Main changes

Added support for handling sensitive data . When data is loaded from a data source using a Loader the user can specify the classification of the data (e.g. "public" or "proprietary"). Then Unitxt components such as metrics and inference engines checks if they are allowed to process the data based on their configuration. For example, an LLM as judge that sends data to remote services can be configured to only send "public" data to the remote services. This replaced the UNITXT_ALLOW_PASSING_DATA_TO_REMOTE_API option, which was a general flag that was not data dependent and hence error prone.
See more details in https://unitxt.readthedocs.io/en/latest/docs/data_classification_policy.html
Added support for adding metric prefix. Each metric has a new optional string attribute "score_prefix", that is appended to all scores it generates. This allows the same metric to be used on different fields of the tasks, and distinguish the output score.
New Operators tutorial and Loaders documentation

Backward

Support for handling sensitive data sent to remote services by @pawelknes in #806 , @yoavkatz in #868
Added new NER metric using fuzzywuzzy logic by @sarathsgvr in #808
Added loader from HF spaces by @pawelknes in #860
Add metric prefix in main by @yoavkatz in #878
add MinimumOneExamplePerLabelRefiner to allow ensuring at least one example of each labels appears in the training data. by @alonh in #867

Update CONTRIBUTING.md by @elronbandel in #859
Adding operator tutorial and standarizing operators names by @elronbandel in #863
Fix code blocks in loaders docs by @elronbandel in #866
Typo fix in unitext operators docs by @duckling69 in #877
Add documntation to loaders by @elronbandel in #864
Changes to introduction page by @yoavkatz in #852

Full Changelog: 1.9.0...1.10.0