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README.md
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license: openrail
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---
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# Dataset Card for Dataset Name
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- **Curated by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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### Dataset Sources
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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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<!-- Address questions around how the dataset is intended to be used. -->
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### Direct Use
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## Dataset Structure
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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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## Dataset Creation
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<!-- Motivation for the creation of this dataset. -->
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### Source Data
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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#### Data Collection and Processing
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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[More Information Needed]
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#### Who are the source data producers?
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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[More Information Needed]
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### Annotations [optional]
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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#### Annotation process
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<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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[More Information Needed]
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#### Who are the annotators?
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<!-- This section describes the people or systems who created the annotations. -->
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[More Information Needed]
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#### Personal and Sensitive Information
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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## Bias, Risks, and Limitations
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doi={10.1109/ICASSP43922.2022.9746035}}
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}
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Dataset Card Authors [optional]
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[More Information Needed]
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## Dataset Card Contact
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license: openrail
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task_categories:
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- conversational
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language:
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- en
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tags:
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- medical
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pretty_name: annomi
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size_categories:
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- n<1K
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---
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# Dataset Card for Dataset Name
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```
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### Dataset Sources
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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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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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Training on longer conversations and medical advice.
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### Direct Use
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## Dataset Structure
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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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Sharegpt format to allow for long conversations back and forth.
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therapist is gpt
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client is human
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id is a concatenation of:
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- transcript_id: the unique numerical identifier of the conversation/transcript where this utterance belongs. Note that this identifier is NOT used for ordering, and it is only to distinguish between different conversations in the dataset.
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- video_url: the URL of the original video of the conversation/transcript where this utterance belongs.
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- topic: the topic(s) of the conversation/transcript where this utterance belongs.
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```
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[
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{
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"id": "40_https://www.youtube.com/watch?v=wcu8oqHIsbc_reducing drug use",
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"conversations": [
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"from": "human",
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"value": "Pretty good. It's been three months now"
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},
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"from": "gpt",
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"value": "Nice."
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},
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"from": "human",
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"value": "Right. It's been three months, and I've been doing pretty well."
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},
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{
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"from": "gpt",
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"value": "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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...
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]
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```
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## Dataset Creation
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<!-- Motivation for the creation of this dataset. -->
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Despite the remarkable growth of research in recent years on the analysis of counselling conversations through natural language processing methods, the potential of this field has been greatly limited by the lack of access to publicly available therapy dialogues, especially those with expert annotations.
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#### Personal and Sensitive Information
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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It is anonymized.
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## Bias, Risks, and Limitations
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doi={10.1109/ICASSP43922.2022.9746035}}
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}
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## Dataset Card Contact
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Toon Beerten ([email protected])
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