Vasily Alexeev commited on
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948d003
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1 Parent(s): bb08b33

add info, add jsonl in lfs

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  1. .gitattributes +2 -0
  2. README.md +260 -1
.gitattributes CHANGED
@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ *.jsonl filter=lfs diff=lfs merge=lfs -text
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+ *.jsonl.gz filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,262 @@
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  ---
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- license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - ru
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+ license: cc-by-sa-4.0
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+ pretty_name: Russian Wikipedia quality articles with subjects (20261001)
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+ configs:
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+ - config_name: articles
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+ default: true
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+ data_files:
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+ - split: corpus
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+ path: data/articles.jsonl.gz
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+ - config_name: topics
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+ data_files:
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+ - split: corpus
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+ path: data/topics.jsonl.gz
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  ---
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+
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+ # Russian Wikipedia quality articles with subjects — 20261001
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+
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+ This Russian-language collection contains **17,251 Wikipedia articles**
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+ with at least one subject label from a fixed taxonomy of **28 subjects**.
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+ It is selected from the **17,413 articles** in
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+ [Russian Wikipedia quality articles](https://huggingface.co/datasets/TopicNet/RuWiki-Good-2026-V2),
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+ based on the **20261001** dump. Each article retains the original title, readable
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+ text, wikitext, direct categories, community quality status and revision links,
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+ and adds a `topics` list. The `topics` configuration supplies the complete subject
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+ definitions. The full category catalog remains in the source collection.
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+
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+ ## Selection and subject labels
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+
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+ The source includes namespace-0 articles with active recommended (Добротные),
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+ good (Хорошие) or featured (Избранные) community status. Redirects and
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+ disambiguation pages are excluded. Multiple active statuses are retained;
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+ former-status categories are recorded separately. These are editorial
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+ designations at the snapshot date, not independent factual checks.
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+
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+ Subject assignment combines mappings from specific direct editorial rubrics
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+ with AI-assisted review of ambiguous rubrics using direct subject categories and,
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+ where needed, excerpts from the saved readable text. Mixed editorial rubrics
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+ identify possible subjects; they do not assign all those subjects simultaneously.
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+ Category ancestry is not propagated. Category mappings are assessed against the
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+ subject definitions: a category name being present does not by itself establish
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+ a narrow subject, and an interdisciplinary regional-studies category does not
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+ automatically establish language scholarship. Incidental mentions, birthplaces, awards,
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+ party membership or education alone do not establish a subject. Labels already
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+ supported by specific rubrics are retained unless there is explicit contrary
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+ evidence.
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+
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+ Labels are **partial** and were curated with AI assistance; they are not
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+ exhaustive annotation or a human gold standard. Category interpretation may be
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+ wrong, and relevant subjects may have been missed. Text review was limited to
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+ selected passages where categories needed clarification; articles were not read
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+ in full. A missing label is not evidence that the article lacks that subject.
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+ Multiple labels are allowed when each has support. Articles are included when
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+ their subject list is nonempty: **162 source articles** have no assigned subject label and are
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+ omitted. No coverage quota, topic balancing or maximum label count was used.
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+ Subject frequencies and intersections are consequently uneven.
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+
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+ There is no NLP preprocessing, model scoring or research train/test split in this
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+ package. The `corpus` split is a storage partition. Source text has not been
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+ shortened or rewritten for subject selection. No exact duplicate source text was
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+ removed. This collection is not a representative sample of Russian writing.
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+
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+ ## Loading
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+
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+ Both configurations use compressed JSON Lines and require no dataset script.
