Synthetic dataset for end-to-end Relation Extraction of relationships between Organisms and Natural-Products with Mixtral-8x7B-Instruct-v0.1

<p>A new synthetic dataset (training/validation) for end-to-end Relation Extraction of relationships between Organisms and Natural-Products.</p> <p>The new dataset was generated using <a href="https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1">Mixtral-8x7B-Instruct-v0.1</a>. Like the model, the produced synthetic data are also submitted to the License of the model used for generation (apache-2.0).</p> <p>The new dataset was created based on the top-1000 (per biological kingdom) LOTUS literature references extracted with the <a href="https://github.com/idiap/gme-sampler">GME-sampler</a>.</p> <p>The dataset contains 8,913 items in the training set and 344 items in the validation set.</p> <p>The dataset was generated using the same protocol as described in the article.</p>