Update dataset card

README.md

@@ -10,65 +10,26 @@ configs:
 - config_name: default
   data_files:
   - split: train
-    path: data/train-*
+    path: data/train-*.parquet
 tags:
 - simple-wikipedia
 - wikipedia
 - markdown
 - sqlite
-dataset_info:
-  features:
-  - name: page_id
-    dtype: int64
-  - name: title
-    dtype: string
-  - name: content
-    dtype: string
-  - name: content_no_link
-    dtype: string
-  - name: importance
-    dtype: string
-  - name: truncated
-    dtype: bool
-  - name: error
-    dtype: bool
-  splits:
-  - name: train
-    num_bytes: 801895499
-    num_examples: 274447
-  download_size: 434287948
-  dataset_size: 801895499
 ---
 
 # Simple English Wikipedia (Markdown)
 
 Recurring weekly snapshot of Simple English Wikipedia (https://simple.wikipedia.org/), which uses shorter sentences and limited vocabulary compared to the main English Wikipedia. This makes it smaller, easier to parse, and better suited for on-device or bandwidth‑constrained assistants while still covering broad general knowledge. Ideal as an offline Wikipedia MCP server backing a household AI assistant.
 
-- Dump date: 2025-12-01
-- Source dump: https://dumps.wikimedia.org/simplewiki/20251201/simplewiki-20251201-pages-articles.xml.bz2
-- SHA-1: ee583946e86857e9f1e155f80bd3cd8b5d6dade7
-- Records: 273522
+- Dump date: 2025-12-20
+- Source dump: https://dumps.wikimedia.org/simplewiki/20251220/simplewiki-20251220-pages-articles.xml.bz2
+- SHA-1: 4a236585535cb0516c0009f99102133b2a578b21
+- Records: 274447
 - Refresh cadence: Weekly on Sundays at 11:00 UTC
 
 ## Dataset Structure
 
-- Hugging Face split: `train`
-- SQLite mirror: `simplewiki.sqlite` (contains `pages` and `infobox` tables)
-
-## Hugging Face Dataset Columns (train split)
-
-- `page_id` (int64): Unique page identifier from Wikimedia dump.
-- `title` (string): Article title.
-- `content` (string): Article body converted to markdown with internal and external links preserved.
-- `content_no_link` (string): Same content with markdown links stripped to plain text.
-- `importance` (string): Importance for a household smart speaker assistant (`low`, `medium`, `high`, or `unknown` when not categorized).
-- `truncated` (bool): `true` when the source article exceeded 40,000 characters; only the first two paragraphs are parsed and stored in this case; otherwise `false`.
-- `error` (bool): `true` when the article could not be parsed (content fields are empty in this case); otherwise `false`.
-
-## SQLite Database
-
-### `pages` table
-
 Columns:
 - `page_id` (int64): Unique page identifier from Wikimedia dump.
 - `title` (string): Article title.
@@ -78,38 +39,13 @@ Columns:
 - `truncated` (bool): `true` when the source article exceeded 40,000 characters; only the first two paragraphs are parsed and stored in this case; otherwise `false`.
 - `error` (bool): `true` when the article could not be parsed (content fields are empty in this case); otherwise `false`.
 
-Example:
-
-```bash
-sqlite3 simplewiki.sqlite "SELECT page_id, title, substr(content,1,200) || '...' AS preview FROM pages ORDER BY page_id LIMIT 5;"
-```
-
-### `infobox` table
-
-Columns:
-- `page_id` (int64): Page ID of the article the infobox belongs to.
-- `article_title` (string): Title of the article.
-- `infobox_type` (string): Template type (e.g., `country`, `person`, `airport`).
-- `label` (string): Raw parameter name from the infobox template.
-- `value` (string): Cleaned text value with wiki links flattened to plain text.
-
-Examples:
-
-```bash
-# All fields for Australia
-sqlite3 simplewiki.sqlite "SELECT label, value FROM infobox WHERE page_id = 27 ORDER BY label LIMIT 10;"
-
-# Join back to article text
-sqlite3 simplewiki.sqlite "SELECT p.title, i.label, i.value FROM infobox i JOIN pages p ON p.page_id = i.page_id WHERE i.infobox_type = 'country' AND i.label = 'capital' LIMIT 5;"
-```
-
 ## Processing
 
 - Downloaded `pages-articles` XML dump and verified SHA-1.
 - Kept only namespace 0 articles, skipped redirects, and dropped titles beginning with “List of”.
 - Stripped templates/ref/gallery blocks and file/category links; converted headings, lists, tables, and internal/external links to Markdown with page IDs.
-- Stored a SQLite mirror with both `pages` and `infobox` tables; infobox templates are flattened into rows with cleaned text values.
-- Markdown links point to the target page's numeric ID for fast lookup without a title-to-ID join; infobox values have links stripped to plain text for ease of use.
+- Stored a SQLite mirror (`pages` table) alongside the Hugging Face dataset.
+- Markdown links point to the target page's numeric ID for fast lookup without a title-to-ID join.
 
 ## Usage
 
@@ -122,13 +58,10 @@ ds = load_dataset("juno-labs/simple_wikipedia", split="train")
 print(ds[0])
 ```
 
-SQLite usage (`simplewiki.sqlite` mirrors the same columns plus `infobox`):
+SQLite usage (`simplewiki.sqlite` mirrors the same columns):
 
 ```bash
 sqlite3 simplewiki.sqlite "SELECT page_id, title, substr(content,1,200) || '...' FROM pages LIMIT 5;"
-
-# Infobox lookup example (Australia):
-sqlite3 simplewiki.sqlite "SELECT label, value FROM infobox WHERE page_id = 27 ORDER BY label LIMIT 5;"
 ```
 
 You can also mount it in code:
@@ -148,10 +81,10 @@ Importance labels indicate how useful an article is for day-to-day offline house
 
 - Model: openai/gpt-oss-120b
 - distribution:
-  - low: 67.78%
-  - medium: 29.85%
-  - high: 2.35%
-  - unknown: 0.02%
+  - low: 2.23%
+  - medium: 5.15%
+  - high: 1.19%
+  - unknown: 91.43%
 
 Prompt template:
 ```