Dataset

jobpostingsamples

Jobs & Workforce Download 1 source

jobpostingsamples is a small sample dataset of US job postings published by talanAI. It is distributed in CSV format and is tagged for use with the Hugging Face datasets, pandas, polars, and mlcroissant libraries.

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Dataset card

What this dataset contains

The dataset provides a collection of job posting records drawn from the US labor market. A train split is shipped with 9 rows, and the overall size falls within the n<1K category on the Hugging Face Hub. No coverage period or update cadence is documented in the available metadata.

Structure and fields

Each row contains three string columns: Title, which holds the job title such as Registered Nurse; Category, which groups the posting into a sector like Healthcare or Technology; and Description, which carries the free-text job description. The Description field is the longest text component and would typically drive natural-language processing tasks.

How analysts use it

Given its limited size, the resource is best suited as a demonstration or teaching sample for text classification of job postings by category, rather than as a basis for production labor-market analytics. Investment funds are unlikely to derive signal from nine rows, but the dataset can illustrate pipelines that later scale to fuller job-listing feeds such as those offered by commercial workforce vendors.

Documentation & references 1
  1. talanAI/jobpostingsamples: listing on Hugging Face

Further reading

All guides
  • What is alternative data?Alternative data in investment research: what the term covers, how it differs from data format, and why provenance, timing, access and validation matter.
  • Job postings as an investment signalWhy hiring data predicts fundamentals: growth intent, expansion geography, technology adoption and cost control, how postings are collected, structured and turned into tradeable indicators.
  • Web scraping and compliance in alternative dataHow scraped datasets are actually collected, where terms of service and computer-muse laws draw lines, what hiQ v. LinkedIn settled and did not, and the diligence checklist for legally fragile data.
  • Free alternative data sourcesThe practical list of free alternative-data sources for investors: public filings, official statistics, satellite and earth observation, on-chain data, web archives and open registries, what each covers, what it costs in engineering effort, and where free data falls short.
  • Alternative data for investingHow funds turn alternative data into an investment edge: signal families, evaluation, backtesting, compliance and the build-vs-buy decision, mapped to the datasets and providers indexed on this encyclopedia.
  • Job market data: datasets and providersThe datasets and providers behind labor-market signals: job postings, payroll, employee profiles and job-change data, what each source measures, its caveats and how to choose one.

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