knowledge-graph =============== WN11 ---- Originally from https://github.com/yao8839836/kg-bert/tree/master/data/WN11 ChatGPT KG generation --------------------- download ~~~~~~~~ 1. https://huggingface.co/datasets/mesolitica/chatgpt-kg-triplets/resolve/main/kg-astroawani.jsonl 2. https://huggingface.co/datasets/mesolitica/chatgpt-kg-triplets/resolve/main/kg-astroawani.translated.jsonl ChatGPT KG generation --------------------- download ~~~~~~~~ 1. https://huggingface.co/datasets/mesolitica/chatgpt-kg-triplets/resolve/main/kg-paragraph-wikipedia.jsonl 2. https://huggingface.co/datasets/mesolitica/chatgpt-kg-triplets/resolve/main/kg-paragraph-wikipedia.translated.jsonl CODEX ----- Original website, https://github.com/tsafavi/codex download ~~~~~~~~ 1. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/codex/codex-entities.json.translate 2. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/codex/codex-relations.json.translate 3. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/codex/codex-l.tar.gz 4. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/codex/codex-m.tar.gz 5. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/codex/codex-s.tar.gz Citation ~~~~~~~~ .. code:: bibtex @misc{safavi2020codex, title={CoDEx: A Comprehensive Knowledge Graph Completion Benchmark}, author={Tara Safavi and Danai Koutra}, year={2020}, eprint={2009.07810}, archivePrefix={arXiv}, primaryClass={cs.CL} } DBpedia500 ---------- Original website, https://github.com/tsafavi/codex download ~~~~~~~~ 1. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/dbpedia500/dbpedia500.tar.gz Citation ~~~~~~~~ .. code:: bibtex Shi, B., & Weninger, T. (2018). Open-World Knowledge Graph Completion. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/11535 FB13 ---- Originally from https://github.com/yao8839836/kg-bert/tree/master/data/FB13 FB15k ----- Originally from https://github.com/yao8839836/kg-bert/tree/master/data/FB15K KELM ---- Original website, https://github.com/google-research-datasets/KELM-corpus Original paper, https://arxiv.org/abs/2010.12688 download ~~~~~~~~ Entire dataset can download at https://huggingface.co/datasets/mesolitica/translated-KELM/tree/main Citation ~~~~~~~~ .. code:: bibtex @article{DBLP:journals/corr/abs-2010-12688, author = {Oshin Agarwal and Heming Ge and Siamak Shakeri and Rami Al{-}Rfou}, title = {Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training}, journal = {CoRR}, volume = {abs/2010.12688}, year = {2020}, url = {https://arxiv.org/abs/2010.12688}, archivePrefix = {arXiv}, eprint = {2010.12688}, timestamp = {Mon, 02 Nov 2020 18:17:09 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2010-12688.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} } REBEL ----- Original website, https://github.com/Babelscape/rebel Original paper, https://github.com/Babelscape/rebel/blob/main/docs/EMNLP_2021_REBEL__Camera_Ready_.pdf download ~~~~~~~~ Entire dataset can download at https://huggingface.co/datasets/mesolitica/translated-REBEL/tree/main Citation ~~~~~~~~ .. code:: bibtex @inproceedings{huguet-cabot-navigli-2021-rebel-relation, title = "{REBEL}: Relation Extraction By End-to-end Language generation", author = "Huguet Cabot, Pere-Llu{\'\i}s and Navigli, Roberto", booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021", month = nov, year = "2021", address = "Punta Cana, Dominican Republic", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2021.findings-emnlp.204", pages = "2370--2381", abstract = "Extracting relation triplets from raw text is a crucial task in Information Extraction, enabling multiple applications such as populating or validating knowledge bases, factchecking, and other downstream tasks. However, it usually involves multiple-step pipelines that propagate errors or are limited to a small number of relation types. To overcome these issues, we propose the use of autoregressive seq2seq models. Such models have previously been shown to perform well not only in language generation, but also in NLU tasks such as Entity Linking, thanks to their framing as seq2seq tasks. In this paper, we show how Relation Extraction can be simplified by expressing triplets as a sequence of text and we present REBEL, a seq2seq model based on BART that performs end-to-end relation extraction for more than 200 different relation types. We show our model{'}s flexibility by fine-tuning it on an array of Relation Extraction and Relation Classification benchmarks, with it attaining state-of-the-art performance in most of them.", } TEKGEN ------ Original website, https://github.com/google-research-datasets/KELM-corpus Original paper, https://arxiv.org/abs/2010.12688 download ~~~~~~~~ 1. quadruples-validation.jsonl, https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/tekgen/quadruples-validation.jsonl 2. quadruples-test.jsonl, https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/tekgen/quadruples-test.jsonl 3. splitted-quadruples-train.tsv00.translated, https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/tekgen/splitted-quadruples-train.tsv00.translated 4. splitted-quadruples-train.tsv01.translated, https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/tekgen/splitted-quadruples-train.tsv01.translated 5. splitted-quadruples-train.tsv02.translated, https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/tekgen/splitted-quadruples-train.tsv02.translated 6. splitted-quadruples-train.tsv03.translated, https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/tekgen/splitted-quadruples-train.tsv03.translated 7. splitted-quadruples-train.tsv04.translated, https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/tekgen/splitted-quadruples-train.tsv04.translated 8. splitted-quadruples-train.tsv05.translated, https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/tekgen/splitted-quadruples-train.tsv05.translated 9. splitted-quadruples-train.tsv06.translated, https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/tekgen/splitted-quadruples-train.tsv06.translated Citation ~~~~~~~~ .. code:: bibtex @article{DBLP:journals/corr/abs-2010-12688, author = {Oshin Agarwal and Heming Ge and Siamak Shakeri and Rami Al{-}Rfou}, title = {Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training}, journal = {CoRR}, volume = {abs/2010.12688}, year = {2020}, url = {https://arxiv.org/abs/2010.12688}, archivePrefix = {arXiv}, eprint = {2010.12688}, timestamp = {Mon, 02 Nov 2020 18:17:09 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2010-12688.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} } Wikidata5M ---------- Original website, https://deepgraphlearning.github.io/project/wikidata5m download ~~~~~~~~ 1. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m.tar.gz 2. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m_entity.txt-0.translated 3. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m_entity.txt-1.translated 4. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m_entity.txt-2.translated 5. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m_entity.txt-3.translated 6. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m_entity.txt-4.translated 7. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m_entity.txt-5.translated 8. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m_entity.txt-6.translated 9. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m_entity.txt-7.translated 10. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m_entity.txt-8.translated 11. https://f000.backblazeb2.com/file/malay-dataset/knowledge-graph/wikidata5m/wikidata5m_entity.txt-9.translated Citation ~~~~~~~~ .. code:: bibtex @article{wang2019kepler, title={KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation}, author={Wang, Xiaozhi and Gao, Tianyu and Zhu, Zhaocheng and Liu, Zhiyuan and Li, Juanzi and Tang, Jian}, journal={arXiv preprint arXiv:1911.06136}, year={2019} }