chore: update README.md

README.md

@@ -8,7 +8,9 @@ viewer: false
 
 <!-- Provide a quick summary of the dataset. -->
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+This dataset aims to improve the representation of underrepresented topics and entities in entity extractors, thereby improving entity extraction accuracy and generalization, especially on the latest news events (dataset represents broad news coverage between February 20-March 31, 2024). The dataset is a collection of news article summaries, translated and summarized with Llama2, and then entities extracted with Llama3. The distribution of data origin follows:
+
+![countries distribution](figures/countries_distribution.png)
 
 ## Dataset Details
 
@@ -101,7 +103,6 @@ Present dataset curation:
 5. Pull samples from clusters, distributing evenly across country of origin.
 6. Extract entities from each summary using Llama3.
 
-![countries distribution](figures/countries_distribution.png)
 
 The data was used to train `GLiNER-news`, which is a fine-tuned version of `GLiNER`, geared towared improved entity extraction on news articles. The fine-tune improved performance for nearly all benchmarks (even beyond news):