metadata

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

{
  "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:

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:

@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/