Update README.md

README.md

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 ---
 license: apache-2.0
 language:
-  - en
+- en
 pipeline_tag: token-classification
+datasets:
+- Universal-NER/Pile-NER-type
 ---
 
 # Model Card for GLiNER-base
 
 GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibility, are costly and large for resource-constrained scenarios.
 
+This version has been trained on the Pile-NER dataset (Research purpose). Commercially permission versions are available (urchade/gliner_smallv2, urchade/gliner_mediumv2, urchade/gliner_largev2)
+
+
 ## Links
 
 * Paper: https://arxiv.org/abs/2311.08526
@@ -78,4 +83,4 @@ The model authors are:
       archivePrefix={arXiv},
       primaryClass={cs.CL}
 }
-```
+```