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---
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# TempKB
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## Overview
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TempKB is a comprehensive collection of knowledge graph data designed to train ML models on knowledge graph completion and reasoning tasks.
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## Dataset Structure
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The dataset is organized into the following main components:
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Train Set: 7764337 instances for training models.
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Validation Set: 117510 instances for validating model performance.
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Test Set: 117327 instances for final evaluation.
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## Data Fields
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Each instance in the dataset contains the following fields:
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- `head`: the head entity
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- `relation`: the relationships between the head and tail entities
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- `tail`: the tail entity
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- `start`: start time of the event
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- `end`: end time of the event
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- `type`: temporal information type, which is one of the following:
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- `NONE`: no start or end time
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- `TIMESTAMP`: start time only
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- `INTERVAL`: start and end time
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## Example Instance
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```json
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{
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"head": "Martin Bača"
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"relation": "member of sports team"
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"tail": "Czech Republic national under-18 football team"
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"start": "2002-01-01"
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"end": "2002-01-01"
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"type": "INTERVAL"
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}
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```
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## Usage
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To use this dataset, you can load it using the Hugging Face datasets library:
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```python
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from datasets import load_dataset
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dataset = load_dataset('ESITime/TempKB')
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```
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## License
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This dataset is unlicensed. Feel free to use it as you want.
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## Citation
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If you use this dataset in your research, please cite it as follows:
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```bib
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@dataset{username_dataset_name_year,
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author = {Phuong Ngo},
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title = {TempKB},
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year = {2024},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/ESITime/TempKB}
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}
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```
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## Acknowledgement
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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/
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