2. add notes about diffing split extracted and original data
3. add a nlu conv generator to generate conv data based on nlu utterances and entities
4. add task uid support for dumping corrections
5. abstracted generate date fn
2. implement ui_dump/manifest writer in call_recycler itself
3. refactored call data point plotter
4. added sample-ui task-ui on the validation process
5. implemented call-quality stats using corrections from mongo
6. support deleting cursors on mongo
7. implement multiple task support on validation ui based on task_id mongo field
2. introduced get_mongo_coll to get the collection object directly from mongo uri
3. removed processing of correction entries to remove space/upper casing
2. limit asr recycling to 1 min of start audio to get reliable alignments and ignoring agent channel
3. added rev recycler for generating asr dataset from rev transcripts and audio
4. update pydub dependency for silence stripping fn and removing threadpool hardcoded worker count
2. added option to skip 'incorrect' annotations in validation data
3. added confirmation on clearing mongo collection
4. added an option to navigate to a given text in the validation ui
5. added a dataset and remote option to trainer to load dataset from directory and remote rpyc service
2. implement a funciton to export all call logs in a mongodb to a caller-id based yaml file
3. clean-up leaderboard duration logic
4. added a wip dataloader service
5. made the asr_data_writer util more generic with verbose flags and unique filename
6. added extendedpath util class with json support and mongo_conn function to connect to a mongo node
7. refactored the validation post processing to dump a ui config for validation
8. included utility functions to correct, fill update and clear annotations from mongodb data
9. refactored the ui logic to be more generic for any asr data
10. updated setup.py dependencies to support the above features
Malar Kannan