Datasets:
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README.md
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@@ -216,6 +216,16 @@ Only want this year? The companion [**US layoffs 2026 dataset**](https://hugging
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is the 2,684 notices filed in 2026 (242,410 workers named, 45 states),
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with by-state, by-month and top-employer rollups already computed. Same rebuild, same ids.
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Want it one row per COMPANY instead of one row per notice? The companion
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[**employer layoff-history dataset**](https://huggingface.co/datasets/APProjects/us-warn-act-employer-layoff-history)
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rolls all 61,312 notices up into 29,897 canonicalized employers with
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is the 2,684 notices filed in 2026 (242,410 workers named, 45 states),
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with by-state, by-month and top-employer rollups already computed. Same rebuild, same ids.
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Only want the tech layoffs? The companion [**US tech company layoffs dataset**]
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(https://huggingface.co/datasets/APProjects/us-tech-company-layoffs-warn-act-notices-daily)
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is the 1,732 filings from software, internet, semiconductor and
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electronics employers (191,215 workers, 367 companies,
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1989-2026), with the per-company history already rolled up.
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Unlike the trackers built from news stories, every row there is a filing with a state,
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a site and an effective date. No state publishes an industry field, so sector is assigned
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from the employer NAME and the file is a floor, not a census: 47.4% of
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all notices carry a name that reveals no sector. Same daily rebuild, same ids.
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Want it one row per COMPANY instead of one row per notice? The companion
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[**employer layoff-history dataset**](https://huggingface.co/datasets/APProjects/us-warn-act-employer-layoff-history)
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rolls all 61,312 notices up into 29,897 canonicalized employers with
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