coach
Datasets
All datasets matching “coach”digital-coach
DigitalCoach Dataset
DigitalCoach is a multimodal expert-novice computer-use coaching dataset for studying how humans teach software skills through grounded dialogue.It contains 72 coaching sessions, 22,752 dialogue turns, and 28.1 hours of screen recordings, collected across 5 software applications in creativity, engineering, and productivity-oriented workflows.
Each session pairs one expert coach with one novice learner, and captures timestamped data:
dialogue transcripts… See the full description on the dataset page: https://huggingface.co/datasets/berkeley-hci/digital-coach.nba-statsCPR-Coach
Packages Check
The complete file list is shown below.
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├── CPR_Dataset_S0.tar.gz.00 # 10 GB
├── CPR_Dataset_S0.tar.gz.01 # 10 GB
├── CPR_Dataset_S0.tar.gz.02 # 10 GB
├── CPR_Dataset_S0.tar.gz.03 # 10 GB
├── CPR_Dataset_S0.tar.gz.04 # 10 GB
├── CPR_Dataset_S0.tar.gz.05 # 10 GB
├── CPR_Dataset_S0.tar.gz.06 # 10 GB
├── CPR_Dataset_S0.tar.gz.07 # 5.4 GB
├── CPR_Dataset_S1.tar.gz.00 # 10… See the full description on the dataset page: https://huggingface.co/datasets/ShunliWang/CPR-Coach.accent_coach_training_datasetcoached_conv_prefA dataset consisting of 502 English dialogs with 12,000 annotated utterances between a user and an assistant discussing
movie preferences in natural language. It was collected using a Wizard-of-Oz methodology between two paid crowd-workers,
where one worker plays the role of an 'assistant', while the other plays the role of a 'user'. The 'assistant' elicits
the 'user’s' preferences about movies following a Coached Conversational Preference Elicitation (CCPE) method. The
assistant asks questions designed to minimize the bias in the terminology the 'user' employs to convey his or her
preferences as much as possible, and to obtain these preferences in natural language. Each dialog is annotated with
entity mentions, preferences expressed about entities, descriptions of entities provided, and other statements of
entities.labels