasonably good at.
Tables
| Config | Rows | What it is good for |
|---|---|---|
refs |
256,564 | Raw ref and cite syntax counts by multistream member. |
articles |
5,135,607 | Article-level citation counts and parser-quality signals. |
categories |
529,402 | Category-level article and citation aggregates. |
publishers |
20,000 | A bounded publisher-string projection with quality coordinates. |
templates |
37 | Citation-template families by parser outcome. |
clusters |
1,511,504 | Exact-signature citation clusters for deterministic repair work. |
streams |
256,564 | Per-stream custody and citation-spine coverage signals. |
disambig-nodes |
310,529 | Typed disambiguation nodes with explicit relation status. |
disambig-links |
723,486 | Heuristic disambiguation-title candidate links. |
redirects |
11,894,129 | Redirect edges with target-existence and disambiguation flags. |
Context delivery
The public wikiparse-2606-data bucket
holds the larger, mutable delivery surface. The dataset repo remains the smaller, versioned
catalog.
| Priority | Articles | Intended use |
|---|---|---|
p0 |
908,270 | Science closure and taxa; first-pass research context. |
p1 |
4,665,480 | General retained articles. |
p2 |
1,208,553 | Useful secondary context such as settlements, films, music releases, and sports people. |
p3 |
291,274 | Serial/incidental context such as lists, sports seasons, and disambiguation pages. |
These four labels are mutually exclusive delivery hints, not quality judgments or exclusion authority. The index preserves categories and detector signals so consumers can write a better policy. Article-content shards are copied from the existing compact corpus; they do not rerun the parser.
Content v1 has 7,073,577 rows in 1,003 disjoint shards (18,248,540,799 payload bytes).
context/content/v1/manifest.json has SHA-256 f3de8e5b6c4f0a2d26f5f17d27a915b6964c16c69707a38de24af7d6647569c6;
the publication receipt has SHA-256 71bb9b65bab44d6b9237a0b6da400a653f547d420fdcae4e4172a9818f12147e.
Analysis
5 small, source-bound cards summarize the least ambiguous observations:
What this is not
- Parser signals such as
suspectare operational labels, not adjudicated truth. - Category counts overlap. Do not read their sums as distinct population totals.
- Disambiguation links are heuristic candidates; they are not an authoritative taxonomy.
- Citation records are article-level and deduplicated. They are not inline claim markers.
- This is a technical milestone, not a paper, benchmark leaderboard, or announcement.
Provenance
Every public payload is byte-identical to a reviewed local object. provenance.json
binds the two reviewed source inventories, each public file, its row count, and its
Arrow schema. checksums.sha256 covers the complete public tree.
Parser and release tooling: https://gitlab.com/doering-ai/apps/wikiparse
License
The data is derived from English Wikipedia and is distributed under
CC BY-SA 4.0.
See LICENSE.md for attribution and modification notes.