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null | 1905-09-22T00:00:00 | BLHD-1905-09-22-a-i0012#match-0 | [
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"start": 46,
"stop": 48,
"surface": "tu",
"token_start": 7,
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] | BLHD-1905-09-22-a-i0012#match-0 | en | BLHD | [] | mediaagencies-jsonl-v0.2 | train | PEARSONS' ART POTTERY STORES Arc acknowledged tu be the Finest in the North of England. Call and see the LARGE DISPLAY of ART POTTERY & CHINA, suitable for Presents of all kinds. Great Variety of TEA and DINNER SETS, TOILET and TRINKET SETS, VASES, FANCY GOODS, etc. PRICES TO SUIT ALL THE | [
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null | 1902-07-15T00:00:00 | buergerbeamten-1902-07-15-a-i0007 | [] | buergerbeamten-1902-07-15-a-i0007 | de | buergerbeamten | [] | mediaagencies-jsonl-v0.2 | train | Was in der Welt vorgeht. Ausland=Nachrichten. Frankreich. Die Regierung ist ernstlich gewillt, gegen die Orden das Gesetz anzuwenden. Deshalb hat dieselbe die Ordensanstalten zu schließen angeordnet, die auch die ihnen di« zum 1 Januar diese« Jahre« verlängerte Frist, sich dem Gesetze anzupassen, unbenutzt haben ver- s... | [
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null | 1904-06-02T00:00:00 | buergerbeamten-1904-06-02-a-i0003 | [] | buergerbeamten-1904-06-02-a-i0003 | de | buergerbeamten | [] | mediaagencies-jsonl-v0.2 | train | Sprechsaal. (Ueber bie unter dieser Rubrik erscheinenden Korrespondenzen übernimmt die Redaktion keine Verantwortlichkeit.) Luxemburg, 1. Juni 1904. Herr Redakteur, Da haben di« Wähler der reaktionären Partei d 6 Hin. Prüm schwer heimgeleuchtet und ihr eine Niederlage bereuet, von der fie ftch sobald nicht mehr erholen... | [
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null | 1904-06-14T00:00:00 | buergerbeamten-1904-06-14-a-i0011 | [] | buergerbeamten-1904-06-14-a-i0011 | de | buergerbeamten | [] | mediaagencies-jsonl-v0.2 | train | Nachrichten aus dem Großherzogtum. Dommeldinge«, 13. Juni. (Ertrnnlen.) Der 19jährige Fuy.lnechl des tttchtttncn Hrr. Nennig von hier nahm am Eam tag Abend gegen 9 Uhr ein Bad >n der Atyett« zwischen der Dommeldinger Brücke itnbty. figer Sö rnelz. Da das Wasser an dieser Stelle zwei Met« tief ift und derselbe nicht gut... | [
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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_STATISTICS.md
DATASET_STATISTICS.md is a generated, human-readable release report with split sizes, token and mention totals, language and entity-family distributions, date and newspaper coverage, per-label frequencies, and the train/validation/test document-overlap check.
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_labelsentitiesquality_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 and source_file.
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.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.entities[].wikidata_url: canonical Wikidata URL when available. Raw NEL/QID provenance is not part of the public training contract.entities[].ocr_correction: optional object present only when OCR/transcript evidence corrected the visible entity surface.- Public
entities[]do not include synthetic entity IDs. If a stable entity reference is needed, derive it from rowid, character offsets, andlabel.
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.token_label_ids: integer labels are derived fromtoken_labelsandlabel_map.jsonby training code when needed.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.legacy.news_agency_as_source: thesis-era document-level source-attribution provenance. It mixes QIDs with sentinels such as_,unk, andNIL, and is not part of the current annotation target.entities[].entity_id,entities[].nel,entities[].normalized_surface,entities[].has_ocr_correction,entities[].max_ocr_levenshtein,entities[].label_original, andentities[].status: legacy normalization/linking/OCR/audit fields. The current label isentities[].label; current entity links useentities[].wikidata_url; compact OCR corrections useentities[].ocr_correction.
Workbench/audit artifacts such as curation operation files, TSV materializations, tokenization migration reports, and model-specific quality diagnostics are intentionally not part of the Hugging Face dataset payload.
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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