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---
task_categories:
- text2text-generation
language:
- en
pretty_name: T
size_categories:
- 1M<n<10M
---
# TempKB
## Overview
TempKB is a comprehensive collection of knowledge graph data designed to train ML models on knowledge graph completion and reasoning tasks.
## Dataset Structure
The dataset is organized into the following main components:
Train Set: 7764337 instances for training models.
Validation Set: 117510 instances for validating model performance.
Test Set: 117327 instances for final evaluation.
## Data Fields
Each instance in the dataset contains the following fields:
- `head`: the head entity
- `relation`: the relationships between the head and tail entities
- `tail`: the tail entity
- `start`: start time of the event
- `end`: end time of the event
- `type`: temporal information type, which is one of the following:
- `NONE`: no start or end time
- `TIMESTAMP`: start time only
- `INTERVAL`: start and end time
## Example Instance
```json
{
"head": "Martin Bača"
"relation": "member of sports team"
"tail": "Czech Republic national under-18 football team"
"start": "2002-01-01"
"end": "2002-01-01"
"type": "INTERVAL"
}
```
## Usage
To use this dataset, you can load it using the Hugging Face datasets library:
```python
from datasets import load_dataset
dataset = load_dataset('ESITime/TempKB', keep_default_na=False)
```
## License
This dataset is unlicensed. Feel free to use it as you want.
## Citation
If you use this dataset in your research, please cite it as follows:
```bib
@dataset{username_dataset_name_year,
author = {Phuong Ngo},
title = {TempKB},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/ESITime/TempKB}
}
```
## Acknowledgement
This dataset is derived from the collection of knowledge graph datasets including ICEWS05-15, ICEWS14, Wikidata, and YAGO. The datasets are downloaded from the processed version by Facebook Research: https://github.com/facebookresearch/tkbc/ |