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
---