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Subsets and Splits
Medical Guidelines Search Results
Identifies and retrieves distinct research paper titles related to various medical and psychological conditions, revealing the scope and focus areas within the dataset that might be relevant for understanding disease prevalence or research interest patterns.
SQL Console for epfl-llm/guidelines
This query extracts and contextualizes date patterns from text data, revealing temporal information embedded within documents which can help identify time-related trends and patterns in the content.
Count and Percentage of 'None'
The query reveals the frequency of 'none' values in raw and clean text fields, their percentage in the dataset, and average text length differences, providing valuable insights for data cleaning and quality assessment.
Unique titles stigmatized conditions
Filters and retrieves distinct article titles containing various mental health, behavioral, and chronic condition related terms to identify research topics in psychology and medicine.
ME/CFS, Obesity, SUD, ED Studies
Retrieves distinct article titles containing keywords related to specific medical conditions, providing a useful starting point for exploring research topics in chronic fatigue, obesity, substance use, and eating disorders.
Guidelines with Date Context Extraction
Extracts text snippets containing month names to identify temporal references, which could help in understanding time-related patterns in the training data.
SQL Console for epfl-llm/guidelines
Identifies records containing frequent occurrences of mental health keywords, providing basic filtering for text analysis but offering limited insight beyond keyword frequency counting.
Top Texts with Bisplar Disorder
Identifies texts with high frequency of "bipolar disorder" mentions, useful for understanding how often this term appears in the dataset but doesn't reveal deeper patterns or relationships.
Peptic Ulcer and H. Pylori
Retrieves distinct article titles containing specific medical terms related to digestive disorders and mental health conditions, providing basic filtering of relevant literature but offering limited analytical value beyond simple keyword matching.
Filter Bipolar, Depression Mentions
Filters for records containing the terms "bipolar_disorder" or "depression" at least 5 times each, but doesn't provide meaningful analysis beyond basic keyword frequency counting.
Bipolar Disorder Training Data
Performs basic filtering to find records containing "bipolar disorder" in the clean_text field, which is useful for initial topic exploration but doesn't provide deeper analytical insights.
PubMed Guidelines Sample
Retrieves 100 samples from the 'train' dataset where the source is 'pubmed', providing a basic view of the data but limited analytical value.
Text Length Statistics
Provides the minimum and maximum lengths of both cleaned and raw text, offering basic insights into text length variation.
Count None Values in Text Columns
Counts the occurrences and percentages of rows where 'raw_text' or 'clean_text' is 'none', providing a basic overview of missing or placeholder data.
Top 100 Longest Clean Texts
Retrieves the 100 longest cleaned text entries along with their raw text versions, offering basic insight into text length differences.
Longest Clean Text Entries
Returns the 100 longest clean texts in the dataset, which could help identify unusually long entries for quality review.
Longest Clean Text Entries
Returns the 100 longest cleaned text entries by id and title, providing basic information about the longest entries without significant analytical insight.