diff --git a/README.md b/README.md
index 64f700ca399989bb82a218fa7c3eb87f00129e54..674d9c1f5e3f258ec2bbb1a6ec637a00e03da454 100644
--- a/README.md
+++ b/README.md
@@ -1,876 +1,32 @@
 ---
-license:
-  - cc-by-sa-4.0
-  - gfdl
-size_categories:
-  - 1M<n<10M
-task_ids:
-  - language-modeling
-  - masked-language-modeling
 language:
-- en
-- fr
+  - en
+  - fr
+pretty_name: Wikimedia Structured Contents Dataset
 tags:
-  - wikimedia
   - wikipedia
+  - wikimedia
+  - structured-data
+  - parquet
+  - knowledge-base
+  - references
+  - citations
+  - tables
+  - multilingual
 configs:
-- config_name: 20240916.en
-  data_files:
-  - split: train
-    path: 20240916.en/enwiki_*
-- config_name: 20240916.fr
-  data_files:
-  - split: train
-    path: 20240916.fr/frwiki_*
-dataset_info:
-- config_name: 20240916.en
-  features:
-  - name: name
-    dtype: string
-  - name: identifier
-    dtype: int64
-  - name: abstract
-    dtype: string
-  - name: version
-    struct:
-    - name: identifier
-      dtype: int64
-    - name: comment
-      dtype: string
-    - name: tags
-      sequence: string
-    - name: is_minor_edit
-      dtype: bool
-    - name: is_flagged_stable
-      dtype: bool
-    - name: has_tag_needs_citation
-      dtype: bool
-    - name: scores
-      struct:
-      - name: damaging
-        struct:
-        - name: prediction
-          dtype: bool
-        - name: probability
-          struct:
-          - name: 'false'
-            dtype: float64
-          - name: 'true'
-            dtype: float64
-      - name: goodfaith
-        struct:
-        - name: prediction
-          dtype: bool
-        - name: probability
-          struct:
-          - name: 'false'
-            dtype: float64
-          - name: 'true'
-            dtype: float64
-      - name: revertrisk
-        struct:
-        - name: prediction
-          dtype: bool
-        - name: probability
-          struct:
-          - name: 'false'
-            dtype: float64
-          - name: 'true'
-            dtype: float64
-    - name: editor
-      struct:
-      - name: identifier
-        dtype: int64
-      - name: name
-        dtype: string
-      - name: edit_count
-        dtype: int64
-      - name: groups
-        sequence: string
-      - name: is_bot
-        dtype: bool
-      - name: is_anonymous
-        dtype: bool
-      - name: is_admin
-        dtype: bool
-      - name: is_patroller
-        dtype: bool
-      - name: has_advanced_rights
-        dtype: bool
-      - name: date_started
-        dtype: string
-    - name: number_of_characters
-      dtype: int64
-    - name: size
-      struct:
-      - name: value
-        dtype: float64
-      - name: unit_text
-        dtype: string
-    - name: event
-      struct:
-      - name: identifier
-        dtype: string
-      - name: type
-        dtype: string
-      - name: date_created
-        dtype: string
-    - name: is_breaking_news
-      dtype: bool
-    - name: noindex
-      dtype: bool
-    - name: maintenance_tags
-      struct:
-      - name: citation_needed_count
-        dtype: int64
-      - name: pov_count
-        dtype: int64
-      - name: clarification_needed_count
-        dtype: int64
-      - name: update_count
-        dtype: int64
-  - name: event
-    struct:
-    - name: identifier
-      dtype: string
-    - name: type
-      dtype: string
-    - name: date_created
-      dtype: string
-    - name: date_published
-      dtype: string
-  - name: url
-    dtype: string
-  - name: date_created
-    dtype: string
-  - name: date_modified
-    dtype: string
-  - name: is_part_of
-    struct:
-    - name: name
-      dtype: string
-    - name: identifier
-      dtype: string
-    - name: url
-      dtype: string
-    - name: version
-      dtype: string
-    - name: additional_type
-      dtype: string
-    - name: code
-      dtype: string
-    - name: namespace
-      struct:
-      - name: name
-        dtype: string
-      - name: identifier
-        dtype: int64
-      - name: alternate_name
-        dtype: string
-      - name: description
-        dtype: string
-      - name: event
-        struct:
-        - name: identifier
-          dtype: string
-        - name: type
-          dtype: string
-        - name: date_created
-          dtype: string
-    - name: date_modified
-      dtype: string
-    - name: in_language
-      struct:
-      - name: identifier
-        dtype: string
-      - name: name
-        dtype: string
-      - name: alternate_name
-        dtype: string
-      - name: direction
-        dtype: string
-      - name: event
-        struct:
-        - name: identifier
-          dtype: string
-        - name: type
-          dtype: string
-        - name: date_created
-          dtype: string
-    - name: size
-      struct:
-      - name: value
-        dtype: float64
-      - name: unit_text
-        dtype: string
-    - name: event
-      struct:
-      - name: identifier
-        dtype: string
-      - name: type
-        dtype: string
-      - name: date_created
-        dtype: string
-  - name: in_language
-    struct:
-    - name: identifier
-      dtype: string
-    - name: name
-      dtype: string
-    - name: alternate_name
-      dtype: string
-    - name: direction
-      dtype: string
-    - name: event
-      struct:
-      - name: identifier
-        dtype: string
-      - name: type
-        dtype: string
-      - name: date_created
-        dtype: string
-  - name: license
-    list:
-    - name: name
-      dtype: string
-    - name: identifier
-      dtype: string
-    - name: url
-      dtype: string
-  - name: in_language
-    struct:
-    - name: identifier
-      dtype: string
-    - name: name
-      dtype: string
-    - name: alternate_name
-      dtype: string
-    - name: direction
-      dtype: string
-    - name: event
-      struct:
-      - name: identifier
-        dtype: string
-      - name: type
-        dtype: string
-      - name: date_created
-        dtype: string
-  - name: description
-    dtype: string
-  - name: sections
-    list:
-    - name: type
-      dtype: string
-    - name: name
-      dtype: string
-    - name: has_parts
-      list:
-      - name: type
-        dtype: string
-      - name: value
-        dtype: string
-      - name: links
-        list:
-        - name: url
-          dtype: string
-        - name: text
-          dtype: string
-        - name: images
-          list:
-          - name: content_url
-            dtype: string
-          - name: width
-            dtype: int64
-          - name: height
-            dtype: int64
-          - name: alternative_text
-            dtype: string
-      - name: name
-        dtype: string
-      - name: has_parts
-        list:
-        - name: type
-          dtype: string
-        - name: value
-          dtype: string
-        - name: links
-          list:
-          - name: url
-            dtype: string
-          - name: text
-            dtype: string
-          - name: images
-            list:
-            - name: content_url
-              dtype: string
-            - name: width
-              dtype: int64
-            - name: height
-              dtype: int64
-            - name: alternative_text
-              dtype: string
-        - name: has_parts
-          list:
-          - name: type
-            dtype: string
-          - name: value
-            dtype: string
-          - name: links
-            list:
-            - name: url
-              dtype: string
-            - name: text
-              dtype: string
-            - name: images
-              list:
-              - name: content_url
-                dtype: string
-              - name: width
-                dtype: int64
-              - name: height
-                dtype: int64
-              - name: alternative_text
-                dtype: string
-          - name: has_parts
-            list:
-            - name: type
-              dtype: string
-            - name: value
-              dtype: string
-            - name: links
-              list:
-              - name: url
-                dtype: string
-              - name: text
-                dtype: string
-              - name: images
-                list:
-                - name: content_url
-                  dtype: string
-                - name: width
-                  dtype: int64
-                - name: height
-                  dtype: int64
-                - name: alternative_text
-                  dtype: string
-            - name: has_parts
-              list:
-              - name: type
-                dtype: string
-              - name: value
-                dtype: string
-              - name: links
-                list:
-                - name: url
-                  dtype: string
-                - name: text
-                  dtype: string
-          - name: name
-            dtype: string
-        - name: name
-          dtype: string
-  - name: infoboxes
-    list:
-    - name: type
-      dtype: string
-    - name: name
-      dtype: string
-    - name: has_parts
-      list:
-      - name: type
-        dtype: string
-      - name: name
-        dtype: string
-      - name: has_parts
-        list:
-        - name: type
-          dtype: string
-        - name: name
-          dtype: string
-        - name: value
-          dtype: string
-        - name: links
-          list:
-          - name: url
-            dtype: string
-          - name: text
-            dtype: string
-          - name: images
-            list:
-            - name: content_url
-              dtype: string
-            - name: width
-              dtype: int64
-            - name: height
-              dtype: int64
-            - name: alternative_text
-              dtype: string
-        - name: values
-          sequence: string
-        - name: images
-          list:
-          - name: content_url
-            dtype: string
-          - name: width
-            dtype: int64
-          - name: height
-            dtype: int64
-          - name: alternative_text
-            dtype: string
-          - name: caption
-            dtype: string
-  - name: main_entity
-    struct:
-    - name: identifier
-      dtype: string
-    - name: url
-      dtype: string
-  - name: additional_entities
-    list:
