---
dataset_info:
  features:
  - name: wiki_title
    dtype: string
  - name: qid
    dtype: string
  - name: description
    dtype: string
  splits:
  - name: en
    num_bytes: 1938197
    num_examples: 26205
  download_size: 1256160
  dataset_size: 1938197
configs:
- config_name: default
  data_files:
  - split: en
    path: data/en-*
license: mit
language:
- en
tags:
- Wikidata
- Wikipedia
- Description
- Entity
- QID
- Knowledge

---

# Wikidata Descriptions Dataset
`wikidata_descriptions` pairs English Wikipedia article titles (`wiki_title`) and their Wikidata IDs (`qid`) with the **English "description"** available in Wikidata.  
The corpus contains **26 205 entities**.
Wikidata descriptions are short, one-line summaries that concisely state what an entity is.  
They can be used as lightweight contextual information in entity linking, search, question answering, knowledge-graph completion and many other NLP / IR tasks.

---

## Dataset Structure
```python
from datasets import load_dataset
ds = load_dataset("masaki-sakata/wikidata_descriptions", split="en")
print(ds)
# Dataset({
#   features: ['wiki_title', 'qid', 'description'],
#   num_rows: 26205
# })
```

Field description:
| column       | type   | description                                                        |
|--------------|--------|--------------------------------------------------------------------|
| `wiki_title` | str    | Title of the corresponding English Wikipedia article               |
| `qid`        | str    | Wikidata identifier, e.g. `Q7156`                                  |
| `description`| str    | English one-line description provided by Wikidata (CC-0)           |

Example:
```json
{
	"wiki_title": "Michael Jordan",
	"qid": "Q41421",
	"description": "American basketball player and businessman (born 1963)"
}
```

## Quick Usage Example
```python
from datasets import load_dataset
ds = load_dataset("masaki-sakata/wikidata_descriptions", split="en")
# Retrieve the first 3 entities
for record in ds.select(range(3)):
    print(record)
```

---

## Source & Construction
1. **Seed list**  
   [`masaki-sakata/entity_popularity`](https://huggingface.co/datasets/masaki-sakata/entity_popularity) (English split) provides `wiki_title` and `qid`.
2. **Enrichment**  
   For every `qid`, we queried the Wikidata API (`wbgetentities`, language = `en`) and kept the English description if present.
3. **Filtering**  
   Rows with empty or missing descriptions were dropped, resulting in 26 205 items.
4. **License**  
   All descriptions originate from Wikidata and are released under CC-0.  
   The dataset as a whole is distributed under the MIT License.

---