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🦄 Unitxt: a python library for getting data fired up and set for training and evaluation

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I noticed that a consecutive `test_card` is using the same instance of the metric used by the previous call (for a different card). This is problematic for me, because the...

If the value we map to is a list, we must deepcopy the value, otherwise external changes to the list effect the value of the mapper .

Integrating the metrics-llmaj pipeline with the current unitxt llmaj. This required some changes outside the scope of our new catalog: 1. moving code from fm-eval to unitxt, including changes from...

Right now, we don't report the number of instances (only score, score_name, and confidence interval). This is always useful, but more so when we use the group_by options, which splits...

Some inference engines use environment variables and it is not documented how to set them up.

Example: dataset = load_dataset( card="cards.wnli", template="templates.classification.multi_class.relation.default", num_demos=2, demos_pool_size=10, loader_limit=20, ) print(dataset) print(dataset["demos_pool"][0]['source']) DatasetDict({ validation: Dataset({ features: [‘metrics’, ‘data_classification_policy’, ‘target’, ‘references’, ‘postprocessors’, ‘source’, ‘task_data’, ‘group’], num_rows: 3 }) test: Dataset({ features:...