Synthetic dataset for end-to-end Relation Extraction of relationships between Organisms and Natural-Products with Mixtral-8x7B-Instruct-v0.1
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A new synthetic dataset (training/validation) for end-to-end Relation Extraction of relationships between Organisms and Natural-Products. The new dataset was generated using Mixtral-8x7B-Instruct-v0.1. Like the model, the produced synthetic data are also submitted to the License of the model used for generation (apache-2.0). The new dataset was created based on the top-1000 (per biological kingdom) LOTUS literature references extracted with the GME-sampler. The dataset contains 8,913 items in the training set and 344 items in the validation set. The dataset was generated using the same protocol as described in the article.
一款面向生物体与天然产物之间关系的端到端关系抽取(end-to-end Relation Extraction)任务的新型合成训练/验证数据集。本数据集通过Mixtral-8x7B-Instruct-v0.1生成,与该模型一致,所生成的合成数据同样遵循生成所用模型的许可证协议(Apache-2.0)。本数据集基于通过GME-sampler提取的、按生物界划分的前1000条LOTUS文献参考文献构建而成。该数据集包含训练集样本8913条,验证集样本344条。本数据集的生成流程与该文章中所述的方法完全一致。



