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SLIMER-PARALLEL-LLaMA3

Text Generation

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andrewzamai commited on Nov 4, 2024

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Update README.md

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@@ -23,7 +23,7 @@ SLIMER is an LLM specifically instructed for zero-shot NER on English language.
 SLIMER for Italian language can be found at: https://huggingface.co/expertai/LLaMAntino-3-SLIMER-IT
-Instructed on a reduced number of samples, it is designed to tackle never-seen-before Named Entity tags by leveraging a prompt enriched with a DEFINITION and GUIDELINES for the NE to be extracted.
 <!DOCTYPE html>
 <html>
@@ -84,9 +84,11 @@ Instructed on a reduced number of samples, it is designed to tackle never-seen-b
             <p><b>Instruction:</b> Extract the entities of type <b>[NEs_list]</b> from the text chunk you have read. Be aware that not all of these entities are necessarily present. Do not extract entities that do not exist in the text, return an empty list for that tag. Ensure each entity is assigned to only one appropriate class.</p>
             <p>To help you, here are dedicated Definition and Guidelines for each entity tag.</p>
             <div class="definition">
-            <p>{<b>"NE_type_1":</b>: {"Definition": "", "Guidelines": ""}}</p>
             <p><b> ... </b>
-            <p>{<b>"NE_type_N":</b>: {"Definition": "", "Guidelines": ""}}</p>
             </div>
             <p>Return only a JSON object. The JSON should strictly follow this format: {"NE_type_1": [], ..., "NE_type_N":[]}. DO NOT output anything else, just the JSON itself.</p>
             <p><b><|eot_id|><|start_header_id|>assistant<|end_header_id|></b></p>

 SLIMER for Italian language can be found at: https://huggingface.co/expertai/LLaMAntino-3-SLIMER-IT
+Instructed on a reduced number of samples, it is designed to tackle never-seen-before Named Entity tags by leveraging a prompt enriched with a DEFINITION and GUIDELINES for the NEs to be extracted.
 <!DOCTYPE html>
 <html>
             <p><b>Instruction:</b> Extract the entities of type <b>[NEs_list]</b> from the text chunk you have read. Be aware that not all of these entities are necessarily present. Do not extract entities that do not exist in the text, return an empty list for that tag. Ensure each entity is assigned to only one appropriate class.</p>
             <p>To help you, here are dedicated Definition and Guidelines for each entity tag.</p>
             <div class="definition">
+            <p>{</p>
+            <p>{<b>"NE_type_1":</b> {"Definition": "", "Guidelines": ""}</p>
             <p><b> ... </b>
+            <p>{<b>"NE_type_N":</b> {"Definition": "", "Guidelines": ""}</p>
+            <p>}</p>
             </div>
             <p>Return only a JSON object. The JSON should strictly follow this format: {"NE_type_1": [], ..., "NE_type_N":[]}. DO NOT output anything else, just the JSON itself.</p>
             <p><b><|eot_id|><|start_header_id|>assistant<|end_header_id|></b></p>