-    - name: identifier
-      dtype: string
-    - name: url
-      dtype: string
-    - name: aspects
-      sequence: string
-  - name: image
-    struct:
-    - name: content_url
-      dtype: string
-    - name: width
-      dtype: int64
-    - name: height
-      dtype: int64
-    - name: alternate_text
-      dtype: string
-    - name: caption
-      dtype: string
-- config_name: 20240916.fr
-  features:
-  - name: name
-    dtype: string
-  - name: identifier
-    dtype: int64
-  - name: abstract
-    dtype: string
-  - name: version
-    struct:
-    - name: identifier
-      dtype: int64
-    - name: comment
-      dtype: string
-    - name: tags
-      sequence: string
-    - name: is_minor_edit
-      dtype: bool
-    - name: is_flagged_stable
-      dtype: bool
-    - name: has_tag_needs_citation
-      dtype: bool
-    - name: scores
-      struct:
-      - name: damaging
-        struct:
-        - name: prediction
-          dtype: bool
-        - name: probability
-          struct:
-          - name: 'false'
-            dtype: float64
-          - name: 'true'
-            dtype: float64
-      - name: goodfaith
-        struct:
-        - name: prediction
-          dtype: bool
-        - name: probability
-          struct:
-          - name: 'false'
-            dtype: float64
-          - name: 'true'
-            dtype: float64
-      - name: revertrisk
-        struct:
-        - name: prediction
-          dtype: bool
-        - name: probability
-          struct:
-          - name: 'false'
-            dtype: float64
-          - name: 'true'
-            dtype: float64
-    - name: editor
-      struct:
-      - name: identifier
-        dtype: int64
-      - name: name
-        dtype: string
-      - name: edit_count
-        dtype: int64
-      - name: groups
-        sequence: string
-      - name: is_bot
-        dtype: bool
-      - name: is_anonymous
-        dtype: bool
-      - name: is_admin
-        dtype: bool
-      - name: is_patroller
-        dtype: bool
-      - name: has_advanced_rights
-        dtype: bool
-      - name: date_started
-        dtype: string
-    - name: number_of_characters
-      dtype: int64
-    - name: size
-      struct:
-      - name: value
-        dtype: float64
-      - name: unit_text
-        dtype: string
-    - name: event
-      struct:
-      - name: identifier
-        dtype: string
-      - name: type
-        dtype: string
-      - name: date_created
-        dtype: string
-    - name: is_breaking_news
-      dtype: bool
-    - name: noindex
-      dtype: bool
-    - name: maintenance_tags
-      struct:
-      - name: citation_needed_count
-        dtype: int64
-      - name: pov_count
-        dtype: int64
-      - name: clarification_needed_count
-        dtype: int64
-      - name: update_count
-        dtype: int64
-  - name: event
-    struct:
-    - name: identifier
-      dtype: string
-    - name: type
-      dtype: string
-    - name: date_created
-      dtype: string
-    - name: date_published
-      dtype: string
-  - name: url
-    dtype: string
-  - name: date_created
-    dtype: string
-  - name: date_modified
-    dtype: string
-  - name: is_part_of
-    struct:
-    - name: name
-      dtype: string
-    - name: identifier
-      dtype: string
-    - name: url
-      dtype: string
-    - name: version
-      dtype: string
-    - name: additional_type
-      dtype: string
-    - name: code
-      dtype: string
-    - name: namespace
-      struct:
-      - name: name
-        dtype: string
-      - name: identifier
-        dtype: int64
-      - name: alternate_name
-        dtype: string
-      - name: description
-        dtype: string
-      - name: event
-        struct:
-        - name: identifier
-          dtype: string
-        - name: type
-          dtype: string
-        - name: date_created
-          dtype: string
-    - name: date_modified
-      dtype: string
-    - name: in_language
-      struct:
-      - name: identifier
-        dtype: string
-      - name: name
-        dtype: string
-      - name: alternate_name
-        dtype: string
-      - name: direction
-        dtype: string
-      - name: event
-        struct:
-        - name: identifier
-          dtype: string
-        - name: type
-          dtype: string
-        - name: date_created
-          dtype: string
-    - name: size
-      struct:
-      - name: value
-        dtype: float64
-      - name: unit_text
-        dtype: string
-    - name: event
-      struct:
-      - name: identifier
-        dtype: string
-      - name: type
-        dtype: string
-      - name: date_created
-        dtype: string
-  - name: in_language
-    struct:
-    - name: identifier
-      dtype: string
-    - name: name
-      dtype: string
-    - name: alternate_name
-      dtype: string
-    - name: direction
-      dtype: string
-    - name: event
-      struct:
-      - name: identifier
-        dtype: string
-      - name: type
-        dtype: string
-      - name: date_created
-        dtype: string
-  - name: license
-    list:
-    - name: name
-      dtype: string
-    - name: identifier
-      dtype: string
-    - name: url
-      dtype: string
-  - name: in_language
-    struct:
-    - name: identifier
-      dtype: string
-    - name: name
-      dtype: string
-    - name: alternate_name
-      dtype: string
-    - name: direction
-      dtype: string
-    - name: event
-      struct:
-      - name: identifier
-        dtype: string
-      - name: type
-        dtype: string
-      - name: date_created
-        dtype: string
-  - name: description
-    dtype: string
-  - name: sections
-    list:
-    - name: type
-      dtype: string
-    - name: name
-      dtype: string
-    - name: has_parts
-      list:
-      - name: type
-        dtype: string
-      - name: value
-        dtype: string
-      - name: links
-        list:
-        - name: url
-          dtype: string
-        - name: text
-          dtype: string
-        - name: images
-          list:
-          - name: content_url
-            dtype: string
-          - name: width
-            dtype: int64
-          - name: height
-            dtype: int64
-          - name: alternative_text
-            dtype: string
-      - name: name
-        dtype: string
-      - name: has_parts
-        list:
-        - name: type
-          dtype: string
-        - name: value
-          dtype: string
-        - name: links
-          list:
-          - name: url
-            dtype: string
-          - name: text
-            dtype: string
-          - name: images
-            list:
-            - name: content_url
-              dtype: string
-            - name: width
-              dtype: int64
-            - name: height
-              dtype: int64
-            - name: alternative_text
-              dtype: string
-        - name: has_parts
-          list:
-          - name: type
-            dtype: string
-          - name: value
-            dtype: string
-          - name: links
-            list:
-            - name: url
-              dtype: string
-            - name: text
-              dtype: string
-            - name: images
-              list:
-              - name: content_url
-                dtype: string
-              - name: width
-                dtype: int64
-              - name: height
-                dtype: int64
-              - name: alternative_text
-                dtype: string
-          - name: has_parts
-            list:
-            - name: type
-              dtype: string
-            - name: value
-              dtype: string
-            - name: links
-              list:
-              - name: url
-                dtype: string
-              - name: text
-                dtype: string
-              - name: images
-                list:
-                - name: content_url
-                  dtype: string
-                - name: width
-                  dtype: int64
-                - name: height
-                  dtype: int64
-                - name: alternative_text
-                  dtype: string
-            - name: has_parts
-              list:
-              - name: type
-                dtype: string
-              - name: value
-                dtype: string
-              - name: links
-                list:
-                - name: url
-                  dtype: string
-                - name: text
-                  dtype: string
-            - name: name
-              dtype: string
-          - name: name
-            dtype: string
-        - name: name
-          dtype: string
-  - name: infoboxes
-    list:
-    - name: type
-      dtype: string
-    - name: name
-      dtype: string
-    - name: has_parts
-      list:
-      - name: type
-        dtype: string
-      - name: name
-        dtype: string
-      - name: has_parts
-        list:
-        - name: type
-          dtype: string
-        - name: name
-          dtype: string
-        - name: value
-          dtype: string
-        - name: links
-          list:
-          - name: url
-            dtype: string
-          - name: text
-            dtype: string
-          - name: images
-            list:
-            - name: content_url
-              dtype: string
-            - name: width
-              dtype: int64
-            - name: height
-              dtype: int64
-            - name: alternative_text
-              dtype: string
-        - name: values
-          sequence: string
-        - name: images
-          list:
-          - name: content_url
-            dtype: string
-          - name: width
-            dtype: int64
-          - name: height
-            dtype: int64
-          - name: alternative_text
-            dtype: string
-          - name: caption
-            dtype: string
-  - name: main_entity
-    struct:
-    - name: identifier
-      dtype: string
-    - name: url
-      dtype: string
-  - name: additional_entities
-    list:
-    - name: identifier
-      dtype: string
-    - name: url
-      dtype: string
-    - name: aspects
-      sequence: string
-  - name: image
-    struct:
-    - name: content_url
-      dtype: string
-    - name: width
-      dtype: int64
-    - name: height
-      dtype: int64
-    - name: alternate_text
-      dtype: string
-    - name: caption
-      dtype: string
----
 
