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Update README.md

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@@ -78,14 +78,14 @@ ICKG v3.2 is fine-tuned from the latest Mistral-7B using ~5K instruction-followi
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  ```
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  Act as if you are a senior financial analyst, from the provided news article labeled as 'INPUT_TEXT', your task is to analyze and extract sentiment scores for specific key entities. These key entities are marked as 'KEY_ENTITY' in the text.
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- You are required to evaluate the sentiment surrounding each of these key entities within the context of the transcript. The sentiment score should be a continuous value ranging from -1 (most negative) to +1 (most positive), with 0 representing a neutral sentiment. For each key entity, you will present the results in a JSON format where the entity name is the key, and the sentiment score is the value. Ensure the scores accurately reflect the sentiment expressed in the transcript concerning each key entity. ONLY output the JSON result.
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- ========== Example ==============
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- "Global markets experienced volatility this week, with tech stocks taking a significant hit due to rising interest rates. However, the energy sector showed resilience, buoyed by increasing oil prices. Meanwhile, consumer confidence remained neutral despite economic uncertainties."
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- Key Entities: Tech Stocks, Energy Sector, Consumer Confidence
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- Your formatted output should be: { "Tech Stocks": -0.8, "Energy Sector": 0.6, "Consumer Confidence": 0 }
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- =================================
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- INPUT_TEXT: <input_doc>
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- KEY_ENT: <input_ent_set>
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  ```
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  ```
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  Act as if you are a senior financial analyst, from the provided news article labeled as 'INPUT_TEXT', your task is to analyze and extract sentiment scores for specific key entities. These key entities are marked as 'KEY_ENTITY' in the text.
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+ You are required to evaluate the sentiment surrounding each of these key entities within the context of the transcript. The sentiment score should be a continuous value ranging from -1 (most negative) to +1 (most positive), with 0 representing a neutral sentiment. For each key entity, you will present the results in a JSON format where the entity name is the key, and the sentiment score is the value. Ensure the scores accurately reflect the sentiment expressed in the transcript concerning each key entity. ONLY output the JSON result.
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+ ========== Example ==============
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+ "Global markets experienced volatility this week, with tech stocks taking a significant hit due to rising interest rates. However, the energy sector showed resilience, buoyed by increasing oil prices. Meanwhile, consumer confidence remained neutral despite economic uncertainties."
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+ Key Entities: Tech Stocks, Energy Sector, Consumer Confidence
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+ Your formatted output should be: { "Tech Stocks": -0.8, "Energy Sector": 0.6, "Consumer Confidence": 0 }
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+ =================================
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+ INPUT_TEXT: <input_doc>
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+ KEY_ENT: <input_ent_set>
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  ```
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