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File Type: Tabular Data

21 to 30 of 307 Results

test_predictions_camembertav2.tab 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 Tabular Data - 96.0 KB - 3 Variables, 17 Observations - UNF:6:6PxO9ELAf/ENQQAY98ekCQ== Named Entity Recognition predictions generated by the fine-tuned CamemBERTav2 model on the held-out test set. Includes predicted entity spans, labels and gold-standard annotations for model evaluation.
test_predictions_camembert.tab 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 Tabular Data - 99.0 KB - 3 Variables, 17 Observations - UNF:6:wwYLN6EuL27q8HvnSckZ9A== Named Entity Recognition predictions generated by the fine-tuned CamemBERT model on the held-out test set. Includes predicted entity spans, labels and gold-standard annotations for model evaluation.
test_predictions_dalembert.tab 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 Tabular Data - 96.3 KB - 3 Variables, 17 Observations - UNF:6:QOnGSP2nZCOfl3Bdo7Wayw== Named Entity Recognition predictions generated by the fine-tuned D'AlemBERT model on the held-out test set. Includes predicted entity spans, labels and gold-standard annotations for model evaluation.
test_predictions_europeana.tab 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 Tabular Data - 96.1 KB - 3 Variables, 17 Observations - UNF:6:47AUFPWKuqAoGujhisXcrQ== Named Entity Recognition predictions generated by the fine-tuned Europeana BERT model on the held-out test set. Contains predicted entity spans, labels and corresponding gold-standard annotations used for the quantitative and qualitative evaluation of model performance.
test_scores_per_seed.tab 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 Tabular Data - 4.9 KB - 13 Variables, 48 Observations - UNF:6:BULzL9VsIcllUNnVwyPBzg== Evaluation results of the transformer-based Named Entity Recognition models across multiple random seeds. Reports the test-set performance of each training run and was used to assess the robustness and reproducibility of the experimental results by calculating mean performance ac...
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_EMBARGO-csv.tab Aug 6, 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:I/pTntW31fCO8v9PFbosmg== tssq26_10 embargo dataset v 1.0 CSV format
tssq26_10_EMBARGO-spss.tab Aug 6, 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:TUA3T9033pVe4P4WITh6/A== tssq26_10 embargo dataset v 1.0 SPSS format

test_predictions_camembertav2.tab

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

Tabular Data - 96.0 KB - 3 Variables, 17 Observations -

Named Entity Recognition predictions generated by the fine-tuned CamemBERTav2 model on the held-out test set. Includes predicted entity spans, labels and gold-standard annotations for model evaluation.

test_predictions_camembert.tab

Tabular Data - 99.0 KB - 3 Variables, 17 Observations -

Named Entity Recognition predictions generated by the fine-tuned CamemBERT model on the held-out test set. Includes predicted entity spans, labels and gold-standard annotations for model evaluation.

test_predictions_dalembert.tab

Tabular Data - 96.3 KB - 3 Variables, 17 Observations -

Named Entity Recognition predictions generated by the fine-tuned D'AlemBERT model on the held-out test set. Includes predicted entity spans, labels and gold-standard annotations for model evaluation.

test_predictions_europeana.tab

Tabular Data - 96.1 KB - 3 Variables, 17 Observations -

Named Entity Recognition predictions generated by the fine-tuned Europeana BERT model on the held-out test set. Contains predicted entity spans, labels and corresponding gold-standard annotations used for the quantitative and qualitative evaluation of model performance.

test_scores_per_seed.tab

Tabular Data - 4.9 KB - 13 Variables, 48 Observations -

Evaluation results of the transformer-based Named Entity Recognition models across multiple random seeds. Reports the test-set performance of each training run and was used to assess the robustness and reproducibility of the experimental results by calculating mean performance ac...

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 -

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 -

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 -

tssq26_10 embargo dataset v.1.1 Stata format