Release v1.3.1: added HumanOPs & fixed some bugs

Major Updates

• 💥 prototype Implementation for HumanOps (annotation). #617 Included features:
  • boilerplate code for supporting label studio powered human annotation ops
  • a human preference annotation reference implementation is provided
  • label studio service script; can start up local instance using docker or pip, whichever is available
  • reference configs and data
  • event driven and notification mixins framework for ops

New OPs

• extract_tables_from_html_mapper: extract tables from html texts. #634
• general_fused_op: an explicitly fused operator designed to execute multiple sequential operations (OPs) on the same batch, enabling fine-grained control over data processing. #626

Bug Fixed

• fix dataset builder initialization failure #630
• update Executor references from Executor to DefaultExecutor #632 #633
• switch the backend of plt to avoid sub-process/thread error #633
• fix some boundary condition bugs in several deduplicators #635 #637

Others

• check dataset when loading to support to pass dataset in the DefaultExecutor.run method. #633
• update docs to highlight light env installation part. #636

Acknowledgement

• @liuyuhanalex helps to add a new OP and fix some of the boundary condition bugs. #634 #635

Full Changelog: v1.3.0...v1.3.1