+  - config_name: enwiki_namespace_0
+    data_files:
+      - split: train
+        path: enwiki/data/*.parquet
+
+  - config_name: frwiki_namespace_0
+    data_files:
+      - split: train
+        path: frwiki/data/*.parquet
+
+license: cc-by-sa-4.0
+---
 
 # Dataset Card for Wikimedia Structured Wikipedia
 
@@ -878,280 +34,407 @@ dataset_info:
 
 - **Homepage:** https://enterprise.wikimedia.com/
 - **Point of Contact:** [Stephanie Delbecque](mailto:sdelbecque@wikimedia.org)
+- **Total size:** 44.42 GiB
 
-## Dataset Description
+## Quick Links
 
-### Dataset Summary
+- [Wikimedia Enterprise](https://enterprise.wikimedia.com/)
+- [Structured Contents Documentation](https://enterprise.wikimedia.com/docs/snapshot/#structured-contents-snapshot-download-beta)
+- [Data Dictionary](https://enterprise.wikimedia.com/docs/data-dictionary/)
+- [Wikimedia Attribution Framework](https://wikimedia-attribution.toolforge.org/)
+- [Meta-Wiki Discussion](https://meta.wikimedia.org/wiki/Talk:Wikimedia_Enterprise)
 
-Early beta release of pre-parsed English and French Wikipedia articles including infoboxes. Inviting feedback.
+## Dataset Summary
 
-This dataset contains all articles of the [English](https://en.wikipedia.org/) and [French](https://fr.wikipedia.org/) language editions of Wikipedia, pre-parsed and outputted as structured JSON files with a consistent schema (JSONL compressed as zip). Each JSON line holds the content of one full Wikipedia article stripped of extra markdown and non-prose sections (references, etc.).
+Pre-parsed English and French Wikipedia articles, extracted using the [Wikimedia Enterprise Snapshot API](https://enterprise.wikimedia.com/docs/snapshot/#structured-contents-snapshot-download-beta).
 
-### Invitation for Feedback
+This dataset contains all articles of the [English](https://en.wikipedia.org/) and [French](https://fr.wikipedia.org/) language editions of Wikipedia, pre-parsed and output as structured data with a consistent schema. The dataset is provided in Parquet format, optimized for high-performance analytical queries and efficient storage. This version uses a unified, pinned schema across all files, making it compatible with DuckDB, pandas, Polars, and Apache Spark out of the box.
 
-The dataset is built as part of the Structured Contents initiative and based on the Wikimedia Enterprise html [snapshots](https://enterprise.wikimedia.com/docs/snapshot/).  It is an early beta release to improve transparency in the development process and request feedback. This first version includes pre-parsed Wikipedia abstracts, short descriptions, main images links, infoboxes and article sections, excluding non-prose sections (e.g. references). More elements (such as lists and tables) may be added over time. For updates follow the project’s [blog](https://enterprise.wikimedia.com/blog/) and our [Mediawiki Quarterly software updates](https://www.mediawiki.org/wiki/Wikimedia_Enterprise#Updates) on MediaWiki.
+New in this dataset:
 
-As this is an early beta release, we highly value your feedback to help us refine and improve this dataset. Please share your thoughts, suggestions, and any issues you encounter either [on the discussion page](https://meta.wikimedia.org/wiki/Talk:Wikimedia_Enterprise) of Wikimedia Enterprise’s homepage on Meta wiki, or on the discussion page for this dataset here on HuggingFace.
+- Parsed [references and citations](https://enterprise.wikimedia.com/blog/parsed-references-with-scoring-models/), connecting Wikipedia's knowledge with its sources of truth.
+- Parsed [tables](https://enterprise.wikimedia.com/blog/parsed-wikipedia-tables/), one of the most information-heavy sections of Wikipedia pages.
+- Credibility [signals](https://enterprise.wikimedia.com/blog/parsed-references-with-scoring-models/#quality-models), for example `referenceneed` and `referencerisk`, signaling where information may not be sufficiently backed by sources.
+- Improvements to list parsing, including nested lists, ordered lists, and definition lists.
+- Article-body images are parsed and available in the article body section payload.
 
-The contents of this dataset of Wikipedia articles is collectively written and curated by a global volunteer community. All original textual content is licensed under the [GNU Free Documentation License](https://www.gnu.org/licenses/fdl-1.3.html) (GFDL) and the [Creative Commons Attribution-Share-Alike 4.0 License](https://creativecommons.org/licenses/by-sa/4.0/). Some text may be available only under the Creative Commons license; see the Wikimedia [Terms of Use](https://foundation.wikimedia.org/wiki/Policy:Terms_of_Use) for details. Text written by some authors may be released under additional licenses or into the public domain.
+## Invitation for Feedback
 
-### Supported Tasks and Leaderboards
+The dataset is built as part of the [Structured Contents initiative](https://enterprise.wikimedia.com/docs/snapshot/#structured-contents-snapshot-download-beta) and based on Wikimedia Enterprise HTML snapshots. This updated version includes pre-parsed Wikipedia abstracts, short descriptions, main image, infoboxes, article sections, tables, references, citations, lists, article images, and more.
 
-The dataset in its structured form is generally helpful for a wide variety of tasks, including all phases of model development, from pre-training to alignment, fine-tuning, updating/RAG as well as testing/benchmarking.
+For updates, follow the [Wikimedia Enterprise blog](https://enterprise.wikimedia.com/blog/) and [MediaWiki Quarterly software updates](https://www.mediawiki.org/wiki/MediaWiki_Product_Insights).
+
+We welcome feedback to help refine and improve this dataset. Please share suggestions or issues on the [Wikimedia Enterprise Meta-Wiki discussion page](https://meta.wikimedia.org/wiki/Talk:Wikimedia_Enterprise) or on this dataset’s Hugging Face [discussion page]: [https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions](https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions).
+
+The contents of this dataset are collectively written and curated by a global volunteer community. Please see the [Attribution Information](#attribution-information) section for licensing and attribution guidance.
+
+## Supported Tasks and Leaderboards
+
+The dataset in its structured form is generally helpful for a wide variety of tasks, including model development, pre-training, alignment, fine-tuning, retrieval-augmented generation, updating, testing, and benchmarking.
 
 We would love to hear more about your use cases.
 
