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README.md

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----
-license: mit
-dataset_info:
-  features:
-  - name: wikipedia_id
-    dtype: string
-  - name: wikipedia_title
-    dtype: string
-  - name: popularity_avg
-    dtype: float64
-  - name: rank_avg
-    dtype: float64
-  - name: years_count
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 316632756.6
-    num_examples: 5313177
-  - name: test
-    num_bytes: 35181417.4
-    num_examples: 590353
-  download_size: 270015052
-  dataset_size: 351814174.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
----
+---
+license: mit
+task_categories:
+  - other
+  - text-classification
+language:
+  - en
+size_categories:
+  - 1M<n<10M
+tags:
+  - wikipedia
+  - pageviews
+  - popularity
+  - knowledge-graph
+  - bias-detection
+  - multi-year
+---
+
+# English Wikipedia Pageviews (Multi-Year Average 2020-2023)
+
+This dataset combines Wikipedia article pageviews across multiple years (2020, 2021, 2022, 2023) into a single multi-year average. It provides more stable popularity metrics by averaging across years, reducing the impact of temporary spikes or trends.
+
+## Dataset Description
+
+This dataset was created by:
+1. Downloading individual yearly datasets (`Cyro1/enwiki_pageviews_YEAR_m`)
+2. Combining all years for each article
+3. Calculating the mean popularity and rank across all available years
+
+## 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 all years |
+| `rank_avg` | float64 | Average rank across all years |
+| `years_count` | int64 | Number of years this article appeared in (1-4) |
+
+## Stats
+
+- **Articles**: 5,903,530 Wikipedia articles
+- **Years Combined**: 2020, 2021, 2022, 2023
+- **Source**: Wikimedia pageview dumps, aggregated from yearly datasets
+- **Split**: 90% train / 10% test (seed=42)
+
+## Advantages of Multi-Year Averaging
+
+- **Reduced variance**: Averages out seasonal variations and temporary events
+- **More stable metrics**: Better represents long-term article importance
+- **Robust to outliers**: Single-year spikes have less impact
+- **Better for research**: More suitable for studying structural popularity bias
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the multi-year dataset
+ds = load_dataset("Cyro1/enwiki_pageviews_m")
+df = ds["train"].to_pandas()
+
+# Merge with your dataset
+merged = your_df.merge(
+    df[["wikipedia_id", "popularity_avg", "rank_avg", "years_count"]], 
+    left_on="document_id", 
+    right_on="wikipedia_id",
+    how="left"
+)
+
+# Filter to articles present in all years for most stable metrics
+stable_articles = df[df["years_count"] == 4]
+```
+
+## Related Datasets
+
+Individual yearly datasets are also available:
+- [`Cyro1/enwiki_pageviews_2020_m`](https://huggingface.co/datasets/Cyro1/enwiki_pageviews_2020_m)
+- [`Cyro1/enwiki_pageviews_2021_m`](https://huggingface.co/datasets/Cyro1/enwiki_pageviews_2021_m)
+- [`Cyro1/enwiki_pageviews_2022_m`](https://huggingface.co/datasets/Cyro1/enwiki_pageviews_2022_m)
+- [`Cyro1/enwiki_pageviews_2023_m`](https://huggingface.co/datasets/Cyro1/enwiki_pageviews_2023_m)
+
+## Citation
+
+If you use this dataset in your research, please cite the Wikimedia pageview dumps:
+
+```
+@misc{wikimedia_pageviews,
+  title = {Wikimedia Downloads},
+  author = {Wikimedia Foundation},
+  year = {2024},
+  url = {https://dumps.wikimedia.org/other/pageviews/}
+}
+```
+
+## License
+
+This dataset is released under the MIT license, following the terms of the Wikimedia pageview data.