--- 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 ```text 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_id` - `text` - `tokens` - `token_start_offsets`, `token_end_offsets` - `token_labels`, `token_label_ids` - `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`, `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 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`. - `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 in `token_labels` and `entities`. - `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. 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_original` and `entities[].status`: legacy normalization/audit fields; the current label is `entities[].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 ```python 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.` - `org.ent.radiostation.` 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.