-### Languages
+## Languages
+
+### English
+
+- **BCP 47 Language Code:** `en`
+- **Wikipedia edition:** [English Wikipedia](https://en.wikipedia.org/)
+- **Manual of Style:** [English Wikipedia Manual of Style](https://en.wikipedia.org/wiki/Wikipedia:Manual_of_Style)
+
+### French / Français
 
-English <br/>
-BCP 47 Language Code: EN
+- **BCP 47 Language Code:** `fr`
+- **Wikipedia edition:** [French Wikipedia](https://fr.wikipedia.org/)
+- **Manual of Style:** [French Wikipedia conventions](https://fr.wikipedia.org/wiki/Wikip%C3%A9dia:Conventions_de_style)
 
-French/Français <br/>
-BCP 47 Language Code: FR
+There is one language edition for English and one for French. They encompass national and cultural variations of spelling, vocabulary, grammar, and usage. Within a Wikipedia language edition, no national variety is officially preferred over others. The rule of thumb is that the conventions of a particular language variety should be followed consistently within a given article.
 
-There is only one language edition for English, and one for French. They encompass national and cultural variations of spelling, vocabulary, grammar etc. Within a Wikipedia language edition, no national variety is officially preferred over others. The rule of thumb is that the conventions of a particular variety of language should be followed consistently within a given article.
+As part of this beta Wikimedia Enterprise Structured Contents initiative, the team is expanding coverage of language editions. To request a specific language edition, please contact us on the [Meta-Wiki talk page](https://meta.wikimedia.org/wiki/Talk:Wikimedia_Enterprise) and explain your use case.
 
-The relevant Manual of Style policy documents are available [for English Wikipedia](https://en.wikipedia.org/wiki/Wikipedia:Manual_of_Style#National_varieties_of_English), and [for French Wikipedia](https://fr.wikipedia.org/wiki/Wikip%C3%A9dia:Conventions_de_style#Variantes_g%C3%A9ographiques).
+# Dataset Structure
 
-As part of this Beta Wikimedia Enterprise Structured Contents project, the team is working to including more language editions: [https://enterprise.wikimedia.com/docs/snapshot/#available-structured-contents-snapshots-beta](https://enterprise.wikimedia.com/docs/snapshot/#available-structured-contents-snapshots-beta)
+## Data Instances
 
-## Dataset Structure
+Each row represents one Wikipedia article snapshot stored in Parquet format.
 
-### Data Instances
+Most scalar and moderately nested metadata fields are stored as native Arrow/Parquet types. Recursive or schema-unstable fields are stored as JSON-encoded strings.
 
-An example of each line of JSON looks as follows (abbreviated data):
+Example abbreviated Parquet row, shown as JSON for readability:
 
-```json
+~~~json
 {
-"name":"JosephineBaker",
-"identifier":255083,
-"url":"https://en.wikipedia.org/wiki/Josephine_Baker",
-"date_created":"...",
-"date_modified":"...",
-"is_part_of":{"..."},
-"in_language":{"..."},
-"main_entity":{"identifier":"Q151972",...},
-"additional_entities":[...],
-"version":{...},
-"description":"American-bornFrenchdancer...",
-"abstract":"FredaJosephineBaker,naturalizedas...",
-"image":{"content_url":"https://upload.wikimedia.org/wikipedia/...",...},
-"infoboxes":[{"name":"Infoboxperson",
-            "type":"infobox",
-          "has_parts":[
-                { "name":"JosephineBaker",
-              "type":"section",
-                  "has_parts":[
-                {"name":"Born",
-                 "type":"field",
-                 "value":"FredaJosephineMcDonaldJune3,1906 St.Louis,Missouri,US",
-                         "links":[{"url": "https://en.wikipedia.org/wiki/St._Louis", "text":"St.Louis"},}],
-                  ]
-                }
-            ]
-}],
-"sections": [{"name": "Abstract",
-          "type": "section",
-          "has_parts": [
-                 { "type": "paragraph",
-             "value": "Freda Josephine Baker (née McDonald; June 3, 1906 - April 12, 1975), naturalized as Joséphine Baker...",
-               "links": [{"url": "https://en.wikipedia.org/wiki/Siren_...","text": "Siren of the Tropics"...}]
-                  }
-              ],
-              ...
-}],
-"license":[...],
+  "name": "Josephine Baker",
+  "identifier": 255083,
+  "url": "https://en.wikipedia.org/wiki/Josephine_Baker",
+  "description": "American-born French dancer...",
+  "abstract": "Freda Josephine Baker...",
+  "main_entity": {
+    "identifier": "Q151972",
+    "url": "https://www.wikidata.org/entity/Q151972"
+  },
+  "version": {
+    "identifier": 123456789,
+    "editor": {
+      "identifier": 123,
+      "name": "Example editor"
+    },
+    "scores": {}
+  },
+  "image": {
+    "content_url": "https://upload.wikimedia.org/...",
+    "width": 250,
+    "height": 350
+  },
+  "infoboxes": "[{...}]",
+  "sections": "[{...}]",
+  "tables": "[{...}]",
+  "references": [
+    {
+      "identifier": "...",
+      "metadata": "{...}"
+    }
+  ]
 }
-```
+~~~
 
 ### Timestamp
 
-Dataset extracted 16 September 2024
+Dataset extracted: **13 May 2026**
 
-### Size
+## Included Releases
 
-English: enwiki_namespace_0.zip
 
-Size of compressed dataset files: 17.91 GB <br/>
-Size of uncompressed dataset: 79.57 GB
 
-French: frwiki_namespace_0.zip
+| Language | Snapshot identifier | Rows | Shards | Size |
+| --- | --- | ---: | ---: | ---: |
+| English | `enwiki_namespace_0` | 7,597,149 | 86 | 34.61 GiB |
+| French | `frwiki_namespace_0` | 2,871,732 | 26 | 9.81 GiB |
 
-Size of compressed dataset files: 6.95 GB <br/>
-Size of the uncompressed dataset: 34.01 GB
 
-JSONL files compressed in zip, once uncompressed they are chunked by max 2.15GB.
+Total rows: `10,468,881`
 
-For more guidelines on how to process the snapshots, see [SDKs](https://enterprise.wikimedia.com/docs/#sdk).
+Total Parquet size: `44.42 GiB`
 
-### Data Fields
 
-The data fields are the same among all, noteworthy included fields:
 
-* [name](https://enterprise.wikimedia.com/docs/data-dictionary/#name) - title of the article.
-* [identifier](https://enterprise.wikimedia.com/docs/data-dictionary/#identifier) - ID of the article.
-* [url](https://enterprise.wikimedia.com/docs/data-dictionary/#url) - URL of the article.
-* [version](https://enterprise.wikimedia.com/docs/data-dictionary/#version): metadata related to the latest specific revision of the article
-* [version.editor](https://enterprise.wikimedia.com/docs/data-dictionary/#version_editor) - editor-specific signals that can help contextualize the revision
-* [version.scores](https://enterprise.wikimedia.com/docs/data-dictionary/#version_scores) - returns assessments by ML models on the likelihood of a revision being reverted.
-* [main entity](https://enterprise.wikimedia.com/docs/data-dictionary/#main_entity) - Wikidata QID the article is related to.
-* [abstract](https://enterprise.wikimedia.com/docs/data-dictionary/#abstract) - lead section, summarizing what the article is about.
-* [description](https://enterprise.wikimedia.com/docs/data-dictionary/#description) -  one-sentence description of the article for quick reference.
-* [image](https://enterprise.wikimedia.com/docs/data-dictionary/#image) - main image representing the article's subject.
-* [infoboxes](https://enterprise.wikimedia.com/docs/data-dictionary/#infoboxes) - parsed information from the side panel (infobox) on the Wikipedia article.
-* [sections](https://enterprise.wikimedia.com/docs/data-dictionary/#article_sections) -  parsed sections of the article, including links.
 
