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Publication Year: 2026

61 to 70 of 1,336 Results

test_set-2.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 117.5 KB - MD5: c079a2cd638f0797e2b2ec4e06348e29 Held-out test split used exclusively for final evaluation of the trained NER models.
test_set-2.pkl Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Unknown - 6.8 MB - MD5: ebeb69df35b8eecb39e9ce2342040c8d The file contains manually annotated letter transcriptions and their token-level entity labels. For each letter, it includes the manuscript identifier, full transcription, tokenized text, annotated entities and entity types, character and token spans, remapped annotations, and IO...
training_set-2.csv Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Comma Separated Values - 730.5 KB - MD5: 8da5d01228c4818dddce6a97272b18be Held-out test partition of the gold-standard corpus used exclusively for final evaluation of the NER models after training.
training_set-2.pkl Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal Unknown - 24.8 MB - MD5: 050192c781468337fb7718810e8316b7 Python Pickle version of the held-out test dataset used in the evaluation pipeline.
Codebooktssq26_10_EMBARGO_v1_1.html Aug 25, 2026 - [Embargo] THRIVE - Better understanding the experience of the COVID-19 pandemic to prepare for future crises (tssq26_10) HTML - 151.2 KB - MD5: 4bd1db669f5636982cc91867dd6c9ae6
tssq26_10_EMBARGO_v1_1-csv.tab Aug 25, 2026 - [Embargo] THRIVE - Better understanding the experience of the COVID-19 pandemic to prepare for future crises (tssq26_10) Tabular Data - 8.4 MB - 117 Variables, 4875 Observations - UNF:6:h3M9Yyxud9GjoCfzvM0/XQ== tssq26_10 embargo dataset v.1.1 csv format
tssq26_10_EMBARGO_v1_1-spss.tab Aug 25, 2026 - [Embargo] THRIVE - Better understanding the experience of the COVID-19 pandemic to prepare for future crises (tssq26_10) Tabular Data - 1.5 MB - 117 Variables, 4875 Observations - UNF:6:+ExpxAKXCmSC7y7ELdH5QA== tssq26_10 embargo dataset v.1.1 SPSS format
tssq26_10_EMBARGO_v1_1.tab Aug 25, 2026 - [Embargo] THRIVE - Better understanding the experience of the COVID-19 pandemic to prepare for future crises (tssq26_10) Tabular Data - 1.4 MB - 117 Variables, 4875 Observations - UNF:6:+ExpxAKXCmSC7y7ELdH5QA== tssq26_10 embargo dataset v.1.1 Stata format
tssq26_10_versions_changes_v1_1.txt Aug 25, 2026 - [Embargo] THRIVE - Better understanding the experience of the COVID-19 pandemic to prepare for future crises (tssq26_10) Plain Text - 1.1 KB - MD5: 974bb04cbea586259d22c1cd256cf07e version tracker v.1.1
Codebooktssq26_10_EMBARGO.html Aug 6, 2026 - [Embargo] THRIVE - Better understanding the experience of the COVID-19 pandemic to prepare for future crises (tssq26_10) HTML - 151.2 KB - MD5: fb48a341dbccf1c8e252953c5925cdc1 v 1.0 codebook

test_set-2.csv

Aug 25, 2026 - Replication Data for: From nineteenth-century letters to entities: "a NER pipeline for French correspondence and its methodological lessons" - Article for Digital Humanities Benelux Journal

Comma Separated Values - 117.5 KB -

Held-out test split used exclusively for final evaluation of the trained NER models.

test_set-2.pkl

Unknown - 6.8 MB -

The file contains manually annotated letter transcriptions and their token-level entity labels. For each letter, it includes the manuscript identifier, full transcription, tokenized text, annotated entities and entity types, character and token spans, remapped annotations, and IO...

training_set-2.csv

Comma Separated Values - 730.5 KB -

Held-out test partition of the gold-standard corpus used exclusively for final evaluation of the NER models after training.

training_set-2.pkl

Unknown - 24.8 MB -

Python Pickle version of the held-out test dataset used in the evaluation pipeline.

Codebooktssq26_10_EMBARGO_v1_1.html

Aug 25, 2026 - [Embargo] THRIVE - Better understanding the experience of the COVID-19 pandemic to prepare for future crises (tssq26_10)

HTML - 151.2 KB -

tssq26_10_EMBARGO_v1_1-csv.tab

Aug 25, 2026 - [Embargo] THRIVE - Better understanding the experience of the COVID-19 pandemic to prepare for future crises (tssq26_10)

Tabular Data - 8.4 MB - 117 Variables, 4875 Observations -