README.md

metadata

language:
  - fr
  - de
task_categories:
  - token-classification
tags:
  - historical-newspapers
  - named-entity-recognition
  - impresso
pretty_name: Impresso Media Sources Dataset
license: other

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_id
• text
• tokens
• token_start_offsets, token_end_offsets
• token_labels
• entities
• quality_flags
• legacy

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 example DTT.
• legacy.source_format: original annotation format, for example hipe-tsv.
• legacy.source_file: original converted annotation file, for example data/annotated_data/de/newsagency-data-dev-de.tsv.
• quality_flags: non-fatal import or curation warnings. has_forbidden_legacy_labels means the original row contained labels excluded by the current label policy, such as unk, unresolved ag, or pers.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 row id, character offsets, and label.

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 from token_labels and label_map.json by 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, and NIL, 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, and entities[].status: legacy normalization/linking/OCR/audit fields. The current label is entities[].label; current entity links use entities[].wikidata_url; compact OCR corrections use entities[].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.