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-license: cc-by-4.0
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+Below is a sample README you can adapt for your Hugging Face repository. Feel free to modify the text or structure to suit your needs!
+
+---
+
+# Wikidata 2018-12-17 JSON Dump
+
+This repository hosts a 2018 snapshot of the Wikidata JSON dump. The dataset was originally found on [Zenodo (Record #4436356)](https://zenodo.org/record/4436356).
+
+## Dataset Description
+
+- **Source**: [Wikidata](https://www.wikidata.org/) — Wikidata is a free and open knowledge base that can be read and edited by both humans and machines.
+- **Date of Dump**: 2018-12-17
+- **Size**: ~ (size in GB)
+- **File Format**: `.json.gz` (gzipped JSON).  
+  - This file contains a top-level JSON array, with each element representing a single Wikidata entity.
+
+### License
+
+Wikidata’s data is published under the [Creative Commons CC0 1.0 Universal Public Domain Dedication (CC0)](https://creativecommons.org/publicdomain/zero/1.0/). You can use this dataset freely for any purpose without copyright restriction. However, attribution to [Wikidata](https://www.wikidata.org/) is strongly encouraged as a best practice.  
+
+**Important**: Some associated media, such as images referenced within Wikidata items, may be under different licenses. The JSON data itself is CC0.
+
+## How to Cite
+
+If you use this dataset in your work, please cite:
+
+- **Wikidata**:  
+  ```
+  Wikidata contributors. (2018). Wikidata (CC0 1.0 Universal). 
+  Retrieved from https://www.wikidata.org/
+  ```
+- **Original Zenodo Record** (optional):  
+  ```
+  Wikidata JSON dumps. Zenodo. 
+  https://zenodo.org/record/4436356
+  ```
+
+## How to Use
+
+This dump is ready to use. It’s stored as a gzipped JSON array where each array element is a single Wikidata entity.
+
+### Example: Python Code to Stream the JSON
+
+Below is a sample script showing how to read the dump without fully decompressing it on disk. This uses the [ijson](https://pypi.org/project/ijson/) library for iterative JSON parsing.
+
+```python
+import gzip
+import ijson
+
+def stream_wikidata_array(gz_file_path):
+    """
+    Streams each element from a top-level array in the gzipped JSON.
+    Yields Python dicts (or lists), one for each array element.
+    """
+    with gzip.open(gz_file_path, 'rb') as f:
+        # 'item' means "each element of the array"
+        for element in ijson.items(f, 'item'):
+            yield element
+
+if __name__ == "__main__":
+    # Replace with the path to your Wikidata dump
+    wikidata_path = r"E:\wikidata\20181217.json.gz"
+    
+    # Just print the first few records
+    max_to_print = 5
+    for i, record in enumerate(stream_wikidata_array(wikidata_path), start=1):
+        print(f"Record #{i}:")
+        print(record)
+        
+        if i >= max_to_print:
+            print("...stopping here.")
+            break
+```
+
+You can adapt this approach to load the data into your own workflow, whether that’s local analysis, a database import, or a big data pipeline.
+
+## Disclaimer
+
+- This snapshot is from 2018 and **will not** be up-to-date with the current Wikidata database.
+- This repository and uploader are not affiliated with the Wikimedia Foundation or the official Wikidata project beyond using their data.
+- Please ensure you comply with any relevant data protection or privacy regulations when using this dataset in production.
+
+---
+
+*Thank you for your interest in Wikidata and open knowledge!*
+
+---
+license: cc-by-4.0
+---