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- license: mit
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+ # Dataset Card for [Dataset Name]
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+
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+ ## Table of Contents
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Homepage: https://towardsdatascience.com/counsel-chat-bootstrapping-high-quality-therapy-data-971b419f33da**
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+ - **Repository: https://github.com/nbertagnolli/counsel-chat**
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+ - **Paper: https://towardsdatascience.com/counsel-chat-bootstrapping-high-quality-therapy-data-971b419f33da**
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+ - **Leaderboard: NA**
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+ - **Point of Contact: nbertagnolli**
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+
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+ ### Dataset Summary
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+
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+ Scrape of Counselchat.com's forum. CounselChat.com is an example of an expert community.
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+ It is a platform to help counselors build their reputation and make meaningful contact with potential clients.
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+ On the site, therapists respond to questions posed by clients, and users can like responses that they find most helpful.
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+ It’s a nice idea and lends itself to some interesting data. This data contains expert responses by licensed clinicialns
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+ to questions posed by individuals.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ NA
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+
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+ ### Languages
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+
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+ English
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ [More Information Needed]
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+
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+ ### Data Fields
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+
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+ * questionID — A unique question identifier which is distinct for every question
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+
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+ * questionTitle — The title of the question on counsel chat
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+ * questionText — The body of the individual’s question to counselors
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+ * questionLink — A URL to the last location of that question (might not still be active)
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+ * topic — The topic the question was listed under
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+ * therapistInfo — The summary of each therapist, usually a name and specialty
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+ * therapistURL — a link to the therapist’s bio on counselchat
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+ * answerText — The therapist response to the question
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+ * upvotes — The number of upvotes the answerText received
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+ * split — The data split for training, validation, and testing.
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+
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+ ### Data Splits
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+
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+ [More Information Needed]
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ There is a lack of high quality open source mental health data available for study in NLP. Most datasets revolve around
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+ forums like Reddit, which can provide great insights, but don't capture the type of language often used by counselors.
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+ This dataset seeks to help bridge that gap and provide some additional data of counselors interacting with patients in
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+ need.
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+
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+ ### Source Data
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+ The dataset was scraped on 20220401 from counselchat.com.
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+
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+ #### Initial Data Collection and Normalization
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+
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+ The dataset was scraped on 20220401 from counselchat.com. The data is in it's raw form and has not been normalized.
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+
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+ #### Who are the source language producers?
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+
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+ The text was written by licensed counselors in the United States and annonymous individuals.
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+
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+ ### Annotations
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+ The dataset does not contain any additional annotations.
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+
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+ ### Personal and Sensitive Information
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+
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+ This data is not anonymized, so individuals' names can be found in the dataset. CounselChat.com allows therapists to advertise for their clinics
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+ by providing sound publicly available advise. The therapist names have been kept as part of the original dataset.
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ nicolas bertagnolli
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+
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+ ### Licensing Information
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+
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+ MIT
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+
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+ ### Citation Information
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+
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+ Bertagnolli, N. Counsel Chat: Bootstrapping High-Quality Therapy Data. Available online: https://towardsdatascience.com/counsel-chat-bootstrapping-high-quality-therapy-data-971b419f33da
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+
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+ ### Contributions
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+
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+ Thanks to [@nbertagnolli](https://github.com/nbertagnolli) for adding this dataset.