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ articles = load_dataset(
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+ "TopicNet/RuWiki-Good-2026-V2-Selected", "articles", split="corpus"
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+ )
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+ topics = load_dataset(
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+ "TopicNet/RuWiki-Good-2026-V2-Selected", "topics", split="corpus"
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+ )
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+ print(len(articles)) # 17251
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+ print(len(topics)) # 28
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+ ```
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+
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+ From a downloaded repository, use its local directory with the same two config
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+ names, or load the files directly:
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+
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+ ```python
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+ articles = load_dataset(
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+ "json", data_files={"corpus": "data/articles.jsonl.gz"}, split="corpus"
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+ )
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+ topics = load_dataset(
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+ "json", data_files={"corpus": "data/topics.jsonl.gz"}, split="corpus"
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+ )
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+ ```
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+
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+ ## Article fields
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+
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+
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+ | Field | JSON type | Meaning |
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+ | --- | --- | --- |
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+ | `id` | string | Stable page identity, `ruwiki/<page_id>`. |
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+ | `page_id` | integer | Russian Wikipedia page ID. |
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+ | `title` | string | Article title with spaces, separate from the text. |
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+ | `wikitext` | string | XML-decoded revision wikitext. |
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+ | `raw_text` | string | Readable text extracted from `wikitext`; not rendered HTML. |
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+ | `wikitext_sha256` | string | SHA-256 of UTF-8 encoded `wikitext`. |
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+ | `raw_text_sha256` | string | SHA-256 of UTF-8 encoded `raw_text`. |
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+ | `quality_statuses` | array of strings | Active `recommended`, `good` and/or `featured` statuses from SQL. |
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+ | `former_quality_categories` | array of strings | Direct former-status category names from SQL; may be empty. |
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+ | `categories` | array of strings | All direct SQL category names, including maintenance categories. |
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+ | `wikidata_id` | string or null | Wikidata QID from SQL page properties, when available. |
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+ | `revision_id` | integer | Content revision ID from XML. |
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+ | `revision_timestamp` | string | XML revision timestamp in UTC, such as `2026-09-26T22:17:57Z`. |
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+ | `metadata_revision_id` | integer | SQL page revision ID; may differ from `revision_id`. |
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+ | `page_url` | string | Page-ID URL for the source page and access to its history. |
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+ | `revision_url` | string | Permanent URL for the content revision. |
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+ | `topics` | array of strings | Sorted unique subject slugs; at least one in every retained article. |
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+
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+ The source fields are preserved exactly; only `topics` is added. The table describes the stored JSON types. Hugging Face Datasets 5.0.0 infers
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+ `revision_timestamp` as `timestamp[s]` and `former_quality_categories` as
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+ `List(null)` for this release, whose former-status lists are empty. Nullable
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+ scalar fields remain nullable when loaded.
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+
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+ For example, the following is an actual record projected onto a few fields (the
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+ text and remaining fields are omitted here):
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+
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+ ```json
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+ {
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+ "id": "ruwiki/21",
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+ "page_id": 21,
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+ "title": "Социология",
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+ "quality_statuses": [
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+ "featured"
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+ ],
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+ "wikidata_id": "Q21201",
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+ "revision_id": 155304860,
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+ "metadata_revision_id": 155304860,
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+ "revision_timestamp": "2026-09-26T22:17:57Z",
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+ "page_url": "https://ru.wikipedia.org/?curid=21",
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+ "revision_url": "https://ru.wikipedia.org/w/index.php?oldid=155304860",
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+ "topics": [
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+ "social-sciences-education"
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+ ]
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+ }
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+ ```
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+
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+ ## Topic fields and distribution
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+
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+ Each topic record contains the definition used to assign that subject. Join article
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+ `topics` entries to topic `slug`.
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+
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+ | Field | JSON type | Meaning |
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+ | --- | --- | --- |
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+ | `slug` | string | Stable subject identifier used in article `topics`. |
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+ | `name_en` | string | English subject name. |
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+ | `name_ru` | string | Russian subject name. |
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+ | `definition_and_boundaries` | string | Russian definition and boundaries between subjects. |
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+
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+ Counts overlap because an article may have several subjects.
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+
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+ | Subject | Slug | Articles |
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+ | --- | --- | ---: |
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+ | Mathematics and statistics | `mathematics` | 158 |
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+ | Physics | `physics` | 220 |
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+ | Chemistry | `chemistry` | 132 |
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+ | Astronomy and space | `astronomy-space` | 283 |
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+ | Earth science | `earth-science` | 63 |
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+ | Geography and places | `geography` | 767 |
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+ | Biology | `biology` | 1,370 |
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+ | Medicine and health | `health` | 207 |
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+ | Environment and agriculture | `environment-agriculture` | 87 |
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+ | History and archaeology | `history-archaeology` | 4,177 |
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+ | Military affairs and security | `military-security` | 2,332 |
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+ | Politics and law | `politics-law` | 1,140 |
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+ | Economics and business | `economy-business` | 254 |
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+ | Philosophy | `philosophy` | 108 |
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+ | Religion and mythology | `religion-mythology` | 814 |
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+ | Language and linguistics | `language` | 264 |
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+ | Literature | `literature` | 1,132 |
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+ | Visual and performing arts | `visual-performing-arts` | 755 |
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+ | Architecture and structures | `architecture` | 428 |
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+ | Film, television and animation | `film-television-animation` | 850 |
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+ | Music | `music` | 952 |
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+ | Games | `games` | 784 |
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+ | Sport | `sport` | 754 |
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+ | Media and communication | `media-communication` | 123 |
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+ | Food and gastronomy | `food` | 92 |
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+ | Technology and industry | `technology` | 356 |
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+ | Transport | `transport` | 376 |
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+ | Society and education | `social-sciences-education` | 254 |
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+
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+ | Subjects per article | Articles |
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+ | ---: | ---: |
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+ | 1 | 15,599 |
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+ | 2 | 1,400 |
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+ | 3 | 197 |
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+ | 4 | 38 |
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+ | 5 | 13 |
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+ | 6 | 3 |
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+ | 7 | 1 |
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+
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+ ## Sources and revision semantics
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+
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+
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+ The source is the [Russian Wikipedia 20261001 dump](https://dumps.wikimedia.org/ruwiki/20261001/).
