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currently we pass data_classification_policy in 2 places in the recipe
As a field and in the task_data. We need to think if and how to consolidate them.
for example:
target = { "metrics": ["metrics.accuracy"], "source": "<<SYS>>\nYou are a helpful, respectful and honest assistant...., "target": " C", "references": [" C"], "task_data": '{"topic": "testing",' ' "question": "what?",' ' "choices": ["yes", "not", "maybe"],' ' "answer": "maybe",' ' "options": [" A", " B", " C"],' ' "metadata": {"data_classification_policy": [], "template": "templates.qa.multiple_choice.with_topic.lm_eval_harness"}' "}", "group": "unitxt", "postprocessors": ["processors.first_character"], "data_classification_policy": [], }
@elronbandel please advise
The text was updated successfully, but these errors were encountered:
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currently we pass data_classification_policy in 2 places in the recipe
As a field and in the task_data. We need to think if and how to consolidate them.
for example:
@elronbandel please advise
The text was updated successfully, but these errors were encountered: