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1943-01-13T00:00:00 | DTT-1943-01-13-a-i0005 | [
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1943-07-20T00:00:00 | DTT-1943-07-20-a-i0033 | [
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1946-04-27T00:00:00 | DTT-1946-04-27-a-i0108 | [
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1948-09-27T00:00:00 | DTT-1948-09-27-a-i0061 | [{"entity_family":"pressagency","entity_id":"DTT-1948-09-27-a-i0061#ent-0","has_ocr_correction":fals(...TRUNCATED) | DTT-1948-09-27-a-i0061 | de | {"news_agency_as_source":["Q493845","unk"],"source_file":"data/annotated_data/de/newsagency-data-tra(...TRUNCATED) | DTT | [
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1949-01-01T00:00:00 | DTT-1949-01-01-a-i0017 | [{"entity_family":"pressagency","entity_id":"DTT-1949-01-01-a-i0017#ent-0","has_ocr_correction":fals(...TRUNCATED) | DTT-1949-01-01-a-i0017 | de | {"news_agency_as_source":["Q493845","Q40464"],"source_file":"data/annotated_data/de/newsagency-data-(...TRUNCATED) | DTT | [] | mediaagencies-jsonl-v0.1 | train | "Ein russischer Schlag gegen Tito London , 31 . Dez . ( United Press ) Radio Moskau hat die folgende(...TRUNCATED) | [3,14,21,27,32,39,41,44,46,50,52,54,61,67,69,75,82,86,90,99,104,105,112,117,121,136,145,149,161,165,(...TRUNCATED) | [0,0,0,0,0,0,0,0,0,0,0,0,31,32,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED) | ["O","O","O","O","O","O","O","O","O","O","O","O","B-org.ent.pressagency.up-upi","I-org.ent.pressagen(...TRUNCATED) | [0,4,15,22,28,33,40,42,45,47,51,53,55,62,68,70,76,83,87,91,100,104,105,113,118,122,137,146,150,162,1(...TRUNCATED) | ["Ein","russischer","Schlag","gegen","Tito","London",",","31",".","Dez",".","(","United","Press",")"(...TRUNCATED) | 1,949 |
1949-07-20T00:00:00 | DTT-1949-07-20-a-i0024 | [{"entity_family":"pressagency","entity_id":"DTT-1949-07-20-a-i0024#ent-0","has_ocr_correction":fals(...TRUNCATED) | DTT-1949-07-20-a-i0024 | de | {"news_agency_as_source":["unk","Q40464"],"source_file":"data/annotated_data/de/newsagency-data-trai(...TRUNCATED) | DTT | [
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] | mediaagencies-jsonl-v0.1 | train | "Interim . Paris , 19 . Juli . Die Sozialisten bleiben in der Regierung . Dieses Resultat wurde mit (...TRUNCATED) | [7,9,15,17,20,22,27,29,33,45,53,56,60,70,72,79,88,94,98,104,120,129,132,140,152,154,158,162,166,180,(...TRUNCATED) | [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0(...TRUNCATED) | ["O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O"(...TRUNCATED) | [0,8,10,16,18,21,23,28,30,34,46,54,57,61,71,73,80,89,95,99,105,121,130,133,141,153,155,159,163,167,1(...TRUNCATED) | ["Interim",".","Paris",",","19",".","Juli",".","Die","Sozialisten","bleiben","in","der","Regierung",(...TRUNCATED) | 1,949 |
1950-01-10T00:00:00 | DTT-1950-01-10-a-i0010 | [{"entity_family":"pressagency","entity_id":"DTT-1950-01-10-a-i0010#ent-0","has_ocr_correction":fals(...TRUNCATED) | DTT-1950-01-10-a-i0010 | de | {"news_agency_as_source":["Q493845","Q130879"],"source_file":"data/annotated_data/de/newsagency-data(...TRUNCATED) | DTT | [] | mediaagencies-jsonl-v0.1 | train | "Kirche , Mensch und Staat in Deutschland Gottlose Zustände in der Sowjetzone Köln , 8 . Jan . ( R(...TRUNCATED) | [6,8,15,19,25,28,40,49,58,61,65,76,81,83,85,87,91,93,95,102,104,108,119,123,128,130,139,146,153,155,(...TRUNCATED) | [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,(...TRUNCATED) | ["O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","O","B-org.ent.pressagency.(...TRUNCATED) | [0,7,9,16,20,26,29,41,50,59,62,66,77,82,84,86,88,92,94,96,103,105,109,120,124,129,131,140,147,154,15(...TRUNCATED) | ["Kirche",",","Mensch","und","Staat","in","Deutschland","Gottlose","Zustände","in","der","Sowjetzon(...TRUNCATED) | 1,950 |
Impresso Media Sources Dataset
Curated token-classification data for news-agency and radio-station mentions in Impresso historical newspaper text.
The v0.1 data is derived from the legacy French/German HIPE-style news-agency annotations, converted to JSONL, manually reviewed against the current model's dev/test disagreements, and updated according to annotation guidelines v2.0. The current guidelines annotate every explicit canonical media-source organization mention, not only source-attribution uses.
Files
data/train.jsonl
data/validation.jsonl
data/test.jsonl
label_map.json
dataset_summary.json
audit/curation_summary.json
audit/curation_changes.jsonl
audit/curation_changes_tags.tsv
Each JSONL row represents one document/article. The published data/*.jsonl files intentionally use a compact training schema rather than the full converted HIPE payload, so they are easy to load with datasets and inspect in the Hub viewer:
id,language,newspaper,date,year,document_idtexttokenstoken_start_offsets,token_end_offsetstoken_labels,token_label_idsentitiesquality_flagslegacy
The canonical annotations are the BIO labels in token_labels plus the resolved span records in entities. The row-level legacy object is only for tracing back to the converted HIPE source and may contain source_format, source_file, and the original news_agency_as_source values. The latter is historical provenance from the thesis-era annotation semantics and should not be treated as the current target annotation.
Important metadata fields:
newspaper: source newspaper/media identifier from the original annotation metadata, for exampleDTT.legacy.source_format: original annotation format, for examplehipe-tsv.legacy.source_file: original converted annotation file, for exampledata/annotated_data/de/newsagency-data-dev-de.tsv.legacy.news_agency_as_source: document-level source-attribution QIDs from the thesis-era HIPE metadata. This is provenance only; the current gold annotation is intoken_labelsandentities.quality_flags: non-fatal import or curation warnings.has_forbidden_legacy_labelsmeans the original row contained labels excluded by the current label policy, such asunk, unresolvedag, orpers.ind.articleauthor; these labels were removed from the trainable annotation.
Fields intentionally excluded from the public training rows:
token_nel,token_ocr,token_render,token_segment_ids: token-level HIPE side channels used for conversion/debugging, not model training.segments: segment and IIIF metadata; useful for traceability, too large for the primary training table.sentences: derived sentence spans; redundant for current token-window training.entities[].label_originalandentities[].status: legacy normalization/audit fields; the current label isentities[].label.
audit/curation_changes_tags.tsv is a compact CoNLL-like review file with TOKEN, BEFORE_NERTAG, and AFTER_NERTAG columns for the manually reviewed changes. It is intended for human audit, not model training.
Loading
from datasets import load_dataset
dataset = load_dataset(
"impresso-project/impresso-mediaagencies-ner-dataset",
data_files={
"train": "data/train.jsonl",
"validation": "data/validation.jsonl",
"test": "data/test.jsonl",
},
)
Label Policy
Trainable labels use two namespaces:
org.ent.pressagency.<canonical_id>org.ent.radiostation.<canonical_id>
Forbidden legacy labels such as unk, unresolved bare ag, org.ent.pressagency.ag, and pers.ind.articleauthor are excluded from the trainable label space.
The source copy of this card lives in the workbench. Publishing scripts copy it into the Hugging Face dataset repository.
License
License metadata is set to other until the final redistribution terms for the converted annotations and Impresso text snippets are confirmed.
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