-Note: excludes other media/images, lists, tables and references or similar non-prose sections.
+## Data Fields
 
-Full data dictionary is available here: [https://enterprise.wikimedia.com/docs/data-dictionary/](https://enterprise.wikimedia.com/docs/data-dictionary/)
+The data fields are the same across the dataset. Noteworthy fields include:
 
-### Data Splits
+- [`name`](https://enterprise.wikimedia.com/docs/data-dictionary/#name) - title of the article.
+- [`identifier`](https://enterprise.wikimedia.com/docs/data-dictionary/#identifier) - ID of the article.
+- [`url`](https://enterprise.wikimedia.com/docs/data-dictionary/#url) - URL of the article.
+- [`version`](https://enterprise.wikimedia.com/docs/data-dictionary/#version) - metadata related to the latest specific revision of the article.
+- [`version.editor`](https://enterprise.wikimedia.com/docs/data-dictionary/#version-editor) - editor-specific signals that can help contextualize the revision.
+- [`version.scores`](https://enterprise.wikimedia.com/docs/data-dictionary/#version-scores) - returns assessments by ML models on the likelihood of a revision being reverted.
+- [`main_entity`](https://enterprise.wikimedia.com/docs/data-dictionary/#main-entity) - Wikidata QID the article is related to.
+- [`abstract`](https://enterprise.wikimedia.com/docs/data-dictionary/#abstract) - lead section summarizing what the article is about.
+- [`description`](https://enterprise.wikimedia.com/docs/data-dictionary/#description) - one-sentence description of the article for quick reference.
+- [`images`](https://enterprise.wikimedia.com/docs/data-dictionary/#images) - the image object is found as a top-level object to refer to the main image for the article. The contents of an image object can also exist within an `images` array in other sections of the article payload, to refer to images used within the article body.
+- [`infoboxes`](https://enterprise.wikimedia.com/docs/data-dictionary/#infoboxes) - parsed information from the side panel (infobox) on the Wikipedia article.
+- [`sections`](https://enterprise.wikimedia.com/docs/data-dictionary/#sections) - parsed sections of the article, including links, lists, citations, etc.
+- [`tables`](https://enterprise.wikimedia.com/docs/data-dictionary/#tables) - tables are defined at the top level of the article object in a `tables` array, each with a unique identifier. Sections or other parts of the article can reference these tables using their identifiers.
+- [`references`](https://enterprise.wikimedia.com/docs/data-dictionary/#references) - parsed references including identifiers that link them to citations in sections.
 
-[N/A]
+The full list of fields is available in the [Wikimedia Enterprise data dictionary](https://enterprise.wikimedia.com/docs/data-dictionary/).
 
-## Dataset Creation
+## Processing
 
-### Curation Rationale
+1. Downloaded the snapshot tarball from the [Wikimedia Enterprise API](https://enterprise.wikimedia.com/docs/snapshot/#structured-contents-snapshot-download-beta).
+2. Streamed each `.ndjson` shard through a normalization pass:
+   - JSON-encoded fields: `sections`, `infoboxes`, `tables`, and `references[].metadata` are stored as JSON-encoded strings.
+   - These fields either have recursive nesting that exceeds Apache Arrow’s C Data Interface limit or are open-dictionary structures whose keys vary across articles.
+   - Decode with `json.loads` on read.
+   - Struct field ordering was canonicalized alphabetically and recursively so schemas match byte-for-byte across shards.
+3. Wrote one Parquet file per shard with zstd compression.
+4. Unified per-shard schemas with `pa.unify_schemas`; pinned the result to `schema.json`; re-cast every shard so embedded schemas are identical.
 
-This dataset has been created as part of the larger [Structured Contents initiative at Wikimedia Enterprise](https://meta.wikimedia.org/wiki/Wikimedia_Enterprise/FAQ#What_is_Structured_Contents) with the aim of making Wikimedia data more machine readable. These efforts are both focused on pre-parsing Wikipedia snippets as well as connecting the different projects closer together.
+## Loading
 
-Even if Wikipedia is very structured to the human eye, it is a non-trivial task to extract the knowledge lying within in a machine readable manner. Projects, languages, domains all have their own specific community experts and way of structuring data, bolstered by various templates and best practices. A specific example we’ve addressed in this release is article infoboxes. Infoboxes are panels that commonly appear in the top right corner of a Wikipedia article and summarize key facts and statistics of the article’s subject. The editorial community works hard to keep infoboxes populated with the article’s most pertinent and current metadata, and we’d like to lower the barrier of entry significantly so that this data is also accessible at scale without the need for bespoke parsing systems.
 
-We also include the link to the [Wikidata Q](https://www.wikidata.org/wiki/Wikidata:Identifiers) Identifier (corresponding Wikidata entity), and the link to (main and infobox) images to facilitate easier access to additional information on the specific topics.
 
-You will also find [Credibility Signals fields](https://enterprise.wikimedia.com/blog/understanding-credibility-signals-in-wikimedia-enterprise-api/) included. These can help you decide when, how, and why to use what is in the dataset. These fields mirror the over 20 years of editorial policies created and kept by the Wikipedia editing communities, taking publicly available information and structuring it. Like with article structures, because this information is not centralized (neither on a single project nor across them), it is hard to access. Credibility signals shine a light on that blind spot. You will find most of these signals under the ‘version’ object, but other objects like ‘protection’ and ‘watchers_count’ offer similar insight.
+~~~python
+from datasets import load_dataset
+import json
 
-This is an early beta release of pre-parsed Wikipedia articles in bulk, as a means to improve transparency in the development process and gather insights of current use cases to follow where the AI community needs us most; as well as feedback points, to develop this further through collaboration. There will be limitations (see ‘known limitations’ section below), but in line with [our values](https://wikimediafoundation.org/about/values/#a3-we-welcome-everyone-who-shares-our-vision-and-values), we believe it is better to share early, often, and respond to feedback.
+en = load_dataset(
+    "wikimedia/structured-wikipedia",
+    "enwiki_namespace_0",
+    split="train",
+    streaming=True,
+)
 
-You can also test out more languages on an article by article basis through our [beta Structured Contents On-demand endpoint](https://enterprise.wikimedia.com/docs/on-demand/#article-structured-contents-beta) with a [free account](https://enterprise.wikimedia.com/blog/enhanced-free-api/).
+fr = load_dataset(
+    "wikimedia/structured-wikipedia",
+    "frwiki_namespace_0",
+    split="train",
+    streaming=True,
+)
 
-Attribution is core to the sustainability of the Wikimedia projects. It is what drives new editors and donors to Wikipedia. With consistent attribution, this cycle of content creation and reuse ensures encyclopedic content of high-quality, reliability, and verifiability will continue being written on Wikipedia and ultimately remain available for reuse via datasets such as these.
+ds = en
 
-As such, we require all users of this dataset to conform to our expectations for proper attribution. Detailed attribution requirements for use of this dataset are outlined below.
+row = next(iter(ds))
 
-Beyond attribution, there are many ways of contributing to and supporting the Wikimedia movement. To discuss your specific circumstances please contact Nicholas Perry from the Wikimedia Foundation technical partnerships team at [nperry@wikimedia.org](mailto:nperry@wikimedia.org). You can also contact us on either the [discussion page](https://meta.wikimedia.org/wiki/Talk:Wikimedia_Enterprise) of Wikimedia Enterprise’s homepage on Meta wiki, or on the discussion page for this dataset here on HuggingFace.
+print(row["name"], row["url"])
 
-### Source Data
+sections = json.loads(row["sections"]) if row["sections"] else None
+infoboxes = json.loads(row["infoboxes"]) if row["infoboxes"] else None
+tables = json.loads(row["tables"]) if row["tables"] else None
+for ref in row["references"] or []:
+    metadata = json.loads(ref["metadata"]) if ref.get("metadata") else None
+~~~
 
-### Initial Data Collection and Normalization
+### Polars
 
-The dataset is built from the Wikimedia Enterprise HTML “snapshots”: [https://enterprise.wikimedia.com/docs/snapshot/](https://enterprise.wikimedia.com/docs/snapshot/) and focusses on the Wikipedia article namespace ([namespace 0 (main))](https://en.wikipedia.org/wiki/Wikipedia:What_is_an_article%3F#Namespace).
+~~~python
+import polars as pl
 
-### Who are the source language producers?
+df = pl.scan_parquet(
+    "hf://datasets/wikimedia/structured-wikipedia/enwiki/data/*.parquet"
+)
 
