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@@ -13,8 +13,71 @@ Converted the AnnoMI dataset into sharegpt format. It is the first public collec
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  ### Dataset Description
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  <!-- Provide a longer summary of what this dataset is. -->
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- AnnoMI consisting of high-level motivational interviewing annotations.
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  - **Curated by:** [More Information Needed]
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  - **Funded by [optional]:** [More Information Needed]
@@ -26,8 +89,8 @@ AnnoMI consisting of high-level motivational interviewing annotations.
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  <!-- Provide the basic links for the dataset. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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  - **Demo [optional]:** [More Information Needed]
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  ## Uses
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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- [More Information Needed]
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  ## Dataset Creation
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@@ -114,6 +177,17 @@ Users should be made aware of the risks, biases and limitations of the dataset.
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  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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  **BibTeX:**
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  [More Information Needed]
 
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  ### Dataset Description
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  <!-- Provide a longer summary of what this dataset is. -->
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+ AnnoMI, containing 133 faithfully transcribed and expert-annotated demonstrations of high- and low-quality motivational interviewing (MI), an effective therapy strategy that evokes client motivation for positive change.
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+ Sample conversation number 40, regarding drug use:
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+ ```
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+ client
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+ Pretty good. It's been three months now.
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+
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+ therapist
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+ Nice.
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+
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+ client
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+ Um, and—
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+
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+ therapist
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+ Since the-- since you used, uh-- since the last time you used meth, right?
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+
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+ client
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+ Right.
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+
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+ therapist
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+ Okay.
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+
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+ client
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+ Right. It's been three months, and I've been doing pretty well.
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+
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+ therapist
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+ Good.
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+
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+ client
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+ Um, and I met a couple new friends.
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+
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+ therapist
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+ Nice.
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+
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+ client
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+ So—
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+
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+ therapist
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+ So-so, uh, have-- last time we talked, you know, you were kind of cutting the-the ex-boyfriend out. This is because he was your dealer, so--
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+
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+ client
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+ Right.
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+
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+ therapist
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+ And how is that going for you?
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+
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+ client
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+ Right. It's been good. I haven't answered the phone when he's called-
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+
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+ therapist
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+ Okay.
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+
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+ client
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+ -and a couple of my other friends have tried to call me as well, and I haven't answered the phone. Um, so it's been good for me to just reach out and like, meet a couple of new people, um, in the neigh-neighborhood that I'm living in.
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+
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+ therapist
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+ So it sounds like you've made some good changes. The change in your environment, and some of your behaviors, and, uh, and these new friends.
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+
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+ client
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+ Yeah, the new friends, and I've been using the, you know, the breathing exercises you taught me, when I get-- start to feel a little stressed out, and I've been- I've been using those and it helps me. I go for a walk and do my breathing exercises, and it calms me down and kind of gets me through that time.
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+
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+ therapist
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+ So it sounds like--
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+
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+ ```
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  - **Curated by:** [More Information Needed]
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  - **Funded by [optional]:** [More Information Needed]
 
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  <!-- Provide the basic links for the dataset. -->
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+ - **Repository:** [https://github.com/uccollab/AnnoMI]
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+ - **Paper [optional]:** [https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9746035]
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  - **Demo [optional]:** [More Information Needed]
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  ## Uses
 
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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+
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  ## Dataset Creation
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  <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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+ @INPROCEEDINGS{9746035,
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+ author={Wu, Zixiu and Balloccu, Simone and Kumar, Vivek and Helaoui, Rim and Reiter, Ehud and Reforgiato Recupero, Diego and Riboni, Daniele},
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+ booktitle={ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
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+ title={Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues},
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+ year={2022},
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+ volume={},
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+ number={},
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+ pages={6177-6181},
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+ doi={10.1109/ICASSP43922.2022.9746035}}
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+ }
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+
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  **BibTeX:**
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  [More Information Needed]