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100k+ Healthcare NLP Conversation Data
Data Science and Analytics
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About
This corpus of over 100,000 conversations and instructions is crucial for training Generative Language Models tailored for diverse medical applications. The collection, sourced from human conversations, contains essential medical terminology and provides a variety of options and suggestions for creating robust language models. The content ranges widely, covering discussions on prescribed medications, symptoms, diagnoses, side effects, and natural home remedies such as yoga or breathing exercises. The data is structured to ensure effectiveness when communicating within a healthcare environment, featuring exchanges between professionals like doctors, patients, and pharmacists.
Columns
The dataset is split into two primary files:
train.csv and test.csv. Both files share a single data column:-
Column name
-
Conversation A string containing the dialogue between two or more individuals, or an instruction, utilising medical terminologies. |
Distribution
The data is structured primarily in CSV format. The collection includes more than 100,000 conversations and instructions. For instance, the
test.csv file alone contains 5,609 unique records. The structure is simple: each row provides a complete conversation or instruction ready for use in language modelling.Usage
This dataset is highly suitable for several key applications within the health technology sector:
- Developing and training Generative Language Models specific to medical terminology.
- Implementing Natural Language Processing (NLP) applications, such as automating medical transcription services.
- Executing feature extraction and keyword detection for predictive analytics in healthcare settings.
- Creating automated diagnostics tools that identify diseases and illnesses based on user inputs like symptoms or risk factors.
- Supporting academic research, potentially utilizing NLP techniques like BERT Embeddings across different linguistic domains.
Coverage
The scope of the content addresses various levels of medical complexity and healthcare environments. While specific geographic limitations are not noted, the data is intended for use in research exploring diverse language contexts, including Chinese, Spanish, Portuguese, and French. The dialogue examples cover typical exchanges involving patients, doctors, and pharmacists.
License
CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
Who Can Use It
This material is ideal for:
- Data Scientists focusing on Generative AI model training.
- NLP Researchers interested in refining techniques such as word embeddings or BERT Embeddings for domain-specific language sorting.
- Health Tech Developers building products for automated diagnostics or predictive health analytics.
- Academic Institutions conducting research into healthcare communication and language models.
Dataset Name Suggestions
- Medical Dialogue Generative Corpus
- Healthcare NLP Conversation Data
- 100K Medical Instruction Corpus
- Public Domain Health Talk Dataset
Attributes
Original Data Source: 100k+ Healthcare NLP Conversation Data
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