-Wikipedia is a human generated corpus of free knowledge, written, edited, and curated by a [global community of editors](https://meta.wikimedia.org/wiki/Community_Insights/Community_Insights_2023_Report) since 2001.
+print(
+    df.select(["name", "url"])
+      .head()
+      .collect()
+)
+~~~
 
-It is the largest and most accessed educational resource in history, accessed over 20 billion times by half a billion people each month. Wikipedia represents almost 25 years of work by its community; the creation, curation, and maintenance of millions of articles on distinct topics.
+### DuckDB
 
-This dataset includes the complete article contents of two Wikipedia language editions: English [https://en.wikipedia.org/](https://en.wikipedia.org/) and French [https://fr.wikipedia.org/](https://fr.wikipedia.org/), written by the respective communities.
+~~~python
+import duckdb
 
-### Annotations
+duckdb.sql(
+    '''
+    SELECT name, url
+    FROM 'hf://datasets/wikimedia/structured-wikipedia/enwiki/data/*.parquet'
+    LIMIT 10
+    '''
+).show()
+~~~
 
-### Annotation process
+### PyArrow
 
-[N/A]
+~~~python
+import pyarrow.dataset as ds
 
-The dataset doesn't contain any additional annotations
+dataset = ds.dataset(
+    "hf://datasets/wikimedia/structured-wikipedia/enwiki/data/",
+    format="parquet",
+)
 
-### Who are the annotators?
+table = dataset.to_table(
+    columns=["name", "url"]
+)
+~~~
 
-[N/A]
 
-### Personal and Sensitive Information
 
-The Wikipedia community and the Wikimedia Foundation - which operates Wikipedia - establish robust policy and guidelines around personal and sensitive information; both to avoid personal/sensitive information within articles as well as strict privacy policies around information of their contributors.
+### Reading the Pinned Schema
 
-The Wikimedia Foundation’s privacy policy is available at: [https://foundation.wikimedia.org/wiki/Policy:Privacy_policy](https://foundation.wikimedia.org/wiki/Policy:Privacy_policy)
+~~~python
+import json
+import pyarrow as pa
 
-Transparency reports covering the Wikimedia Foundation’s responses to requests received to alter or remove content from the projects, and to provide nonpublic information about users,  are found here: [https://wikimediafoundation.org/about/transparency/](https://wikimediafoundation.org/about/transparency/)
+payload = json.loads(open("schema.json").read())
 
-Among many editorial policies regarding personal and sensitive information, particular care is paid by the community to biographies of living people. Details for each language community’s responses and norms can be found here: [https://www.wikidata.org/wiki/Q4663389#sitelinks-wikipedia](https://www.wikidata.org/wiki/Q4663389#sitelinks-wikipedia)
+schema = pa.ipc.read_schema(
+    pa.py_buffer(bytes.fromhex(payload["arrow_ipc_hex"]))
+)
+~~~
 
-## Considerations for Using the Data
+## Data Splits
 
-### Social Impact of Dataset
+This dataset is provided as a single `train` split for compatibility with dataset-loading tooling.
 
-Wikipedia’s articles are read over 20 billion times by half a billion people each month. It does not belong to, or come from a single culture or language. It is an example of mass international cooperation, across languages and continents. Wikipedia is the only website among the world’s most visited that is not operated by a commercial organization.
+# Dataset Creation
 
-Wikimedia projects have been used (and upsampled) as a core source of qualitative data in AI/ML/LLM . The Wikimedia Foundation has published an article on [the value of Wikipedia in age of generative AI](https://wikimediafoundation.org/news/2023/07/12/wikipedias-value-in-the-age-of-generative-ai).
+## Curation Rationale
 
-There is also a Community Article about [why Wikimedia data matters for ML](https://huggingface.co/blog/frimelle/wikipedias-treasure-trove-ml-data#why-wikimedia-data-for-ml) on the HuggingFace blog. This highlights that it is: rich, diverse content; multimodal; and both community-curated and openly licensed.
+This dataset was created as part of the larger [Structured Contents initiative](https://enterprise.wikimedia.com/docs/snapshot/#structured-contents-snapshot-download-beta) at Wikimedia Enterprise, with the aim of making Wikimedia data more machine-readable.
 
-### Discussion of Biases
+Although Wikipedia is highly structured to the human eye, it is non-trivial to extract the knowledge within it in a machine-readable manner. Projects, languages, and domains each have their own community experts and ways of structuring data, supported by templates and best practices. A specific example addressed in this release is article tables. Wikipedia’s editorial communities work to keep tables populated with factual and structured information, and this dataset aims to make that information accessible at scale without bespoke parsing systems.
 
-While consciously trying to present an editorially neutral point of view, Wikipedia’s content reflects [the biases of the society it comes from](https://wikimediafoundation.org/our-work/open-the-knowledge/otk-change-the-stats/). This includes various “gaps” (notably in both the [proportion of biographies of, and editors who identify as, women](https://wikimediafoundation.org/our-work/open-the-knowledge/wikipedia-needs-more-women/). Other significant gaps include in linguistic and technical accessibility of the websites, and censorship. Because the content is written by its readers, ensuring the widest possible access to the content is crucial to reducing the biases of the content itself. There is continuous work to redress these biases through various social and technical efforts – both centrally and at the grassroots around the world.
+The dataset also includes links to [Wikidata Q](https://www.wikidata.org/wiki/Wikidata:Identifiers) Identifiers and links to main and infobox images to facilitate easier access to additional information on specific topics.
 
-### Other Known Limitations
+[Credibility signal fields](https://enterprise.wikimedia.com/blog/understanding-credibility-signals-in-wikimedia-enterprise-api/) are also included. These can help users decide when, how, and why to use what is in the dataset. These fields reflect editorial policies created and maintained by Wikipedia editing communities over more than 20 years. Many of these signals are found under the `version` object, while other objects such as `protection` and `watchers_count` offer related insight.
 
-This is an early beta version, the following limitations may apply:
+This is an early beta release of pre-parsed Wikipedia articles in bulk. It is shared to improve transparency in the development process, gather insight into current use cases, and collect feedback from the AI community. There will be limitations, described in the [Other Known Limitations](#other-known-limitations) section, but in line with [Wikimedia values](https://wikimediafoundation.org/about/values/#a3-we-welcome-everyone-who-shares-our-vision-and-values), we believe it is better to share early, share often, and respond to feedback.
 
-* A small percentage of duplicated, deleted or missed articles may be part of the snapshot. Duplicates can be filtered out by looking at the highest "version.identifier", being the most up-to-date revision of the article
-* Revision discrepancies may happen due to limitations with long articles
-* On occasion empty sections or values may be returned. This is either because the section contains references or similar; or is made out of structured elements like lists and tables; or the section was left empty by editors.
-* Images: only main and infobox image links are supported at the moment, we encourage you to take additional information and licensing by following the image link, while we are evaluating adding this data directly.
+You can also test more languages on an article-by-article basis through the beta [Structured Contents On-Demand endpoint](https://enterprise.wikimedia.com/docs/on-demand/) with a free account.
 
-Please let us know if there are any other limitations that aren't covered above.
+Attribution is core to the sustainability of Wikimedia projects. It drives new editors and donors to Wikipedia. With consistent attribution, the cycle of content creation and reuse helps ensure that encyclopedic content of high quality, reliability, and verifiability continues to be written on Wikipedia and remains available for reuse through datasets such as this one.
 
-## Additional Information
+Users of this dataset are expected to conform to Wikimedia attribution expectations. Detailed attribution guidance is provided in the [Attribution Information](#attribution-information) section.
 
-### Dataset Curators
+Beyond attribution, there are many ways to contribute to and support the Wikimedia movement. To discuss specific circumstances, please contact Nicholas Perry from the Wikimedia Foundation technical partnerships team at [nperry@wikimedia.org](mailto:nperry@wikimedia.org). You can also contact us on the [Wikimedia Enterprise Meta-Wiki discussion page](https://meta.wikimedia.org/wiki/Talk:Wikimedia_Enterprise) or on this dataset’s Hugging Face discussion page: [discussion page](https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions).
 