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+ The exact source files are listed below with their SHA-256 digests. Dump mirrors
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+ may later remove this dated snapshot; the filenames and digests identify the
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+ inputs independently of their continued availability.
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+
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+ | File | SHA-256 |
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+ | --- | --- |
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+ | `ruwiki-20261001-page.sql.gz` | `24250cca6122fff02896a1ced0a85b7afa4d6be00fa119c169a5eeef3fbe5830` |
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+ | `ruwiki-20261001-page_props.sql.gz` | `fc9d5aeaf3487d932b82d18a16bc96f0e4e4702e1149cbbdc482eb509f6deb60` |
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+ | `ruwiki-20261001-categorylinks.sql.gz` | `1ecb32ffaff28a120b6a8f4297d4b228b65c49beb593eae022b5811ae41512e1` |
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+ | `ruwiki-20261001-linktarget.sql.gz` | `bc1f24b7b8eb06298cbe70fdfb010ec023586d05bd2d3403ba2370091e1edc4a` |
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+ | `ruwiki-20261001-pages-articles-multistream.xml.bz2` | `c22b6441176d2bc572ed6883abc6292fe168efca211f6cdd61d8772a78492a1b` |
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+ | `ruwiki-20261001-pages-articles-multistream-index.txt.bz2` | `17c6a4cebb90ecb2b0f881e04aa3b49356bd6ee6add802a7201b9ca1a9b093e3` |
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+
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+ SQL provides selection, titles, page properties and category relationships. XML
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+ provides article content, `revision_id` and `revision_timestamp`. In the 17,413-article source collection, **11 articles**
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+ have differing SQL and XML revision IDs; the metadata and content should not be
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+ assumed to describe one atomic revision. Use `revision_url` to identify the exact
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+ text revision, and retain both IDs when recording provenance. Live pages and
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+ categories can differ from this snapshot.
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+
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+ Readable extraction uses `mwparserfromhell` 0.7.2 and deterministic markup cleanup.
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+ It does not render Wikipedia or expand templates fully. Templates, infoboxes,
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+ tables, references, captions, formulae and formatting may be removed or simplified;
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+ fragments of markup or awkward text may remain. `wikitext` is retained so readers
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+ can inspect these losses or apply a different extraction procedure. Neither
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+ `raw_text` nor the category metadata is a manually corrected annotation.
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+
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+ ## Attribution, license and use
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+
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+
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+ Article text and wikitext are attributed to **Russian Wikipedia contributors**
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+ and distributed under [Creative Commons Attribution-ShareAlike 4.0](https://creativecommons.org/licenses/by-sa/4.0/).
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+ Each record's `revision_url` identifies the revision used; `page_url` provides
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+ access to the page and its edit history for contributor attribution. Follow
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+ attribution and share-alike requirements when redistributing text or adaptations,
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+ identify your changes, and preserve appropriate source links. Wikipedia can
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+ contain quotations or other third-party material with additional terms. Wikidata
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+ identifiers refer to [Wikidata](https://www.wikidata.org/wiki/Wikidata:Licensing),
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+ whose structured data is available under CC0; their presence does not change the
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+ license of the article text. Images and other media binaries are not included.
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+
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+ Potential uses include Russian text analysis, inspection of markup extraction and
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+ research on Wikipedia editorial metadata or category relationships. This is a
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+ small, editorially selected portion of Russian Wikipedia, not a representative
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+ sample of Russian writing or an evenly balanced subject collection. Quality
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+ status does not guarantee accuracy, neutrality, completeness or suitability for
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+ any downstream application. Articles can contain sensitive, biased, outdated or
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+ offensive material. The partial subject labels described here do not establish a complete reference
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+ annotation. Downstream preprocessing, deduplication policy and research splits
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+ must be specified separately.
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+
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+ ## Published file identity
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+
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+ | File | Compressed bytes | SHA-256 |
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+ | --- | ---: | --- |
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+ | `data/articles.jsonl.gz` | 413,342,335 | `9eb7efffe99fc7c9bc3f4b3eb9f0378d91f387081f97cf9abea9c1686797c1ed` |
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+ | `data/topics.jsonl.gz` | 2,671 | `c8cf602a924f18255e155cdcaa9357907461851e849113c72051c2b89484f22c` |
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+
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+ The source article payload SHA-256 is
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+ `c51f9b6bee4c85f25ffb861060f52490a9276bae289d2aa2db7e0d10e2dda950`.