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@@ -210,21 +210,21 @@ Each JSONL file in the dataset follows a structured format with the following fi
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  - `task`: The specific task type.
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  - `lang`: The language of the input text.
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  - `instructions`: A brief set of instructions describing how the text should be labeled.
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- - `text`: A formatted structure including instructions and response for the task in a conversation format between the system, user, and assistant, showing the decision process.
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  **Example entry in JSONL file:**
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  ```
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  {
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- "id": "2b1878df-5a4f-4f74-bcd8-e38e1c3c7cf6",
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- "original_id": null,
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- "input": "sub गंदा है पर धंधा है ये . .",
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- "output": "neutral",
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- "dataset": "Sentiment_Analysis",
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- "task": "Sentiment",
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- "lang": "hi",
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- "instruction": "Identify the sentiment in the text and label it as positive, negative, or neutral. Return only the label without any explanation, justification or additional text."
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- }
 
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  ```
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  ## Model
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  [**LlamaLens on Hugging Face**](https://huggingface.co/QCRI/LlamaLens)
 
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  - `task`: The specific task type.
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  - `lang`: The language of the input text.
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  - `instructions`: A brief set of instructions describing how the text should be labeled.
 
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  **Example entry in JSONL file:**
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  ```
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  {
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+ "id": "5486ee85-4a70-4b33-8711-fb2a0b6d81e1",
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+ "original_id": null,
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+ "input": "आप और बाकी सभी मुसलमान समाज के लिए आशीर्वाद हैं.",
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+ "output": "not-hateful",
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+ "dataset": "hate-speech-detection",
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+ "task": "Factuality",
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+ "lang": "hi",
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+ "instructions": "Classify the given text as either 'not-hateful' or 'hateful'. Return only the label without any explanation, justification, or additional text."
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+ }
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+
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  ```
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  ## Model
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  [**LlamaLens on Hugging Face**](https://huggingface.co/QCRI/LlamaLens)