-This dataset was created by the [Wikimedia Enterprise](https://enterprise.wikimedia.com/about/) team of the [Wikimedia Foundation](https://wikimediafoundation.org/) as part of the Structured Contents initiative.
+## Source Data
 
-### Attribution Information
+### Initial Data Collection and Normalization
 
-Wikimedia Enterprise provides this dataset under the assumption that downstream users will adhere to the relevant free culture licenses when the data is reused. In situations where attribution is required, reusers should identify the Wikimedia project from which the content was retrieved as the source of the content. Any attribution should adhere to Wikimedia’s trademark policy (available at [https://foundation.wikimedia.org/wiki/Trademark_policy](https://foundation.wikimedia.org/wiki/Trademark_policy)) and visual identity guidelines (available at [https://foundation.wikimedia.org/wiki/Visual_identity_guidelines](https://foundation.wikimedia.org/wiki/Visual_identity_guidelines)) when identifying Wikimedia as the source of content.
+The dataset is built from the [Wikimedia Enterprise Structured Contents API](https://enterprise.wikimedia.com/docs/snapshot/#structured-contents-snapshot-download-beta) and focuses on the English and French Wikipedia article namespace, [namespace 0](https://en.wikipedia.org/wiki/Wikipedia:What_is_an_article%3F#Namespace), also known as mainspace.
 
-#### How To Attribute Wikipedia
+### Who are the source language producers?
 
-We ask that all content re-users attribute Wikipedia in a way that supports our model. In the spirit of reciprocity the framework allows you to leverage our brand to signal trust, reliability and recency whilst also communicating that our dataset is written entirely by human contributors who have volunteered their time in the spirit of knowledge for all.
+Wikipedia is a human-generated corpus of free knowledge, written, edited, and curated by a global community of editors since 2001.
 
-For example, for Generative AI, what to include in all attribution cases:
+It is one of the largest and most accessed educational resources in history, accessed over 20 billion times by half a billion people each month. Wikipedia represents almost 25 years of work by its community: the creation, curation, and maintenance of millions of articles on distinct topics.
 
-<img src="https://huggingface.co/datasets/wikimedia/structured-wikipedia/resolve/main/images/attrib_table.png" style="width: 1000px; height:483px;" />
+This dataset includes the complete article contents of two Wikipedia language editions written by the respective communities:
 
+- [English Wikipedia](https://en.wikipedia.org/)
+- [French Wikipedia](https://fr.wikipedia.org/)
 
-Attribution UI Example: Outputs using Wikipedia non-specifically
+## Annotations
 
-![](https://huggingface.co/datasets/wikimedia/structured-wikipedia/resolve/main/images/attr1.png)
+### Annotation process
 
-Attribution UI Example: Outputs using Wikipedia in-line
+N/A
 
-![](https://huggingface.co/datasets/wikimedia/structured-wikipedia/resolve/main/images/attr2.png)
+The dataset does not contain additional annotations.
 
-#### Tools & Resources for Attribution
+### Who are the annotators?
 
-[W Favicons](https://commons.wikimedia.org/wiki/Category:Wikimedia_Attribution_Guide_Favicons): The Wikipedia ‘W’ icon is a distinctive graphic element derived from the W of Wikipedia, set in the font Hoefler combined with various framing devices.
+N/A
 
-<img src="https://upload.wikimedia.org/wikipedia/commons/thumb/1/1e/Wikipedia_%22W%22_Square_Black.svg/240px-Wikipedia_%22W%22_Square_Black.svg.png" style="display: inline-block; width: 50px; height:50px;" /><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Wikipedia_%22W%22_Rounded_Black.svg/240px-Wikipedia_%22W%22_Rounded_Black.svg.png" style="width: 50px; height:50px;display: inline-block;" /><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/6/67/Wikipedia_%22W%22_Square_Tech.svg/240px-Wikipedia_%22W%22_Square_Tech.svg.png" style="width: 50px; height:50px;display: inline-block;" /><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/aa/Wikipedia_%22W%22_Rounded_Tech.svg/240px-Wikipedia_%22W%22_Rounded_Tech.svg.png" style="width: 50px; height:50px;display: inline-block;" /><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/2/23/Wikipedia_%22W%22_Square_White.svg/240px-Wikipedia_%22W%22_Square_White.svg.png" style="width: 50px; height:50px;display: inline-block;" /><img src="https://upload.wikimedia.org/wikipedia/commons/thumb/2/23/Wikipedia_%22W%22_Rounded_White.svg/240px-Wikipedia_%22W%22_Rounded_White.svg.png" style="width: 50px; height:50px;display: inline-block;" />
+## Personal and Sensitive Information
 
-[W Wordmarks](https://foundation.wikimedia.org/wiki/Legal:Visual_identity_guidelines): The distinctive wordmark, with larger case W and A characters. The wordmark alone is the most identifiable and clearly understood version of all of the official marks representing Wikipedia.
+The Wikipedia community and the Wikimedia Foundation, which operates Wikipedia, maintain robust policies and guidelines regarding personal and sensitive information. These policies are intended both to avoid inappropriate personal or sensitive information within articles and to protect the privacy of Wikimedia contributors.
 
-![](https://huggingface.co/datasets/wikimedia/structured-wikipedia/resolve/main/images/wikipedia1.png)![](https://huggingface.co/datasets/wikimedia/structured-wikipedia/resolve/main/images/wikipedia2.png)
+The Wikimedia Foundation Privacy Policy is available here: [Privacy Policy](https://foundation.wikimedia.org/wiki/Policy:Privacy_policy).
 
-Wikimedia Product Icons: You can find all currently available icons in the [Assets library](https://www.figma.com/file/1lT9LKOK6wiHLnpraMjP3E/%E2%9D%96-Assets-(Icons%2C-Logos%2C-Illustrations)?node-id=3295-13631&t=XsJ03mZaUOTNMw9j-0) in Figma. We provide a listing of all icons with their ids for implementation in the [Codex demo](https://doc.wikimedia.org/codex/latest/icons/all-icons.html). Additionally you also find all icons as single [SVGO production optimized](https://www.mediawiki.org/wiki/Manual:Coding_conventions/SVG) SVGs for usage outside of MediaWiki.
+Transparency reports covering the Wikimedia Foundation’s responses to requests to alter or remove content from the projects, and requests to provide nonpublic information about users, are available here: [Transparency Reports](https://wikimediafoundation.org/about/transparency/).
 
-<img src="https://huggingface.co/datasets/wikimedia/structured-wikipedia/resolve/main/images/svgs.png" style="width: 400px; height:79px"/>
+Among many editorial policies regarding personal and sensitive information, particular care is paid by the community to biographies of living people. Details for each language community’s responses and norms can be found here: [Biographies of Living People policies](https://www.wikidata.org/wiki/Q4663389#sitelinks-wikipedia).
 
-More logo assets and guidance can be found on the [Wikipedia](https://foundation.wikimedia.org/wiki/Legal:Visual_identity_guidelines) and [Wikimedia](https://meta.wikimedia.org/wiki/Brand) Brand portals.
-Wikipedia favicons can be found on [Wikimedia Commons](https://commons.wikimedia.org/wiki/Category:Wikimedia_Attribution_Guide_Favicons).
+# Considerations for Using the Data
 
-To schedule a 30-minute brand attribution walkthrough or to request a customized solution, please email us at [brandattribution@wikimedia.org](mailto:brandattribution@wikimedia.org)
+## Social Impact of Dataset
 
-### Licensing Information
+Wikipedia’s articles are read over 20 billion times by half a billion people each month. Wikipedia does not belong to, or come from, a single culture or language. It is an example of mass international cooperation across languages and continents. Wikipedia is the only website among the world’s most visited that is operated by a nonprofit organization.
 
-All original textual content is licensed under the [GNU Free Documentation License](https://www.gnu.org/licenses/fdl-1.3.html) (GFDL) and the [Creative Commons Attribution-Share-Alike 4.0 License](https://creativecommons.org/licenses/by-sa/4.0/). Some text may be available only under the Creative Commons license; see the Wikimedia [Terms of Use](https://foundation.wikimedia.org/wiki/Policy:Terms_of_Use) for details. Text written by some authors may be released under additional licenses or into the public domain.
+Wikimedia projects have been used, and upsampled, as a core source of qualitative data in AI, ML, and LLM development. The Wikimedia Foundation has published an article on the value of Wikipedia in the age of generative AI: [Wikipedia in the age of generative AI](https://wikimediafoundation.org/news/).
 
