mlsanityData to 14 Oct 2026

ICE-ID: A Novel Historical Census Dataset for Longitudinal Identity Resolution

arXiv 2506.13792 ↗First posted 11 Jun 2025cs.AI cs.CL cs.LGcited by 0

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Abstract (arXiv)

We introduce ICE-ID, a benchmark dataset comprising 984,028 records from 16 Icelandic census waves spanning 220 years (1703--1920), with 226,864 expert-curated person identifiers. ICE-ID combines hierarchical geography (farm→parish→district→county), patronymic naming conventions, sparse kinship links (partner, father, mother), and multi-decadal temporal drift -- challenges not captured by standard product-matching or citation datasets. This paper presents an artifact-backed analysis of temporal coverage, missingness, identifier ambiguity, candidate-generation efficiency, and cluster distributions, and situates ICE-ID against classical ER benchmarks (Abt--Buy, Amazon--Google, DBLP--ACM, DBLP--Scholar, Walmart--Amazon, iTunes--Amazon, Beer, Fodors--Zagats). We also define a deployment-faithful temporal OOD protocol and release the dataset, splits, regeneration scripts, analysis artifacts, and a dashboard for interactive exploration. Baseline model comparisons and end-to-end ER results are reported in the companion methods paper.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 24 references that are in the map. First posted on arXiv 11 Jun 2025.

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References · 9

  1. 2018Datasheets for Datasetscited by 1,386
  2. 2018Model Cards for Model Reportingcited by 1,080
  3. 2023DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Modelscited by 518
  4. 2020Deep Entity Matching with Pre-Trained Language Modelscited by 144
  5. 2024The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Modelscited by 144
  6. 2023Benchmarking Distribution Shift in Tabular Data with TableShiftcited by 66
  7. 2024TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarkscited by 33
  8. 2019A Survey of Blocking and Filtering Techniques for Entity Resolutioncited by 8
  9. 2023A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithmscited by 4

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