nbertagnolli
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README.md
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# Dataset Card for [Dataset Name]
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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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## Dataset Description
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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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### Dataset Summary
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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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### Supported Tasks and Leaderboards
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NA
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### Languages
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English
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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* questionID — A unique question identifier which is distinct for every question
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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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### Data Splits
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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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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### Source Data
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The dataset was scraped on 20220401 from counselchat.com.
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#### Initial Data Collection and Normalization
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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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#### Who are the source language producers?
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The text was written by licensed counselors in the United States and annonymous individuals.
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### Annotations
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The dataset does not contain any additional annotations.
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### Personal and Sensitive Information
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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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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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nicolas bertagnolli
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### Licensing Information
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MIT
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### Citation Information
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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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### Contributions
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Thanks to [@nbertagnolli](https://github.com/nbertagnolli) for adding this dataset.
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