Update dataset card

README.md

@@ -1,26 +1,56 @@
----
-license: mit
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-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
-  splits:
-  - name: train
-    num_bytes: 139528
-    num_examples: 20
-  download_size: 94517
-  dataset_size: 139528
----
+---
+datasets:
+- juno-labs/simple_wikipedia
+language:
+- en
+license: cc-by-sa-3.0
+source_datasets:
+- wikipedia
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*.parquet
+tags:
+- simple-wikipedia
+- markdown
+- sqlite
+---
+
+# Simple English Wikipedia (Markdown)
+
+- Dump date: 2025-12-01
+- Source dump: https://dumps.wikimedia.org/simplewiki/20251201/simplewiki-20251201-pages-articles.xml.bz2
+- SHA-1: ee583946e86857e9f1e155f80bd3cd8b5d6dade7
+- Records: 20
+- Refresh cadence: Weekly on Sundays at 11:00 UTC
+
+## Dataset Structure
+
+Columns:
+- `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).
+
+## Processing
+
+- Downloaded `pages-articles` XML dump and verified SHA-1.
+- Kept only namespace 0 articles and skipped redirects.
+- Stripped templates and reference tags, preserved headings, and converted wiki links to markdown links.
+- 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
+
+Load with `datasets`:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("juno-labs/simple_wikipedia", split="train")
+print(ds[0])
+```
+
+The SQLite file `simplewiki-20251201-articles.sqlite` contains identical columns for tooling that prefers SQL.