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README.md

@@ -1,29 +1,51 @@
----
-license: mit
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
-dataset_info:
-  features:
-  - name: wikipedia_id
-    dtype: string
-  - name: wikipedia_title
-    dtype: string
-  - name: popularity_avg
-    dtype: float64
-  - name: rank_avg
-    dtype: float64
-  splits:
-  - name: train
-    num_bytes: 274127340.6
-    num_examples: 5313177
-  - name: test
-    num_bytes: 30458593.4
-    num_examples: 590353
-  download_size: 261833917
-  dataset_size: 304585934.0
----
+---
+license: mit
+task_categories:
+  - other
+  - text-classification
+language:
+  - en
+size_categories:
+  - 1M<n<10M
+tags:
+  - wikipedia
+  - pageviews
+  - popularity
+  - knowledge-graph
+  - bias-detection
+---
+
+# English Wikipedia Pageviews 2020 (Monthly Average)
+
+This dataset links Wikipedia article IDs (from the 1st September 2019 Wikipedia dump) to their average monthly pageviews recorded during 2020.
+
+## Features
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `wikipedia_id` | int64 | Wikipedia article ID (page_id) |
+| `wikipedia_title` | string | Wikipedia article title |
+| `popularity_avg` | float64 | Average monthly pageviews across 2020 |
+| `rank_avg` | float64 | Average rank of the article |
+
+## Stats
+
+- **Articles**: 6.4M Wikipedia articles
+- **Source**: Wikimedia pageview dumps for 2020
+- **Split**: 90% train / 10% test (seed=42)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("Cyro1/enwiki_pageviews_2021_m")
+df = ds["train"].to_pandas()
+
+# Merge with your dataset
+merged = your_df.merge(
+    df[["wikipedia_id", "monthly_avg_pageviews"]], 
+    left_on="document_id", 
+    right_on="wikipedia_id"
+)
+```