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docs: adding json prediction example

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  1. README.md +8 -1
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@@ -72,6 +72,13 @@ All of our ground truth labels are private. The only way to score your submissio
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  Your predictions should be a list of dictionaries, each containing an `question_id` field and a `response` field. For multiple choice questions, the `response` field should contain the predicted answer choice. For open-ended questions, the `response` field should contain the option letter (A-D). We will apply simple heuristics to clean the responses, but please ensure they are as accurate as possible.
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  ## 🏆 Submit to the leaderboard
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  We welcome all submissions for model *or* method (including prompting-based) to our dataset. Please create a [GitHub issue](https://github.com/paulgavrikov/visualoverload/issues) following the template and include your predictions as JSON.
 
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  Your predictions should be a list of dictionaries, each containing an `question_id` field and a `response` field. For multiple choice questions, the `response` field should contain the predicted answer choice. For open-ended questions, the `response` field should contain the option letter (A-D). We will apply simple heuristics to clean the responses, but please ensure they are as accurate as possible.
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+ Example:
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+ ```
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+ [
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+ {"question_id": "28deb79e", "response": "A"},
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+ {"question_id": "73cbabd7", "response": "C"},
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+ ...
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+ ]
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+ ```
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  ## 🏆 Submit to the leaderboard
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  We welcome all submissions for model *or* method (including prompting-based) to our dataset. Please create a [GitHub issue](https://github.com/paulgavrikov/visualoverload/issues) following the template and include your predictions as JSON.