Department of Finance (DOF) publishes a list of Building Classifications, associating Building Codes with Descriptions.

Dataset Card for Code Comment Classification

  Dataset Summary

The dataset contains class comments extracted from various big and diverse open-source projects of three programming languages Java, Smalltalk, and Python.

  Supported Tasks and Leaderboards

Single-label text classification and Multi-label text classification

  Languages

Java, Python, Smalltalk

  Dataset Structure





  Data Instances

{ "class" : "Absy.java", "comment":"*… See the full description on the dataset page: https://huggingface.co/datasets/poojaruhal/Code-comment-classification.

CSV Table. This table includes coded descriptions for Property Class Codes in the St. Louis County, Missouri Parcel dataset. Property Class Codes are the Tax Subclass Codes for a property. Please see field PROPCLASS in the Parcel dataset. Link to Metadata.

This data package includes information regarding Clinical Classification Software (CCS) for Diagnosis and Procedure Codes for International Classification of Diseases for Clinical Modification as well as Procedure Classification System. It also comprises of data about CCS for Mortality Reporting Program. It contains information regarding single level CCS for ICD-9 diagnosis and procedure codes.

Listing of U.S. Navy Enlisted Classification Codes.

Table of codes and the corresponding description

Dataset

This dataset was created by Jason Duncan-Wilson

Contents

The OECD Category schema corresponds to the Revised Field of Science and Technology (FOS) Classification of the Frascati Manual. It consists of 40 subcategories of 6 major fields, namely Natural Sciences, Engineering and Technology, Medical and Health Sciences, Agricultural Sciences, Social Sciences and Humanities.The All Science Journal Classification (ASJC) system in Scopus categorizes journals and articles into subject areas to facilitate research and discovery. The ASJC includes a broad range of disciplines, divided into four main areas: Life Sciences, Physical Sciences, Health Sciences, Social Sciences and Humanities. These subject areas are further divided into more specific sub-categories to provide detailed classification for scholarly content.Mapping process was conducted in January 2023, utilizing the then-current versions of the classifications.

This dataset provides comprehensive workers compensation classification codes with detailed occupational descriptions, hazard levels, and manual rates per $100 of payroll. It enables insurers, brokers, and employers to accurately assess risk, calculate premiums, and benchmark occupational safety across industries and jurisdictions.

Context

This dataset is provided for the U.S. Patent Phrase to Phrase Matching competition. It adds additional information by providing the meaning of each code in the context column.

For more info, check out the discussion thread, and take a look at this starter notebook to see how to incorporate the data into the competition.

Content

Preprocessing script here: https://www.kaggle.com/code/xhlulu/download-and-process-cpc

Licensing

This data can be found on the USPTO website, where you can find the copyright information:

Pursuant to federal law, most government-produced materials appearing on this website are not subject to copyright restrictions within the United States and are therefore in the public domain. Public domain information may be freely distributed and copied, but it is requested that in any subsequent use the United States Patent and Trademark Office (USPTO) be given appropriate acknowledgement (e.g., “Source: United States Patent and Trademark Office, www.uspto.gov”). The USPTO reserves the right to assert copyright protection internationally.

Acknowledgements

Photo by 2H Media on Unsplash

European Social Survey Variable Classification Dataset

A dataset of survey variables and questions from the European Social Survey, classified into subject categories using Azure OpenAI.

  Dataset Description

This dataset contains 50 survey variables extracted from DDI XML format with their corresponding questions, classification codes, and category labels.

  Files

metadata_classified.csv - The main dataset file containing: variable: Original variable label from… See the full description on the dataset page: https://huggingface.co/datasets/benjaminBeuster/ess_classification.

Clinical Classifications Software for ICD-10-Clinical Modification (CM) and Procedural Classification System (PCS) Codes provides a way to classify diagnoses into a limited number of categories by aggregating multi-level ICD-10-CM and PCS codes into broad diagnosis groups to facilitate statistical analysis and reporting.

The seven business groups and their North American Industry Classification System (NAICS) codes used in this paper.

The International Maritime Dangerous Goods (IMDG) Code of the International Maritime Organization (IMO) was developed as a uniform international code for the transport of dangerous goods by sea covering such matters as packing, container traffic and stowage, with particular reference to the segregation of incompatible substances.

Clinical Classifications Software for ICD-9 Diagnosis Codes provides a way to classify diagnosis and procedures into a limited number of categories by aggregating individual ICD-9-CM codes into broad diagnosis and procedure groups to facilitate statistical analysis and reporting.

🇺🇸 미국

This dataset is a crosswalk between US EPA Source Classification Codes (SCCs) and sectors of economy. The 14 sectors include all anthropogenic emission sources, and exclude biogenic, wildfire, and international sources. The 14 sectors are: 1) agriculture (“Ag”); 2) coal electricity utility (“Coal Elec.”); 3) noncoal electricity utility (“Non-coal Elec.”); 4) commercial cooking (“Cooking”); 5) construction (“Const.”); 6) diesel heavy-duty vehicle (“Diesel HD Veh.”); 7) gasoline light-duty vehicle (“Gas LD Veh.”); 8) industrial; 9) road dust (“Road Dst”); 10) residential gas combustion (“Res. Gas”); 11) residential wood combustion (“Res. Wood”); 12) residential others (“Res. Other”); 13) off-highway vehicle and equipment (“Offroad”); and 14) miscellaneous (“Misc.”).

The SCC list are downloaded from https://ofmpub.epa.gov/sccwebservices/sccsearch/ [Accessed Sep 22, 2022].

In the data table, the first column is the SCC; the second column is the classification of the 14 sectors; and the reset of the columns includes detailed description of each SCC from EPA.

Fulton County property class codes

Dataset for project: food-classification

  Dataset Description

This dataset has been processed for project food-classification.

  Languages

The BCP-47 code for the dataset's language is unk.

  Dataset Structure





  Data Instances

A sample from this dataset looks as follows: [ { "image": "<308x512 RGB PIL image>", "target": 0 }, { "image": "<512x512 RGB PIL image>", "target": 0 }]

  Dataset Fields

The dataset has the… See the full description on the dataset page: https://huggingface.co/datasets/Kaludi/data-food-classification.

This classification contains the codes for the different types of measurement. To create this classification we have used the proposal used by Google, in its standard Dataset Publishing Language (DSPL).