-Derived dataset prepared by[ Wikimedia Enterprise](https://enterprise.wikimedia.com/). Wikipedia and Wikimedia Enterprise are registered trademarks of the[ Wikimedia Foundation, Inc.](https://www.wikimediafoundation.org/), a non-profit organization.
+There is also a community article about why Wikimedia data matters for ML on the Hugging Face blog. It highlights that Wikimedia data is rich and diverse, multimodal, community-curated, and openly licensed: [Wikimedia data matters for ML](https://huggingface.co/blog/wikimedia).
 
-For more information, see [dumps licensing information](https://dumps.wikimedia.org/legal.html) and [Wikimedia Enterprise Terms](https://enterprise.wikimedia.com/terms/).
+## Discussion of Biases
 
-### Citation Information
-```
+While consciously trying to present an editorially neutral point of view, Wikipedia’s content reflects [the biases of the society it comes from](https://wikimediafoundation.org/our-work/open-the-knowledge/otk-change-the-stats/). This includes various gaps, notably in both [the proportion of biographies of women and the proportion of editors who identify as women](https://wikimediafoundation.org/our-work/open-the-knowledge/wikipedia-needs-more-women/). Other significant gaps include linguistic accessibility, technical accessibility, and censorship.
+
+Because the content is written by its readers, ensuring the widest possible access to the content is crucial to reducing the biases of the content itself. There is continuous work to redress these biases through various social and technical efforts, both centrally and at the grassroots level around the world.
+
+## Other Known Limitations
+
+This is a beta version. The following limitations may apply:
+
+- A small percentage of duplicated, deleted, or missed articles may be part of the snapshot. Duplicates can be filtered out by looking at the highest `version.identifier`, which represents the most up-to-date revision of the article.
+- Revision discrepancies may occur due to limitations with long articles.
+- JSON-encoded volatile fields: to maintain a stable and unified schema across all shards, highly polymorphic fields such as `infoboxes`, `tables`, and `references.metadata` are stored as JSON-serialized strings. This prevents schema collisions caused by the unpredictable structure of Wikipedia templates. Users should apply `json.loads()` to these columns during preprocessing.
+- Nesting depth caps: Wikipedia’s hierarchical section structure can exceed the recursion limits of many columnar data tools. To ensure the files are loadable by standard libraries, deeply nested structures are flattened or JSON-encoded.
+
+Please let us know if there are other limitations that are not covered above.
+
+# Additional Information
+
+## Dataset Curators
+
+This dataset was created by the [Wikimedia Enterprise](https://enterprise.wikimedia.com/about/) team of the [Wikimedia Foundation](https://wikimediafoundation.org/) as part of the Structured contents initiative.
+
+## Attribution Information
+
+Attribution is essential to honor the open licenses governing Wikimedia’s community-driven content. It is also essential for fair acknowledgment and active awareness of Wikimedia’s community-driven content, and it is a key factor in the continued growth and sustainability of the free knowledge ecosystem.
+
+Reusers of Wikimedia content can provide relevant, up-to-date, and carefully curated content for their audiences while also helping to keep the circle of free, human-produced knowledge alive by protecting trust, ensuring transparency, and fostering participation.
+
+The [Wikimedia Attribution Framework](https://meta.wikimedia.org/wiki/Wikimedia_Attribution_Framework) provides guidelines that data reusers can follow to ensure that sources remain clear, recognizable, and consistent in external contexts. We recommend visiting the [Reuse Scenarios section](https://meta.wikimedia.org/wiki/Wikimedia_Attribution_Framework/Reuse_Scenarios) to learn how to attribute Wikimedia content according to your use case.
+
+Below is a simple overview of the main attribution signals that can be used when attributing Wikimedia content in line with its license and where those signals can be found in this dataset.
+
+### Essential Signals
+
+- **[Source](https://wikimedia-attribution.toolforge.org/attribution-signals/source.html):** State the project, for example “English Wikipedia,” using the `is_part_of.url` or `is_part_of.identifier` field.
+- **[Title](https://wikimedia-attribution.toolforge.org/attribution-signals/title.html):** The title of a page can be derived from its URL or found in the `name` field.
+- **[Link](https://wikimedia-attribution.toolforge.org/attribution-signals/link.html):** The link to the Wikipedia page itself can be found in the `url` field. You can use the `name` field and hyperlink it to the URL.
+- **[Credit](https://wikimedia-attribution.toolforge.org/attribution-signals/credit.html):** This dataset does not include individual author metadata for images. To satisfy licensing, ensure that the Wikipedia URL is immediately accessible so users can find the original author and license on Wikimedia Commons, or ideally add this metadata yourself.
+- **[License](https://wikimedia-attribution.toolforge.org/attribution-signals/license.html):** The license of the data being surfaced can be found in the `license` field. Be aware that data from linked URLs in this dataset may have a different license, for example media files from Wikimedia Commons that are often linked from Wikipedia articles.
+- **[Modification](https://wikimedia-attribution.toolforge.org/attribution-signals/modification-disclaimer.html):** Clearly state if the content has been modified, summarized, transformed, or aggregated.
+- **[Brand mark](https://wikimedia-attribution.toolforge.org/attribution-signals/brand-mark.html):** Use official Wikimedia visual identity where appropriate for quick recognition. See also the [Wikimedia Foundation Visual Identity Guidelines](https://foundation.wikimedia.org/wiki/Legal:Visual_identity_guidelines).
+
+Example:
+
+> <img src="https://upload.wikimedia.org/wikipedia/commons/2/2e/Wikipedia_W_favicon_on_white_background.png" alt="Wikipedia W Logo" width="24" style="vertical-align:middle;" > Source: [NASA](https://en.wikipedia.org/wiki/NASA) on English Wikipedia, [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
+
+### Beyond the Basics: Trust & Relevance and Ecosystem Growth signals
+
+We encourage reusers to go beyond legal minimums by surfacing [Trust & Relevance signals](https://wikimedia-attribution.toolforge.org/attribution-signals/overview.html#trust-and-relevance-signals), such as Contributor counts, Reference counts, and Last-updated timestamps, etc. These signals tell your users that the information is backed by a living, collaborative community of human editors.
+
+[Ecosystem growth signals](https://wikimedia-attribution.toolforge.org/attribution-signals/overview.html#ecosystem-growth-signals) are designed to sustain the cycle of free knowledge by inviting users to participate or donate to Wikimedia projects.
+
+## Tools & Resources
+
+- [Wikimedia Attribution Framework](https://wikimedia-attribution.toolforge.org/): Detailed guidelines for various reuse scenarios (Search, AI, Social Media).
+- [Attribution API](https://www.mediawiki.org/wiki/Attribution_API): A developer-friendly tool to programmatically fetch rich attribution signals not included in this static snapshot.
+- Read more: [A Better Way to Give Credit: Introducing the Wikimedia Attribution Framework and API](https://diff.wikimedia.org/2026/05/18/a-better-way-to-give-credit-introducing-the-wikimedia-attribution-framework-and-api/)
+- Support: To request a brand attribution walkthrough or a customized solution, contact [brandattribution@wikimedia.org](mailto:brandattribution@wikimedia.org).
+
+## Citation Information
+
+If you are using this dataset for research, model training, or benchmarking, please cite this specific distribution so others can reproduce your work.
+
+General citation:
+
+> Wikimedia Enterprise Structured Contents Dataset (2026), English and French editions. Distributed by Wikimedia Enterprise, via Hugging Face.
+
+```bibtex
 @ONLINE{structured-wikipedia,
   author = {Wikimedia Enterprise, Wikimedia Foundation},
-  title = {Structured Wikipedia},
-  month = {sep},
-  year= {2024}
+  title = {Structured Contents Wikipedia},
+  month = {may},
+  year = {2026}
 }
-```
\ No newline at end of file
+```
+
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